Feel the possibilities of a connected world. Internship opportunities in Belgium

Transcription

1 Feel the possibilities of a connected world Internship opportunities in Belgium

2 2 Internships Nokia Belgium

3 Feel the possibilities of a connected world Nokia is enabling a new kind of technology. We re purposefully shaping the new revolution in connectivity to positively impact people s lives each day: where networks, data, devices seamlessly integrate and are effortless to use; where technology is designed with humanity, integrity and dependability at heart. We have always been agile, reinventing and rebuilding our company over 150 years to meet the changing demands of our customers and the market. Now is an exciting time to be part of Nokia and build the future of technology. Our vision is to expand the human possibilities of the connected world. We want to create and enable new and extraordinary experiences in people s lives through technology that is grounded in real human needs. We have a strong business that brings together five world-class business groups with the innovation capabilities and an end-to-end portfolio of products, software and services to help shape a new era of seamless connectivity. Mobile Networks, which deploys a high quality and reliable mobile broadband experience. Fixed Networks, which drives efficient solutions to deliver more bandwidth to more users. IP / Optical Networks, which provides massively scalable networks to enable the Cloud. Applications & Analytics, which provides intelligent platforms to optimize and automate network performance. Alongside them, Nokia Technologies will continue to operate as our licensing and incubation engine. Underpinning our networks technologies is the pioneering work of Nokia Bell Labs, our networks focused research and innovation division. Our people are excited and inspired about the endless possibilities that technology offers. We are a global organization employing people from 160 nationalities in over 100 countries. There is a genuine buzz about working here; there are lots of smart people who will challenge you and expect to be challenged by you in return. Are you ready? Join us and be part of a story that has always been written. Feel inspired to make technology human A sense of human purpose drives our business. Help us create technology designed to meet real human needs. Feel encouraged to innovate With us, you will work with nextgeneration technology to design products and solutions that will shape the future. Internship opportunities Belgium 1

4 In Belgium 2 Internship opportunities Belgium

5 Join us as student in Computer Sciences, Telecom, Electronics or ICT engineer and feel encouraged to innovate. With us, you will work with next generation technology to design products and solutions that will shape the future. In Belgium we hold a strong position within the group as one of the All Function Hubs locations at the heart of the company with a concentration of most skills. Our offices in Antwerp host among others the headquarters of Fixed Networks, a major ION (IP and Optical Networks) department and activities in Cloud and customer experience. Antwerp hosts as well one of the core centers of Nokia Bell Labs, working on mid and longer term fundamental research. In 2017 we are offering 30+ opportunities for students in the field of software and hardware development. Fixed Networks Bringing extreme efficiency to network transformation with an end-to-end ultra broadband solution, combining copper and fiber access products to deploy fiber to the most economical point. Nokia Bell Labs Nokia Bell Labs is one of the world s leading research institutions. Nokia s long history is marked by change and reinvention. We ve always been excited by where technology will lead us as we seek to expand the human possibilities of a connected world. IP/Optical Networks Driving technology leadership to build dependable, largescale, yet flexible network infrastructures for service providers and web-scale enterprises, bringing together IP Routing, Optical Transport and IP Video, with the software and services to manage them. Motive From DSL or Fiber Networks, over Wifi or LTE, Home Devices up to Internet-of-Things, our engineers and experts provide software solutions that monitor, analyze and optimize the end-user quality of experience. Internship opportunities Belgium 3

6 Get to know our students Every year, we host several students, joining us to collaborate on various projects. Our internships are available all year long and we see the wider number of interns joining us during the summer break for 8-12 weeks. Our internship program is flexible and can be adapted to every student needs: you can choose on which tasks you wish to focus more, you can choose the duration and the starting date. How to apply for the internships You can apply on our website Every internship has a code that you can use to filter the internship you prefer. You can receive support for your application sending us an . All of our contacts are mentioned at the backpage of this booklet. The selection process After submitting your application, you will be contacted by the internship manager to start the internship process, that will consist in one or more interviews. During the selection process, you can agree with the manager on the exact starting date and duration of your internship. If you like one internship that presents more than one topic, like the ones in Fixed Networks, IP R&D and Nuage R&D, you can express your preference on the topic during the selection process (while you will be applying for the generic internship title). Our activities for interns You will design your internship path and goal together with your coach, that will train you and will make sure you have all information and tools needed to execute at the best your tasks. We are organizing company tours all year long and various networking moments with our young employees that you can join to discover the international and collaborative spirit of Nokia in Antwerp. 4 Internship opportunities Belgium

7 Louisa Master of Computer Networks and Distributed Systems Antwerp University Nokia Bell Labs intern in Advanced Media Access Control in LoRa Networks Jonathan Attended the internship before starting his Masters in Computer Science this fall KU Leuven IP intern in Customer Network Disruptive Testing Bell Labs is very reputable in the telecommunications field because of its diverse portfolio and I am glad to have had my Research Internship here. I had an overview of the lab environment, the Bell Labs team, the organizational structure, and working culture. This will be useful for me because I intend to look for job opportunities in a multinational company after my graduation. Emil Master in Mathematical Engineering at KU Leuven Nokia Bell Labs interim in Machine learning for broadband Wireline Access It is quite interesting to see the things you learned and heard about during your education happening in an industrial context for the first time. What strikes me most is the sheer scale of things: the projects Nokia s employees work on are far bigger than I could have imagine beforehand and simply too vast to be entirely understood by any single person or team. Although the different departments, and even the people within these departments, have very diverse ways of working, everything happens in an organized and efficient fashion. I also consider the international aspect (colleagues from all over the world working in Antwerp, communicating with software developers in offices abroad) to be quite enriching, as well as the possibility to have some in-depth conversations with employees. It was a great experience to be involved with research on real-world problems. While I was here, I had the feeling that my ideas and contributions were valued and that I was not just an intern. I also learned a lot from colleagues with different backgrounds from my own. In the next pages, you will discover the internship opportunities offered by our teams in Antwerp. Internships for Master students These internships are open to students enrolled in their Master, or that are beginning their Master in September Internships for PhD students These internships are open to PhD students in Bell Labs and Motive. For the majority of our internships, you will agree the length with the coach during the selection process. Get in touch with us to know more about it! Internship opportunities Belgium 5

8 6 Internship opportunities Belgium Fixed Networks

9 Nokia s Fixed Networks division brings ultra broadband internet access technologies to the homes of end-users and to the premises of businesses. To maintain our #1 position in the increasingly competitive telecommunication market, Nokia differentiates by bringing gamechanging solutions to its customers around the world. You will be working from our Fixed Networks headquarters in Antwerp the birthplace of Broadband. We developed the first ADSL and VDSL solutions, we built the first large-scale fiber-to-the-home networks, and we have come up with technologies that boost DSL speeds to 100Mbps and even 1Gbps. The fixed access product portfolio consists out of Fiber and Copper Access technology. In both domains the ASIC and FPGA System On Chips (SoC s) are the heart of the system, making it possible for Nokia to have differentiating products at the right cost points. At the core of this innovation there is often a tailor made ASIC or FPGA implementation of a Network Processor, Digital Signal Processor or Media Access Controller (MAC) for the next-generation DSL or PON technologies. Nokia has an ambitious and young SoC team of which you will be part during this internship. ASIC/FPGA Internship KH Type: Internship Duration: up to 12 weeks We offer an internship position in an agile organized scrum team where you can cover one of the following topics: System on chip - Interconnect code generation. System on chip - Control interface code generator. Embedded system - Hardware abstraction layer for next generation system on chip. High level synthesis - Application in telecommunication system on chip. You will delve into SoC-design and its architecture, design and verification challenges. You will generate VHDL or Verilog source code and use state of the art tools to simulate and build your design. This internship is open for 2 students with the following or equivalent background: Master of Engineering, Electronics. Master of Industrial Sciences, Electronics. Master of Engineering, Computer Science. Master of Industrial Sciences, Computer Science. Internship opportunities Belgium 7

