Ongeveer 21 uur geleden - Technische Universiteit Delft (TUD) - Delft
PhD student on Error-Correction Coding
PhD student on Error-Correction Coding for Ultra-Reliable Low-Latency Communications SystemsThe Electronic Systems (ES) group within the Department of …
- de Rondom, Eindhoven, Noord-Brabant
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 uur
FunctieomschrijvingPhD student on Error-Correction Coding for Ultra-Reliable Low-Latency Communications Systems
The Electronic Systems (ES) group within the Department of Electrical Engineering of Eindhoven University of Technology (TU/e) seeks to hire an outstanding PhD candidate within the field of the implementation of channel coding for next-generation communications systems.
Motivated by Shannon's channel coding theorem, error-correction coding has become an integral part of all modern communications systems and standards that have enabled the information revolution of the past decades. Recently, there has been a growing interest in mission-critical applications that have extremely stringent reliability and latency constraints, such as autonomous driving, industrial automation, and remote robotic surgeries. The systems used in these applications are referred to as ultra-reliable low-latency communications (URLLC) systems in the context of the newly-introduced 5G communications standard. The most common way to enable ultra-low-latency communications is to use very short data packets that are only, e.g., 64 or 128 bits long. Unfortunately, modern error-correcting codes are typically designed for (and are hence most effective for) long data packets. For this reason, the design of error-correcting codes and corresponding decoding algorithms that specifically target short packets is a research topic that is garnering significant attention.
For example, the short packets that are used in URLLC systems enable the use of novel and exotic decoding algorithms with very strong reliability guarantees that would otherwise be infeasible in terms of their implementation complexity. The efficient hardware implementation of these decoding algorithms as well as their adaptation to specific classes of error-correcting codes is an important open research direction. Moreover, the design of optimal (semi-)random error-correcting codes and decoders using non-linear optimization or machine learning techniques also becomes feasible when using short packets.
The general focus of this project is on the design of error-correction coding schemes, decoding algorithms, and hardware architectures for URLLC systems. The successful candidate for this PhD position will have significant freedom (and will receive the appropriate guidance) to shape the exact research agenda of the project.
Eindhoven (TU/e) is a mid-size technical university located in the heart of the high-tech industry in the Netherlands, named the Brainport region. Eindhoven is the fifth largest city in the Netherlands, and including suburbs it has about 420,000 inhabitants. TU/e is a highly ranked university both in research and education. Our training and research programs are highly regarded and we foster close relationships with companies, organizations and research institutes in the Brainport region and beyond. Fundamental and applied research are equally valued here. The high rank of the TU/e is due to the impact of its scientific research and also to its scientific copublications with industry. TU/e is a social and inspiring university with a fine culture. You will quickly feel at home, surrounded by people who share your scientific ambitions. The TU/e currently has nine departments, with over 11,000 students in total.
Department of Electrical Engineering
The Department of Electrical Engineering teaches highly motivated Masters of Science, designers and doctoral candidates, and carries out breakthrough research in its field. The department has three spearheads: Connected World, Care and Cure, and Smart Sustainable Systems. These themes are reflected in the department nine teaching chairs.
With almost 100 (assistant, associate and full) professors, over 200 PhD and PDEng students, about 800 Bachelor students and 300 Master students, the Department of Electrical Engineering (EE) is one of the largest departments of the TU/e. By performing top-level fundamental and applied research, offering high-quality educational programs, and maintaining strong ties with industry, EE aims to contribute to science and to innovation in and beyond the region. EE currently offers a Bachelor and Master program in Electrical Engineering and participates in several multi-disciplinary masters, such as Systems and Control, Automotive Technology and Sustainable Energy Technology, all taught fully in English. See here for more information about the department.
The department's relationship with the high-tech industry in the Brainport region means that staff and students can contribute directly to the development of technological innovations with real-world relevance. The unique positioning in one of Europe's leading tech regions also means excellent job opportunities for spouses.
Electronic Systems group at the TU/e
The Electronic Systems group is one of the 9 research/teaching chairs within the faculty of Electrical Engineering and consists of seven full professors, ten assistant professors, several postdocs, about 40 PDEng and PhD candidates, and support staff. The ES group is world-renowned for its design automation and embedded signal processing systems research. It is our ambition to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber-physical systems. ES research is organized in three subprograms that cover the engineering, system and circuit perspectives: Model-driven engineering, smart electronic systems, and digital nano-electronics. ES has strong collaborations with industry, research institutes and other universities. Thirteen of its staff members have a second affiliation besides their TU/e-ES affiliation. The group is a multi-cultural team, with staff members of eleven different nationalities and students from all over the world.
We are looking for candidates that match the following profile:
- A master's degree (or equivalent) in Electrical Engineering or related disciplines
- Good knowledge of communications systems and, in particular, error-correcting codes.
- Good knowledge of hardware design on an RTL level (e.g., VHDL or Verilog).
- General working knowledge of programming (e.g., MATLAB, Python).
- Familiarity with ASIC design (e.g., synthesis, place and route) would be beneficial.
- Familiarity with machine learning techniques and tools would be beneficial.
- Good communication and organization skills, ability to work in a team, positive and proactive problem-solving attitude.
- Excellent English language skills (writing and presenting).
ConditionsWe offer a fixed-term 4 year challenging position for 4 years in a dynamic and ambitious university and a stimulating research environment. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, including:
- A gross monthly salary between € 2325,- (first year) and € 2972,- (last year)
- Additionally, 8% holiday allowance and 8.3% end-of-year allowance
- A minimum of 41 holidays per year (excluding bank holidays, for a full-time employment of 40 hrs/week).
- Additional benefits, including excellent technical infrastructure, child care, holiday savings schemes, and excellent sports facilities
- Assistance for finding accommodation is offered.
- Personal development program aimed to develop your social and communications skills
(see: http://www.tue.nl/PROOF3TU ).
- For more information about the advertised position and any informal enquiries, please contact: Dr. A. Balatsoukas-Stimming (a.k.balatsoukas.stimming[at]tue.nl).
- For more information on working at the TU/e and employment conditions, see
https://www.tue.nl/universiteit/werken-bij-de-tue/ or contact Mrs. Tanja van Waterschoot, HR (t.a.m.v.waterschoot[at]tue.nl)
If interested, please use 'apply now'-button at the top of this page. You should upload the following:
- A cover letter explaining your motivation and suitability for the position;
- A detailed Curriculum Vitae (including a list of publications and key achievements in research project(s));
- A written scientific report in English (MSc thesis, traineeship report or scientific paper);
- Contact information of two references;
- Copies of diplomas with course grades (transcripts).
Candidates will be selected based on graduation mark and proficiency at university including consideration of the reputation of the university, relevant experience and skills, writing skills and publications, work experience, as well as performance in relevant modeling exercises and interviews.
Please keep in mind; you can upload only 5 documents up to 2 MB each.