2 PhDs on Modulation & Coding for Ultra-High-Speed Fiber Optical Communications

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2 PhDs on Modulation & Coding for Ultra-High-Speed Fiber Optical Communications

Deadline Published on Vacancy ID V36.6913

Academic fields

Engineering

Job types

PhD

Education level

University graduate

Weekly hours

38 hours per week

Location

De Rondom 70, 5612 AP, Eindhoven

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Job description

Are you fascinated by the massive data center infrastructure required to make artificial intelligence (AI) happen? Join us on this research project in collaboration with Marvell Technology Inc. (Santa Clara, CA, USA) to develop the next generation of low-latency and high-throughput optical interconnects driven by AI applications.

Job Description

In today's rapidly evolving technological landscape, artificial intelligence (AI) stands as a cornerstone of innovation, transforming industries, and shaping the way we interact with the digital world. As AI continues to advance, the demand for lightning-fast and ultra-low-latency data processing and communication within datacenters has never been more critical. The Eindhoven University of Technology recognizes the pivotal role of AI and the urgency for ultra-high-speed fiber optical communications to support AI applications. To address this challenge, we are excited to announce 2 Ph.D. positions in the field of Modulation and Coding for Ultra-High-Speed Fiber Optical Communications.

These two positions are part of a collaborative research project with Marvell Technology Inc., a leading technology company, and two research groups at TU/e: the Signal Processing Systems (SPS) and the Electronic Systems (ES) group. The research in this project will be performed in close cooperation between Marvell and these two research groups. Successful candidates will work on cutting-edge research to develop novel  advanced modulation and coding techniques for ultra-high-speed fiber optical communication systems with a focus on short links (below 200 meters) driven by AI applications. This project offers a unique opportunity to work closely with Marvell, a global leader in semiconductor solutions for data infrastructure. Collaborating with Marvell engineers and researchers, you will have access to state-of-the-art technology and resources, as well as the chance to contribute to real-world industry applications and to perform research internships abroad.

Requirements

  • A Master's degree in Electrical Engineering, Computer Science, or a related field.
  • Strong background in digital signal processing, communication theory, and coding theory.
  • Proficiency in programming languages such as MATLAB, Python, or C/C++.
  • A research-oriented attitude.
  • Ability to work in a collaborative interdisciplinary team and interested in collaborating with industry.
  • Motivated to develop your teaching skills and coach students.
  • Fluent in spoken and written English (C1 level).
  • (Optional) Some experience in RTL design and FPGA prototyping using VHDL/Verilog and/or HLS tools.

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Working at TU/e

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