10 Description of the topics System on chip - Interconnect code generation Nokia s Fixed Networks division brings ultra broadband internet access technologies to the homes of end-users and to the premises of businesses. To maintain our #1 position in the increasingly competitive telecommunication market, Nokia differentiates by bringing game-changing solutions to its customers around the world. This internship gives you the opportunity to expand your knowledge in the area of ASIC and FPGA-based SoC (system on chip) -development. Every SoC consists of multiple in-house or 3rd party VHDL or Verilog IP modules. Large number of various types of interconnect busses go back and forth between these modules. One of the challenges while developing a SoC is connecting these various subsystems efficiently together. By generating this interconnect logic source code from a higher description language, a significant efficiency improvement can be achieved. Identify industry standard interfaces and a way to represent modules, their interfaces and interconnect in an EDA (Electronic Design Automation) tool. Discuss the solutions architecture with the team. Implement and test your EDA tool. Understand the flexibility needed when generating SoC interconnect source code. Choosing an implementation platform (Web, Python with QT GUI, JAVA, ). Generating and executing a development and test plan for your assignment. Demonstrate your solution and prove the fitness for next generation SoC-design. You will take part in the day to day workflow of an agile organized scrum team. You will work with experts in digital circuit design and verification. You will use state of the art tools to simulate and build your solution. System on chip - Control interface code generator Nokia excels in technology for creating ultra broadband fixed networks connecting people and businesses to the network. This technology expands from hardware to embedded and application software solutions with engineers developing this product at our Antwerp offices. At the core of the innovation there is often a tailor made ASIC or FPGA implementation of a Network Processor; Digital Signal Processor or Media Access Controller (MAC) for the next-generation DSL or PON technologies. Nokia has an ambitious and young SoC team of which you will be part during this internship. Every ASIC has a complex control plane with thousands of registers and tables configurable by software. Each of these registers can have a different operational mode like Read/Write, Read Only or Read/Clear on Write. More complex registers enable true concurrent software interfacing through semaphores and mailboxes. The generation of this control plane logic is currently done by manually instantiating custom IP blocks into the VHDL or Verilog source code. Identify the requirements of a structured description of the control plane logic features. Discuss the solutions architecture with the team. Fully automate the generation of control plane logic source code. Understand the control plane needs for next generation SoC (system on chip) development. Choose an implementation approach (template engine, pseudo code, high level synthesis, ). Generating and executing a development and test plan for your assignment. Demonstrate your solution and prove the fitness for next generation SoC-design. You will take part in the day to day workflow of an agile organized scrum team. You will delve into SoC-design and its architecture, design and verification challenges. You will design in VHDL, starting from existing IP blocks and extend them to fit your strategy. You will use state of the art tools to simulate and build your solution. 8 Internship opportunities Belgium

11 Embedded system - Hardware abstraction layer for next generation system on chip Nokia is the #1 leader in bringing fixed network extensions to homes and businesses across the globe. To bring the next generation ultra broadband connectivity to our customers we develop an embedded system with in-house software and custom tailored hardware. This hardware follows the state of the art technology nodes while the high level software continues to build upon the industry standards set by Nokia. Following the higher integration levels and lower power technology nodes with the hardware requires a solid architecture of the application software. Making abstraction of the hardware specifics to enable long lived software applications is a key enabler to success. This internship offers you the possibility to take the next step in the hardware abstraction challenges at the hardware-software interface. Identify the requirements of a structured description of the hardware control plane logic features. Architecture a future proof and versatile hardware abstraction software solution. Discuss the solutions architecture with the team. Understand the hardware abstraction needs for next generation SoC (system on chip) design. Choose an implementation approach (API, ). Generating and executing a development and test plan for your assignment. Demonstrate your solution and prove the fitness for next generation SoC-design. You will take part in the day to day workflow of an agile organized scrum team. You will appreciate the tight coupling of SoCdesign and the low level software. You will use state of the art tools to simulate and build your solution. High level synthesis - Application in telecommunication system on chip Nokia is the industry leader in DSL (digital subscriber line) technology and in order to maintain this #1 position we invest heavily in digital signal processing techniques for DSL flavors like VPlus, G.FAST and XG.FAST. With this signal processing technology we bridge the performance gap between an expensive new fiber rollout and an existing classical twisted pair telephone line network. The applied digital signal processing techniques involve crosstalk cancellation with adaptive filters. To cope with the increasing computational needs for these filters and the decreasing power budget, state of the art ASIC and FPGA technologies are used. Integrating these digital designs by using HLS (high level synthesis) could potentially reduce the time to market. This internship offers you the possibility to explore the application of high level synthesis in various areas of our designs. Identify areas where high level synthesis can be applied in our designs. Explore high level synthesis tools and techniques. Discuss the applications and solutions with the team. Understand where high level synthesis can and cannot be applied. Choose a number of product areas or design examples to approach with high level synthesis. Choose a high-level-synthesis tool. Generating and executing a development and test plan for your assignment. Demonstrate your solution and prove the fitness for next generation SoC (system on chip) design. We offer an internship position in an agile organized scrum team. You will delve into SoC-design and its architecture, design and verification challenges. You will generate VHDL or Verilog source code and use state of the art tools to simulate and build your design. Internship opportunities Belgium 9

12 IP R&D 10 Internship opportunities Belgium

13 The IP and Optical Networks R&D team in Belgium is a very lean technical team that is part of the international ION R&D organization that has put Nokia on the worldwide IP map. Our developers and testers develop, test and support router product features for the whole IP product range. You will be working in a very talented team and in a technically challenging and stimulating environment. With the ever expanding internet, the convergences of the Fixed and the Mobile world, the explosion of video related applications, the 4th generation of Mobile communications, we are looking for talented students to join our teams and build the future of the connected world. Currently 20+% of world s internet traffic is going through our routers. IP R&D Internship YN Type: Internship Duration: up to 12 weeks The IP R&D team in Antwerp, next to development and testing, have the responsibility for the 4th level customer support organization, assisting 2nd and 3rd level customer support organization outside Belgium. For internship we offer several possibility s depending on your interest, going from pure coding to debug code errors, to full IP network provisioning setup and debugging. The coding assignments would be, here again depending on your interest, on tools, automation, IOT (internet of things) related protocols, web interfaces, databases. Depending on your interest and academic background, you will be discussing during the interview your interests and we will build together with you the internship that can be related the most to your profile. Enrolled student in Networking / IT, Computer Science, Electrical Engineering, preferably in Master. A healthy mix of programming languages between HTML, CSS, PHP, JavaScript, MySQL, JQuery & Linux. Interest in IP networks. Interest in SW/HW. Autonomy in working and proactivity. Analyze the possibility to get the API of the firewall interconnected with existing services (vsimcity, Cacti,Bug system, etc). You will build your internship description during the selection process: we want to hear from you about your interests! Internship opportunities Belgium 11

14 Nuage R&D 12 Internship opportunities Belgium

15 In Nuage Networks we are bringing a unique combination of ground breaking technologies and unmatched networking expertise delivering a massively scalable SDN solution that ensures the datacenter and wide area network are able to respond instantly to demand and are boundary-less. The cloud can be more than what it is. In fact, it needs to be. When we founded Nuage Networks, it was with the idea that it s time for the cloud to come of age. From the beginning we recognized the unique challenges that cloud service providers and large enterprises face delivering and managing large, multi-tenant clouds. Nuage Networks is a Nokia Networks venture and technology leading in Software Defined Networking (SDN) and Policy-Driven Network virtualization and abstraction. Leveraging a unique combination of ground breaking SDN technologies and unmatched networking expertise we are able to deliver a massively scalable SDN solution, making the datacenter and wide area network boundary-less. The Nuage Networks engineering team in Antwerp was founded in 2015, is fully energized and highly contributive in disrupting the industry. The team is closely collaborating with the team in Mountain View, CA. Read more about us at Internship opportunities Belgium 13

16 Nuage R&D Internship Z2 Type: Internship Duration: up to 12 weeks The Nuage Networks SDN portfolio seamlessly unifies programmatic control across all of your datacenter workloads, whether they are virtualized and running on VMs or containers, or on bare metal assets. We also extend the same consistent control to remote locations and branch sites anywhere (Software Defined Wide Area Networking or SD-WAN), ensuring that all user applications are at the touch of a button, anywhere and on any cloud. The Nuage Virtualized Services Platform (VSP) allows for integration of Virtualized Cloud Services within open-source Cloud Management Systems as OpenStack and CloudStack. The Nuage Networks engineering team in Antwerp is largely focused at developing & test automating this rich integration and we are looking for Computer Science talents willing to join us in one of the pages internship positions. Development: Within the scope of the OpenStack / Nuage Networks integration, you will investigate and prototype the ability of introducing python mocking and developing automated unit tests within the Nuage Networks OpenStack plugin. Devops: You will learn and prototype Terraform ( and setup automated Terraform based deployments with Nuage/OpenStack and Nuage/Cloudstack. Devops: Within the scope of the CloudStack / Nuage Networks integration, you will prototype an integrated pre-commit staging environment within the scope of CloudStack / Nuage Networks development activities. During the selection process, you will agree on your internship tasks, responsibilities and duration together with your future internship coach. Enrolled student in Bachelor or Master of Computer Science, Networking / IT, ICT. Interest in IP networks. Interest is SW/HW. Knowledge of linux, phyton,sql, rest, GUI software. Analytical skills. 14 Internship opportunities Belgium

17 Nuage Internship Expert System for Datacenter IN Type: Internship Duration: 4 up to 12 weeks This internship seeks a motivated student willing to dive into the various technologies present in nowadays datacenters. In a collaborative way, you will prototype an expert system that interfaces with the different technology domains upon which the Nuage Virtual Services Platform touches. Depending on your interests, you can work with any of the following technologies: Virtualization (kvm/vmware) and Container technologies (Docker) Databases and Clustering (percona DB, JBoss), Could orchestration platforms (Openstack/Vmware/Kubernetes) DevOps DC automation (Ansible) Networking (specifically SDVPN and SDWAN related protocols like OpenFlow, ebgp,...) DataCenter monitoring (Splunk) Performance engineering (related Java, linux hypervisors, ) In an explorative manner, you touch upon any of the above technologies and evaluate how an expert system can contribute to automated problem detection. After a lightweight analysis of your problem domain and subsequent selection of an opensource knowledge system, you will establish a prototype rule-based expert system that interfaces with components that are part of Nuage s Virtualized Services Platform (VSP) and technologies used by VSP. Through partial data modeling of the problem domain and establishment of a rule base, you will experiment with the expert system as to get a first impression about the complexity and implications involved when applying an expert system on a DataCenters day-to-day operations Enrolled student in Computer Engineering, Computer Science or similar Ability to work with or quickly acquire knowledge in any of the programming (C/C++ Java, Python, Go, ) and/or scripting languages (bash, ), Db programming (MySQL). Being confident programming language agnostic. During the selection process, you will agree on your internship tasks, responsibilities and duration together with your future internship coach. Internship opportunities Belgium 15

18 Nokia Bell Labs 16 Internship opportunities Belgium

19 Nokia Bell Labs is one of the world s leading research institutions, chartered with producing disruptive innovations for next phase of human existence. With expertise in analytics, cloud, fixed, optics and wireless and by collaborating openly with the global innovation community, we are seeking the technology solutions that will transform the connected world, enhancing the speed, capacity, efficiency and reliability of data, and the increasing automation and digitization of our lives and entire industries. For 90 years, scientific breakthroughs at Nokia Bell Labs have fundamentally transformed the ICT industry, and won 8 Nobel Prizes. We have been inventing the future, understanding the challenges that confront humankind in communications and networking, and inventing solutions to those problems, by pushing beyond accepted limits. In the last few years alone, our innovations have led to a complete turnaround in Fixed Networks (vectoring innovation) and Optical (100G Coherent detection innovation), and we are now pioneering the creation of 5G network technologies as well as novel IP and Optical routing algorithms and new analytics and deep learning techniques. We ve always been excited by where technology will lead us and we will continue to innovate, reimagining how technology works for us discreetly while blending into, and enriching, our daily lives. In Antwerp 70+ researchers of over 15 different nationalities are exploring technical challenges, among others in areas such as fixed networks (copper access, HW platforms, indoor networking, access network control), network algorithms, analytics and control, Internet-of-Things, communication systems software, novel media coding and real-time information processing. As several business units and competence centers are housed in the same facility, the researchers can get rapid feedback on technical solutions for market-relevant challenges. In the following pages, you will can discover all the internship topics proposed by our organization. Internship opportunities Belgium 17

20 Analog/mixed-signal analysis & design for leading-edge wireline access PD Type: Internship Duration: up to 12 weeks This internship seeks highly motivated students to jointly analyze & shape the analog/mixed-signal building blocks for future generations of multi-gigabit per second wireline network solutions using copper line infrastructure. You will join the team of analog ASIC researchers in Bell Labs, working on the realization of strategic analog/mixed-signal building blocks. The Analog/Mixed Signal ASIC research team, as part of the world-leading Nokia Bell Labs research center, is an ASICoriented competence team. It groups experts around the globe and acts as centralized research group for the entire Bell Labs community. An important focus for the team in Antwerp is the analog/mixed signal ASIC research collaboration in the Fixed Networks context. We target to create revolutionary ASIC solutions for future networks. Working in close collaboration with the analog & digital ASIC team and providing added value in the analog/mixed signal circuit analysis & ASIC design. Propose, defend and demonstrate alternative ideas to solidify the design. Design, model, simulate and evaluate the performance of critical analog/mixed-signal building blocks for our next generation products. Starting with a thorough understanding of discrete solutions through theoretical and experimental work, this primarily focuses on transistor level simulations as well as post-layout parasitic extraction evaluation. Propose out-of-the-box solutions and innovations which have a high performance and/or power impact. Enrolled student in Master of Electrical Engineering or relevantly related area. Experience with analog circuit design, simulation and layout tools. Knowledge of analog & mixed-signal design flow. Knowledge of CMOS technology flavors for high speed & low power design. Experience with Matlab. Interests in working with experimental lab setups & high-end test equipment. You will make contacts in this great innovation center, Bell Labs, and you will amiliarize yourself with the process to develop innovative new products intended to reach the public only in 5 years from now, getting the opportunity for in-depth understanding of analog integrated circuits and hands-on analog ASIC design. 18 Internship opportunities Belgium

21 Analyze, build & evaluate efficient cost models & ASIC/FPGA building blocks for design-space exploration of ASIC/FPGA solutions PC Type: Internship Duration: up to 12 weeks The Fixed Networks Lab, as part of the world-leading Nokia Bell Labs research center, has expert teams located in Antwerp, New Jersey, Stuttgart and Shanghai. The Access Hardware Platform team in Fixed Networks Research is the proven innovation engine for next generation hardware concepts & technologies. We target to move beyond regular evolutionary steps & create revolutionary ASIC & FPGA solutions for future networks. Finding an optimal ASIC architecture that performs a certain digital signal processing task within a limited amount of time is challenging as there are several millions of possible combinations of using its various building blocks, such as Adders, Multipliers, Multiplexers, etc. In order to perform the design-space exploration in a faster and efficient manner, an accurate cost model that provides area, power consumption and performance needs to be developed. Working in close collaboration with the digital ASIC research team to analyze, build and evaluate differentiating digital ASIC/FPGA building blocks for next generation Wireline Access Products. You will analyze & develop a cost (power/ performance/size/ ) model that is suited for the class of signal processing algorithms that are typically foreseen in the Nokia s leading-edge access product. The cost model needs to be a run-time efficient contributor used during design-space exploration while maintaining the accuracy of area, power and performance numbers of the final solution. You will validate the concepts through design & evaluation on FPGA targets. The various tasks of this internship includes study of the state-of-the-art design-space exploration techniques for ASIC/FPGA solutions, synthesis of various building blocks that typically needs to be used in ASICs for different process technologies, development of the abstract cost model based on the synthesis results of the building blocks to cover the entire range of configurations of the building blocks and finally, evaluation of the cost model against real synthesis results of an example ASIC/FPGA. Enrolled student in Master of Electrical Engineering or relevantly related area. Experience with digital (VHDL) design, simulation and synthesis tools for ASIC and FPGA technologies. Knowledge of digital design flow. Knowledge of CMOS ASIC technology flavors for digital design. Affinity with programming (e.g. C/C++) and scripting languages (e.g. Python) would be a plus. Internship opportunities Belgium 19

22 Broadband access through a marriage of machine learning and adaptive signal processing TW Type: Internship Duration: up to 12 weeks You will be working with the Copper team, who s main activities are centred around the design of next generation copper access technologies. Two recent innovative Gigabit technologies are G.fast and the world record XG-fast technology developed by Bell Labs and achieving 10 Gbit/s data rate transmission over traditional copper lines. The focus of this internship will be on the investigation on how machine learning concepts and adaptive signal processing can be combined into powerful transmission techniques that can boost performance beyond state-of-the-art. The goal of this work is the understanding and development of machine learning inspired adaptive signal processing and their applications, the development of low complexity algorithms, an assessment of their performance and the practical implementation on a realistic simulator setting. Through literature study, you will gain understanding on machine learning inspired adaptive signal processing techniques. Through interaction with the team, you will gain deep understanding of the challenges of transmission techniques in a fixed access network, and the potential throughput gains by innovating beyond state-of-the-art. You will select one or more use cases relevant to fixed access, and will select, evaluate and improve a particular technique. You will combine numerical simulations (e.g. Matlab) with theoretical analysis. You will document and present the developed techniques and results. Enrolled student in Electrical Engineering, Computer Science, Applied Mathematics, Physics. You are a quick learner, able to identify and research new technologies. You are ready to be challenged outside your comfort zone. 20 Internship opportunities Belgium

23 Channel Characterization in Powerline Communication Q3 Type: Internship Duration: up to 12 weeks As network operators are continuously modifying and improving the network infrastructure to support the always increasing bitrates, consumers are often reluctant to follow the same trend inside their own homes. Consumers refuse to perform modifications to their households and prefer non-invasive data-transportation techniques. A well-known approach that tackles this issue is the configuration of a Wi-Fi network in the home, but also powerline communication (PLC) is often used. PLC utilises already present powerlines, that were embedded into walls during construction of the home, for highspeed data communication. Since typically all rooms are supplied with power sockets, PLC provides excellent coverage compared to the more conventional Wi-Fi. PLC has proven its usability and has been widely adopted. However, to provide consumers a suiting non-invasive in-home network infrastructure for the bitrates of the future, current solutions are inadequate. You will be working with the Copper Access and Indoor team, who's main activities are centred around the design of next generation copper access technologies. Two recent innovative Gigabit technologies are G.fast and the world record XG-fast technology developed by Bell Labs achieving 10 Gbit/s data rate transmission over traditional copper lines. The focus of this internship will be on the investigation of the channel characteristics in a PLC system. Dependent on the background and interest of the student, the specific task can be delimited. The goal of this work is the characterization of channels found in powerline communication systems to gain a better understanding and allow such systems to support the bitrates of the future. You will build up knowledge on the transmission and noise characteristics of powerline networks. Starting with literature study, you will gain knowledge on the state of the art in powerline communication. Through interaction with the team, you will obtain insight in the challenges that are presented in this area and you will try to devise suitable solutions. You will develop and validate solutions through combining numerical simulations (e.g. Matlab) with theoretical analysis and cable measurements. You will document and present the developed techniques and results. Enrolled student in Electrical Engineering, Computer Science, Applied Mathematics, Physics, preferably in Master. You are a quick learner, able to identify and research new technologies. You are ready to be challenged outside your comfort zone. Fluent in English spoken and written. Internship opportunities Belgium 21

24 Circuit analysis & board design for leading-edge wireline access product research PB Type: Internship Duration: up to 12 weeks The Fixed Networks Research program, as part of the world-leading Nokia Bell Labs research center, has expert teams located in Antwerp, New Jersey, Stuttgart and Shanghai. The Access Hardware Platform team in Fixed Networks Research is the proven innovation engine for next generation hardware concepts & technologies. We target to move beyond regular evolutionary steps & create revolutionary ASIC & FPGA solutions for future networks. For this internship we seek a student who wants to experience a hands-on board design project targeted at demonstrating multi-gigabit access technologies. The board design will combine a number of analog and digital functions which will be part of a platform to demonstrate different aspects of the world-leading fixed access research of Bell Labs. The intern will be working in the research team consisting of ASIC, FPGA, analog experts as well as system experts. Working in close collaboration with the hardware research team and actively contribute to the next generation product platform. Propose, design, simulate and measure the solution which can be embedded in the demonstrator platform. Design, simulate, test and measure a board which combines (and improves) a number of functions part of an existing demonstrator. Starting with thorough understanding of the existing solutions and implementations, a new or improved implementation is to be proposed and designed. After simulation, the circuit board will be implemented, measured & verified. You will make contacts in this great innovation center, Bell Labs, and you will familiarize yourself with the process to develop innovative new products intended to reach the public only in 5 years from now, getting the opportunity for in-depth understanding of state of the art communications systems, with knowledge build-up in various analog & digital electronics areas. Enrolled student in Master of Electrical Engineering or relevantly related area. Experience with analog/digital board design, simulation and layout tools. Knowledge of analog & digital design flow. Interests in working with experimental lab setups & high-end test equipment. You are eager to learn, open-minded and self-critical. You are fluent in English and a natural communicator in a multi-disciplinary team. 22 Internship opportunities Belgium

25 Design & demonstrate real-time embedded software for leading edge wireline access research PE Type: Internship Duration: up to 12 weeks The Fixed Networks Research program, as part of the world-leading Nokia Bell Labs research center, has expert teams located in Antwerp, New Jersey, Stuttgart and Shanghai. The Access Hardware Platform team in Fixed Networks Research is the proven innovation engine for next generation hardware concepts & technologies. We target to move beyond regular evolutionary steps & create revolutionary ASIC & FPGA solutions for future networks. This internship focuses on the exploration of real-time processing algorithms targeted on a high-end Graphical Processing Units (GPUs) or in-house developed, massively parallel processors. For future real-time processors as well as our proprietary application specific processors, parallel execution and programmability are of utmost importance. The inherent parallelism and programmability of a GPU makes it an ideal stand-in for these future real-time processors and allows to explore novel programming concepts. The GPU processing can be integrated into a larger end-to-end framework demonstrating our Bell Labs vision for future access nodes. Working in close collaboration with the hardware & software team and providing added-value realization of novel GPU based highly parallel L1 processing. This internship covers learning about GPU architecture, writing parallel software in CUDA and profile GPU code. Enrolled student in Master of Electrical Engineering, Computer Science or relevantly related area. Experience with C/C++. Knowledge of modeling languages (matlab, SystemC). Affinity with CUDA is a plus. Affinity with real-time embedded software and operating systems. Internship opportunities Belgium 23

26 Design of indoor networks for autonomous operations PA Type: Internship or Master thesis Duration: to be agreed with the coach The research team targets an improvement of the autonomous aspects of indoor wireless networking based on the concept of artificial intelligence. We consider aspects of control and optimization through learning of network performance and user behaviour. The complex system is composed of different sensors ranging from user equipment, access nodes and IoT devices while different networking architectures will be investigated to enable truly self-manageable indoor networking. In essence, self-manageable capabilities will allow the access nodes and IoT devices to automatically assess their ability to fulfill the network requirements and then act proactively when optimization is needed. The work will consider creating a testbed that is compliant with current wireless technologies and can be integrated with the ongoing standardizations. This shall be achieved by means of network simulators with emulation capabilities (e.g. ns-3) or open source USRPs for prototyping. The main focus of our experiments will be on defining the performance gains of a fully automated wireless network management solution (i.e. self-manageable) while reusing the existing infrastructures. Create a testbed and/or NS-3 type of simulator that allows for the creation of a network level demonstrations. You will be responsible to create a testbed and/or system level simulator that allows to create a network of autonomous nodes. The target is to have dynamic interface with capabilities to add different nodes and user mobility for indoor applications. The repositioning of the nodes and users may be automated or manual depending on the use case and requirements. Concurrently, real-time interaction and interdependencies between the developed selfmanageable architecture and other legacy or future indoor systems will be considered. Enrolled student in Computer Science or Electrical Engineering with excellent computer programming skills. Experience with USRP/LabView or GNU Radio packages. Experience in NS-3/C++/Java/JavaScript/ Matlab/HTML programming. Excellent knowledge of Wi-Fi system and network protocols is must. Level of education: PhD student. Language skills: English. 24 Internship opportunities Belgium

27 Distributed media processing PP Type: Internship or Master thesis Duration: to be agreed with the coach Nokia Bell Labs is the research organization within Nokia and is tackling the challenges of the future. One such challenge is how to manage the data explosion brought forth by trends such as camera networks and video sharing platforms, in which ever more devices are connected with the global network. These streams contain a lot of information if analyzed in a realtime way. The Real-Time Information Processing team is investigating new ways how video analytics can be distributed in a global and reliable way. The team is exploring standard image processing and neural nets to extract useful information from the streams and is looking for apprentice software engineers to help explore video analysis algorithm to extend the research prototype. As an apprentice software engineer, you will gain experience with: distributed systems research and engineering; hands-on development experience on both implementing algorithms, as well demonstrator development; deploying media applications/services in the cloud. Develop and integrate media processing algorithms in a real-time stream processing platform. Help develop, test and deploy a research prototype together with researchers from Bell Labs. You will write code, unit tests, documentation; help manage servers in the cloud on which the prototype is deployed; and help with designing and performing experiments that test the prototype setup. Enrolled student in Master in Computer Science. Knowledge of Image and Video processing: gstreamer, opencv Proficient in C and/or scripting language python. Knowledge on HW acceleration of neural network in Torch is plus. To obtain the necessary background, you will be asked to read a number of scientific papers and to report on them. Throughout the apprenticeship, you may be asked to give short presentations on your findings and progress. Internship opportunities Belgium 25

28 IDE Real-time Stream Processing PR Type: Internship or Master thesis Duration: to be agreed with the coach Nokia Bell Labs research is tackling the challenges of the future. One such challenge is how to manage the data explosion brought forth by trends such as the Internet of Things, in which ever more devices are connected with the global network. These devices generate ample amounts of data, which must be processed in a scalable and reliable manner. The Real-time Information Processing team is investigating new ways of transforming large numbers of data streams. The team is working on new stream processing frameworks and is looking for apprentice software engineers to help develop on various research prototypes and demo applications. We are looking into a development environment and management platform to create and manage these streaming applications. This management platform needs to help the developer to build streaming pipelines and guide the developer in the process where input and output streams need to be wired to instantiate the pipeline. Therefore, an understanding streaming pipelines and the development of streaming applications is needed. As an apprentice software engineer, you will gain experience with: real-time information processing; a variety of state of the art sensor technology; hands-on development experience using modern platforms (html5, node.js, Scala, ); standard software development practices such as unit testing, version control, CI; deploying and managing applications running in the cloud. Help to develop appealing applications that demonstrate the value of the team s research assets. Key Responsibilities Help develop, test and deploy a research prototype together with researchers from Bell Labs. You will write code, unit tests, documentation; help manage servers in the cloud on which the prototype is deployed; and help with designing and performing experiments that test the prototype setup. To obtain the necessary background, you may be asked to read a number of scientific papers and to report on them. Throughout the apprenticeship, you may be asked to give short presentations on your findings and progress. Enrolled student in Master in Computer Science. Good programming skills: knowledge of a few mainstream programming languages (e.g. JavaScript, Python, Java), tools like Git, experience using existing open-source projects. Knowledge of functional programming is considered a plus. Having taken courses in the domains of user interface design or web applications is considered a plus. Past experience with HTML, Javascript (AJAX, websockets, web-kit, etc), modern web-based UI frameworks (React, Flux, Redux, or similar), database systems (like Redis, MongoDB, etc.), data visualization libraries (like d3js. org, bootstrap, material-ui, or similar) is considered a plus. 26 Internship opportunities Belgium

29 Learning uncertainty sets XM Type: Internship Duration: up to 12 weeks Method-oriented networks not only abstract distribution channels (information becoming independent from its location and storage support) but also functions (the sender pushes an operation instead of a location). In this context, the objective is to model computational resource placement and assignment under uncertain requests/demands. This problem shares similarity with the multi-source multi-product (capacitated) facility location problem ((c)flp) which consists in choosing a subset of facilities (computing servers) to open and assign every client to the minimum set of open facilities to satisfy their individual demands, while ensuring that no facility is assigned to more clients than its capacity. The major difference compared to existing cflp variants is that in the present case demands correspond to the realization of a serial computational task requiring the involvement of a set of facilities (computing units) assuming that each unit can cover part of the computational demand; hence, involving the possible decomposition of the operation. In other terms, demands can be seen as requests for ordered product mix. The goal is to find a set of open facilities and an assignment that minimizes the sum of opening cost of each facility, connection cost and processing cost to customer demands; thus, obtaining the network answer as fast as possible and at least cost. Investigate the interplay between machine learning and robust optimization: As solutions to optimization problems can exhibit high sensitivity to perturbations in the problem parameters and in turn rendering infeasible or suboptimal solution, we consider modeling the optimization problem by means of the set induced robust optimization method to immunize solutions against bounded uncertainty in the parameters of the problem. This technique intrinsically depends on the features of the uncertainty sets. When considering data-driven statistical methods, the key question becomes how to perform inference tasks (density estimation and hypothesis test) from samples and when considering model-driven methods how to produce and select an hypothesis which best explains the data. In both cases, the goal is to minimize the difference between the solution obtained using the true distribution vs. estimated/modeled distribution. Key Responsibilities The tasks to be performed are directly linked to the objectives listed in the mission, assuming that the formulation of the optimization problem as well as its robust counterpart are available: Design/exploit machine learning algorithms to learn uncertainty sets under various assumptions (endogenous vs. exogenous uncertainty, data-driven/ non-parametric vs. distributional/parametric models). Formulate and solve (numerical execution) the corresponding mathematical program. Compare uncertainty set construction/design methods. Enrolled student in Master of Computer Science or Applied Mathematics and/or Operational Research. Studies orientation on optimization (combinatorial, continuous, robust), machine learning algorithmic. Experience with solvers (CPLEX, COIN-OR, etc.), machine learning toolbox/libraries (shogun, weka, etc.). Internship opportunities Belgium 27

30 Low-latency video streaming app for controlling a toy race car VG Type: Internship Duration: up to 12 weeks At Nokia Bell Labs, we are solving network issues of tomorrow. Video consumption is drastically changing. There was a time that it was one-way traffic only, today it can be two-way communication and soon it will include new interactive components, for instance when you are remotely controlling a device using visual feedback. This feedback needs to come at zero latency not to crash into anything, but you know that when the network is bad, any video link would stall. We are trying to fix that by creating a more flexible, random access representation of that video feed. This representation can better cope with bandwidth fluctuations and packet losses during transmission. Your objective would be to showcase this new video representation format by creating a fun demonstrator. Imagine for instance that we want to race a toy car through an obstacle course at a remote location. On the race car, we mount a smartphone with a camera sending visual feedback. Can you ensure that the car can still be driven (safely) under very adverse network conditions? Learn about the new video representation format. Port our video format encoder to a mobile device, likely Android. Explore hardware acceleration on the mobile s GPU, using OpenCL or CUDA. Think about altering algorithms to meet hardware specifications of mobile devices. Integrate the video link between the mobile device on the race car and the remote controlling device. Start racing! Depending on your skills, interests and pace: Research stretch: explore alternative tracks for the video representation format. Engineering stretch: explore other use cases, such as video communication. Possible shortcut: showcase the representation format on the device without actual transmission, emulating bad network conditions.. The tasks to be performed are directly linked to the objectives listed here above assuming that the formulation of the optimization problem as well as its robust counterpart are available: Design/exploit machine learning algorithms to learn uncertainty sets under various assumptions (endogenous vs. exogenous uncertainty, data-driven/ non-parametric vs. distributional/parametric models). Formulate and solve (numerical execution) the corresponding mathematical program. (Compare uncertainty set construction/design methods. Enrolled student in Master of Engineering, Computer Science. Android programming skills. Knowledge of OpenCL or CUDA is a plus. During the internship, the student will come in contact with several aspects of working in a research environment such as Nokia Bell Labs: Creative working environment with open atmosphere to facilitate discussion and interaction with other Nokia Bell Labs researchers in various domains. State-of-the-art computing and visualization equipment. Flexibility to experiment and explore your ideas. 28 Internship opportunities Belgium

31 M2M Stream Processing PS Type: Internship or Master thesis Duration: up to 12 weeks Nokia Bell Labs is the research organization within Nokia and is tackling the challenges of the future. One such challenge is how to manage the data explosion brought forth by trends such as machine-to-machine, in which ever more devices are connected with the global network. One application domain is smart energy grids and the rise of electrical cars. Charging electrical cars and the fact of the mobility of cars (so they can be charged anywhere) is a real challenge on the energy grid. The Real-Time Information Processing team is investigating new ways how smart energy grid applications can be expressed and deployed in a scalable and reliable way. The team is exploring how data analysis and formal expressed knowledge of the application domain can help to model and predict the load and resource allocation of large distributed event processing graphs and is looking for apprentice software engineers to help develop a research prototype. As an apprentice software engineer, you will gain experience with: distributed systems research and engineering; hands-on development experience on both implementing algorithms, as well demonstrator development; deploying applications/services in the cloud; learn to use energy grid simulations to evaluate the accuracy of the models. Help to develop and maintain a M2M prototype research framework in the context of smart energy grids. Help develop, test and deploy a research prototype together with researchers from Bell Labs. You will write code, unit tests, documentation; help manage servers in the cloud on which the prototype is deployed; and help with designing and performing experiments that test the prototype setup. Enrolled student in Master in Computer Science. Knowledge of programming distributed systems: Storm, Kafka, 0mq, Proficient in C/C++ and/or scripting language (python, node.js). Desirable: knowledge on machine learning, optimization algorithms, data analytics. To obtain the necessary background, you will be asked to read a number of scientific papers and to report on them. Throughout the apprenticeship, you may be asked to give short presentations on your findings and progress. Internship opportunities Belgium 29

32 Multi-host network emulator with Docker VI Type: Internship Duration: up to 12 weeks As an engineer, you like to know how your application behaves under varying network conditions. Network emulators allow you to just do that, without the need for a large or expensive physical testbed. Today, several network emulators are out there: ns-3, mininet, etc. There s a learning curve for each of them and some even require programming skills. Inside Nokia Bell Labs, we have developed our own light-weight emulator, with easy testing and visualisation of containerised applications as its primary focus. It consists of a web application (vue.js) and a controller backend (node.js). The web application allows you to create networks from scratch or load a previously created one from a JSON description. All nodes are Docker containers and the parameters of the links between them can be changed on the fly distributed systems research and engineering hands-on development experience on both implementing algorithms, as well demonstrator development. Deploying applications/services in the cloud learn to use energy grid simulations to evaluate the accuracy of the models. Our network emulator works on a single host. This is fine for many setups, but for larger emulations, we need a multi-host setup. Docker has recently included features to support that (swarmkit). Your role will be to extend the controller app to support multi-host and let it control multiple physical or virtual machines that run docker in swarm mode. The networking code has to be changed so that overlay networking is used when containers run on different hosts. The web application has to be updated as well, so that nodes can be added or removed. Extend the node.js controller app and the single page web application. Update the JSON description to support multihost, while staying backwards compatible. Create demonstrator. Enrolled student in Master of Engineering, Computer Science. Experienced in javascript and HTML5. Basic knowledge of networking. Healthy interest in Docker. 30 Internship opportunities Belgium

33 Real-time Dataflow visualization PO Type: Internship or Master thesis Duration: to be agreed with the coach Our Nokia Bell Labs organization has an opportunity for a student to join the Real-Time Information Processing team in Antwerp (Belgium) for an Internship or Master Thesis in the area of stream processing and visualization Nokia Bell Labs is the research organization within Nokia and is tackling the challenges of the future. One such challenge is how to manage the data explosion brought forth by trends such as Internet-of-Things, in which ever more devices are connected with the global network. The Real-Time Information Processing team is investigating new ways how real-time data flows can be expressed and deployed in a globally distributed and reliable way. The deployed data flows are graphically visualized in real-time to give the programmer a quick insight how his/her dataflow is actually behaving. The same visualization is used by the operator of the platform to understand the behaviour of the running services. The team is looking for an apprentice software engineer to further develop these graph visualizations to give the data flow programmer visual debugging support. As an apprentice software engineer, you will gain experience with: distributed systems research and engineering; Hands-on development of graph visualization; Writing event driven applications. Develop a prototype to provide visual debugging support for distributed dataflow applications. Help develop, test and deploy a research prototype together with researchers from Bell Labs. You will write code, unit tests, documentation; help manage servers in the cloud on which the prototype is deployed; and help with designing and performing experiments that test the prototype setup. Enrolled student in Master in Computer Science. Proficient in C/C++ and/or scripting language (python, node.js). Desirable: knowledge on HTML5, d3.js and SVG. Knowledge of programming distributed systems: Mesos, marathon, Docker, is a plus. To obtain the necessary background, you will be asked to read a number of scientific papers and to report on them. Throughout the apprenticeship, you may be asked to give short presentations on your findings and progress. Internship opportunities Belgium 31

34 Real-time interactive Web application for Internet of Things PX Type: Internship or Master thesis Duration: to be agreed with the coach Nokia Bell Labs research is tackling the challenges of the future. One such challenge is how to manage the data explosion brought forth by trends such as the Internet of Things, in which ever more devices are connected with the global network. These devices generate ample amounts of data, which must be processed in a scalable and reliable manner. The Real-time Information Processing team is investigating new ways of transforming large numbers of data streams. The team is working on new stream processing frameworks and is looking for apprentice software engineers to help develop on various research prototypes and demo applications. Often, the user-interface of these applications is challenging because (a) it needs to update and adapt in real-time and (b) the amount of data to visualize is large. As an apprentice software engineer, you will gain experience with: real-time information processing a variety of state of the art sensor technology hands-on development experience using modern platforms (html5, node.js, Scala, ) standard software development practices such as unit testing, version control, CI deploying and managing applications running in the cloud. Help to develop appealing applications that demonstrate the value of the team s research assets. Help develop, test and deploy a research prototype together with researchers from Bell Labs. You will write code, unit tests, documentation; help manage servers in the cloud on which the prototype is deployed; and help with designing and performing experiments that test the prototype setup. To obtain the necessary background, you may be asked to read a number of scientific papers and to report on them. Throughout the apprenticeship, you may be asked to give short presentations on your findings and progress. Enrolled student in Master in Computer Science. Good programming skills: knowledge of a few mainstream programming languages (e.g. JavaScript, Python, Java, C), tools like Git, experience using existing open-source projects. Having taken courses in the domains of distributed systems, embedded software, machine learning is considered a plus. Past experience with the SDK of sensors (on smartphone, smartwatch, or dedicated sensors) is considered a plus. Basic network knowledge: TCP/UDP, HTTPproxy, WiFi, (low energy) bluethooth. 32 Internship opportunities Belgium

35 Real-time Sensor Stream Processing PY Type: Internship or Master thesis Duration: to be agreed with the coach Nokia Bell Labs research is tackling the challenges of the future. One such challenge is how to manage the data explosion brought forth by trends such as the Internet of Things, in which ever more devices are connected with the global network. These devices generate ample amounts of data, which must be processed in a scalable and reliable manner. The Real-time Information Processing team is investigating new ways of transforming large numbers of data streams. The team is working on new stream processing frameworks and is looking for apprentice software engineers to help develop on various research prototypes and demo applications. To create next-generation IoT application we start from raw sensor data, correlate these to create higher level information streams. This requires understanding the API and semantics from the sensor devices as well as to cope with their limitations, such as battery, limited CPU, memory and networking capabilities. As an apprentice software engineer, you will gain experience with: real-time information processing; a variety of state of the art sensor technology; hands-on development experience using modern platforms (html5, node.js, Scala, ); standard software development practices such as unit testing, version control, CI; deploying and managing applications running in the cloud. Help develop appealing applications that demonstrate the value of the team s research assets. Help develop, test and deploy a research prototype together with researchers from Bell Labs. You will write code, unit tests, documentation; help manage servers in the cloud on which the prototype is deployed; and help with designing and performing experiments that test the prototype setup. Enrolled student in Master in Computer Science. Knowledge of programming distributed systems: Storm, Kafka, 0mq, Proficient in C/C++ and/or scripting language (python, node.js). Desirable: knowledge on machine learning, optimization algorithms, data analytics. To obtain the necessary background, you may be asked to read a number of scientific papers and to report on them. Throughout the apprenticeship, you may be asked to give short presentations on your findings and progress. Internship opportunities Belgium 33

36 Real-time Streaming Data Network Application Q0 Type: Internship or Master thesis Duration: to be agreed with the coach Nokia Bell Labs has an opportunity for a student to join our Real Time Information Processing team for an Internship or Master Thesis in the area of real-time stream processing. Nokia Bell Labs research is tackling the challenges of the future. One such challenge is how to manage the data explosion brought forth by trends such as the Internet of Things, in which ever more devices are connected with the global network. These devices generate ample amounts of data, which must be processed in a scalable and reliable manner. The Real-time Information Processing team is investigating new ways of transforming large numbers of data streams. The team is working on new stream processing frameworks and is looking for apprentice software engineers to help develop on various research prototypes and demo applications. The distributed nature of such application create challenges at software authoring, software deployment and software maintenance. As an apprentice software engineer, you will gain experience with: real-time information processing; a variety of state-of-the-art sensor technology; hands-on development experience using modern platforms (html5, node.js, Scala, ); standard software development practices such as unit testing, version control, CI; deploying and managing applications running in the cloud. Help develop appealing applications that demonstrate the value of the team s research assets. Help develop, test and deploy a research prototype together with researchers from Nokia Bell Labs. You will write code, unit tests, documentation; help manage servers in the cloud on which the prototype is deployed; and help with designing and performing experiments that test the prototype setup. To obtain the necessary background, you may be asked to read a number of scientific papers and to report on them. Throughout the apprenticeship, you may be asked to give short presentations on your findings and progress. Enrolled student in Master in Computer Science. Good programming skills: knowledge of a few mainstream programming languages (e.g. JavaScript, Python, Java), tools like Git, experience using existing open-source projects. Knowledge of functional programming is considered a plus. Having taken courses in the domains of distributed systems, databases, OS virtualization (e.g. Docker containers) is considered a plus. Knowledge of inter-process data communication technology: message bus, RabbitMQ, web sockets, etc is considered a plus. Basic network knowledge: TCP/UDP, DNS, HTTP-proxy, IP routing tables. 34 Internship opportunities Belgium

37 Ultra-HD 360 Video Saliency Analysis for VR Streaming VK Type: Internship Duration: 6 months (renewable) Streamed 360 Video and Virtual Reality (VR) are becoming more and more popular for many applications ranging from entertainment, gaming, broadcasting, video surveillance to user generated content. A good example of high quality 360 capture systems is the Nokia OZO camera that records 360 video, which can be transmitted live at 4K resolution. Using VR goggles, the user can watch this type of content as if he/she was there, as the video viewpoint is instantly moving in sync with the tracked or sensed head motion in the 360 captured content. There are still challenges related to consuming this type of immersive video content. One of the most important ones is to be able to assist the user in watching that content by hinting what viewpoints are the most interesting and to maximize video quality where it matters. In order to achieve this, we propose for this internship to evaluate the visual saliency of 360 video frames, for example (but not limited to) motion content, the presence of special textures or objects and faces. The intern will implement selected saliency analysis tools using open source computer vision libraries on Ultra High Definition (UHD) 360 Video content. The objective is to find the best trade-offs between analysis accuracy and real-time performance. Optionally, the code will be ported using OpenCL or CUDA on GPU. The topic will be adapted to the number of accepted students. Learn and experiment with our internal 4K 360 video VR streaming prototype. Investigate real-time saliency evaluation and object detection techniques available in OpenCV or other opensource libraries including deep learning techniques. Implement a visualization of this saliency and objects as an overlay on the streamed VR video. Assess accuracy vs. speed trade-offs in the selected computer vision tools. Implementation in C/C++ of a proof of concept, connected to our existing prototype. Efficient reporting of the tests, progress and difficulties in the process. Student in last year of Master of Engineering Electricity, Electronics or Computer Science or Ph.D. student in Engineering Electricity, Electronics or Computer Science. Experience in C/C++ is a must. Experience with Computer Vision is a plus. The topic can be adapted in case several students are selected and also involve hardware acceleration with OpenCL. The intern will work within the Nokia Bell Labs Novel Media Coding team. Internship opportunities Belgium 35

38 Stochastic Optimization XQ Type: Internship Duration: 6 months (renewable) In multi-stage stochastic programming (MSSP), the uncertainty in parameters, e.g. demands, yields, defining a decision problem are represented by probability distributions. The term multistage refers to the ability to make decisions at multiple stages, and thus reflecting the dynamic nature of the problem. The interactions between the stochastic and decisions processes are modelled so that the decision-maker can take corrective decisions (recourse) and actions as uncertainty is revealed sequentially over multiple stages (time periods). Compared to exogenous uncertainty where decisions cannot influence the stochastic process, in case of endogenous uncertainty, the stochastic process depends on the decisions that can alter it by either changing the probability distribution or resolving the uncertainty partially (or even fully). Recently, the problem of finding optimal decisions with gradual reduction of uncertainty in the yields has been formulated as a decision-dependent MSSP where action (e.g. investment) plans reduce uncertainty and time-varying distributions describe uncertainty. Stochastic programming applied to information networks: assume that individual entities composing a distributed information system are modelled as information processing agents performing a joint task, e.g., serve external timevarying uncertain demands. Each agent performs at each time period, multi-modal capacity allocation decision (note: capacities remain finite) together with its routing decision following various coordination/consensus processes that reduce the randomness in agents predictions and decisions; the objectives are to design, develop and evaluate: Decomposition methods for stochastic programs (applicable to distributed routing under uncertainty). Distributed decomposition methods for stochastic programs (applicable to distributed routing under uncertainty). Investigate performance tradeoffs under different state visibility mode (full state visibility, partial state visibility). The tasks to be performed are directly linked to the objectives listed here above and include: Formulate the corresponding multi-stage stochastic programming (MSSP) model, demonstrate and validate its properties. Extend the multi-stage stochastic programs to multiagent/distributed routing decision processes with uncertain demands; for this purpose, decomposition methods are considered as the technique of choice in order to enable combining both decision processes (routing and resource allocation). Enrolled student in Master or PhD in Applied Mathematics, Optimization, Math. Programming. Application (numerical execution) for information routing under various uncertainty assumptions (endogeneous uncertainty, exogeneous uncertainty, mixture). Experience in stochastic programming and optimization (including decomposition techniques). Experience in stochastic programming solvers and modeling tools. Capability to work independently. Abstract reasoning. Analytic and Synthetic skills. 36 Internship opportunities Belgium

39 Machine Learning XP Type: Internship Duration: 6 months (renewable) Bringing together graph theory and probability theory, probabilistic graphical models provide a unifying formalism for capturing the complex dependencies among random variables, and building large-scale multivariate statistical models. As part of this broad class of models, undirected graphical models such as Markov Networks represent a joint probability distribution as a graph whose undirected edges express the (symmetric) dependency between random variables represented by the vertices of the graph. These models find a wide applicability nowadays well beyond image processing. However, the structure of the Markov network (Markov Random Field or MRF) is constructed manually. The main reason stems form the complexity and lack of effective algorithms for learning the structure of Markov networks from input data. Consequently, MRF are more typically used when the domain structure is known in advance, so that the learning task often limit to its parameters (weights). In this respect the challenge consists to provide a computationally efficient method for learning Markov network structure from data. Discovery of Markov Random Field structure: The goal of Markov random field structure learning is to discover regions of high probability in instance space, form features to represent them, and learn the corresponding weights. More precisely, learning the underlying graph structure of a Markov random field refers to the problem of determining if there is an edge between each pair of nodes, given i.i.d. samples drawn from the joint distribution of the vector of random variables X. The conventional techniques for learning Markov random fields structure learning correspond to two different interpretations of a graphical model. On the one hand, to learn the underlying graph, the parameter estimation techniques exploit the conditional independence interpretation of a graphical model which lead to a factorization of the joint probability function according to the cliques of the graph. These techniques are tailored for a specific parametric form of the probability distribution by assuming a certain form of the potential function; thereby they relate the structure learning problem to one of finding a sparse maximum likelihood estimator of a distribution from its samples. When a parametric family is known, the (log-)likelihood of the data is written as a function (often convex) of the parameters of the distribution; this likelihood is then maximized with added regularizers to find these parameters. On the other hand, methods based on learning conditional independence relations between the variables rely on the notion that a node s Markov blanket, i.e. its neighborhood in the graphical model, makes a node conditionally independent of other nodes. These methods are potential agnostic, i.e., to learn the graph structure they do not rely on the knowledge of the underlying parametrization or make assumptions on the parametrization of the distribution. Instead, they involve an exhaustive search over all potential neighborhoods of a node which results in a high computational complexity for the algorithms which need some assumption on the properties of the underlying distribution and graph structure (such as the maximum node degree) in order to succeed. Hence, search strategies are often based on heuristics including greedy search strategies, e.g., greedy hill-climbing, greedily adding nodes that give the highest reduction in conditional entropy. The recent characterization of Markov Random Fields (generalized of Markov chains) as hypergraph (generalization of graphs) has opened a different perspective from an algorithmic point of view. Combination with multilevel coarsening (clustering) of hyperedges while retaining as much as much possible the structural properties of the original hypergraph offers for instance an interesting direction compared to the principles underlying conventional methods. The tasks to be performed are directly linked to the objectives listed here above and include: Document the most recent advances in conventional MRF structure learning methods. Selection of subset of conventional techniques (based on pre-defined criteria and metrics). Comparative evaluation of the selected methods with the hypergraph-based method (by simulation). Enrolled student in Master or PhD in Applied Mathematics, Computer Science (orientation AI, machine learning), Statistics. Experience in Math. Programming (matlab, octave, R). Experience in using machine learning toolboxes (e.g., weka, shogun) is a plus. Capability to work independently. Abstract reasoning. Analytic and synthetic skills. Internship opportunities Belgium 37

40 Mobile Networks 38 Internship opportunities Belgium

41 The Energy Solutions team in Belgium is part of the international Network Implementation organization of Nokia Mobile Networks. We are a specialized team working on large scale goals for energy solutions in Mobile industry. Creating miracles may be out of our reach, but adopting a holistic approach to the global energy requirements will certainly help address the needs of the mobile industry in a much better way. Even though most of the mobile operators have a global footprint, yet they perpetually encounter local challenges associated with energy. Issues like energy losses, lack of commercial grids or poor quality grid supply force them to incur incremental costs in terms of both the utility grid and the operational expenditure of mobile sites in general. With the passage of time, consumer awareness on CO2 emissions and its environmental impact has also gone up. Mobile operators are aligning their policies in order to ensure that they lower their Network operational expenditure to a minimum. At the same time, they promote green initiatives, as well as directing their Corporate and Social responsibility campaigns to address environmental objectives with regard to both regulatory needs and end-customer expectations. No longer considered as a nice-to-have policy, environmental compliance & cost awareness is steadily becoming an integral part of a company s strategy! Our Energy Portfolio Managers and Energy Product Managers develop products and solutions that power our customers to meet their targets. The Nokia Energy Solutions Portfolio is a unique and exclusive portfolio, based upon own products, innovative solutions and groundbreaking technology that makes Nokia a pioneer in the Mobile energy industry. Energy Solutions Consultant Internship H0 Type: Internship Duration: 6 months Your study will focus on the deployment guidelines applicable for the installation of an Energy Solution on a Mobile Network site in the field. The outcome of the study is a pack of documents that explains how subcontractors should make the implementation in the field. The purpose of the pack is the interoperability between the different products used to be become a complete e2e solution. Creating the general solution implementation diagrams for the e2e solution. Creating the detailed product implementation diagram. Writing the solution implementation guidelines. Creating the solution parameters and defined alarms. Creating the solution acceptance procedure. Creating the solution troubleshoot guide. Optional: Supporting the creation of materials sales item descriptions. Optional: Supporting the creation of service sales item descriptions. Enrolled student in Master of Electrical Engineering, Computer Science or relevant area. Excellent Electromechanical skills. Excellent Team Player. Excellent Communication skills in English (oral & written). Excellent Interpersonal skills. MS office skills at basic level (Excel, PowerPoint, Word). Openness to new situation and changes. Good presentation skills and eagerness to learn. To apply for this internship, please contact mariavittoria.pesce@nokia.com. Internship opportunities Belgium 39

42 Motive 40 Internship opportunities Belgium