Job offer

The University of Groningen is seeking a highly motivated PhD candidate to join the international QuNeCo project, a collaborative research initiative between leading universities in the Netherlands and Japan. As part of an interdisciplinary team, you will develop novel neuromorphic computing architectures inspired by the human brain to enable future heterogeneous computing systems with unprecedented energy efficiency and performance.

This PhD position offers the opportunity to collaborate with internationally renowned researchers, publish in leading conferences and journals, and gain experience in architecture design, hardware implementation, FPGA prototyping, and AI applications.

What are you going to do?

As a PhD candidate, you will contribute to the design and development of next-generation neuromorphic computing systems through algorithm-hardware co-design and computing-in-memory technologies. Your research will span the complete hardware design flow, from architectural exploration to hardware prototyping and experimental evaluation.

Your responsibilities include:

• Designing novel neuromorphic computing architectures based on application requirements and heterogeneous computing use cases.
• Investigating emerging memory technologies, including SRAM, RRAM, MRAM, and FeRAM, for efficient neuromorphic hardware implementations.
• Developing RTL implementations of neuromorphic architectures using hardware description languages and validating their functionality through simulation.
• Evaluating performance, energy efficiency, and scalability using industry-standard electronic design automation (EDA) tools.
• Developing representative AI and neuromorphic applications to demonstrate the proposed architectures.
• Prototyping hardware accelerators on FPGA platforms and integrating them into heterogeneous computing systems.
• Performing comprehensive experimental evaluations and publishing research findings in leading international conferences and journals.
• Collaborating closely with project partners in the Netherlands and Japan and participating in international project meetings, workshops, and research visits.
• Contributing to teaching activities and supervising Bachelor’s and Master’s students where appropriate.

Are you excited about designing the next generation of energy-efficient AI hardware? Do you want to contribute to cutting-edge research at the intersection of neuromorphic computing, computer architecture, and hardware acceleration?, We are looking for an enthusiastic researcher who enjoys solving challenging problems and working in an international research environment., * A Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, Embedded Systems, or a closely related field.

• A strong background in computer architecture and digital hardware design.
• Experience with hardware description languages such as Verilog, SystemVerilog, or VHDL.
• Familiarity with FPGA development or RTL design methodologies.
• Knowledge of computer architecture, hardware accelerators, AI hardware, or neuromorphic computing.
• Programming experience in Python and/or C/C++.
• Experience with EDA tools (e.g., Cadence, Synopsys, Vivado) is considered an advantage.
• Interest in emerging memory technologies and computing-in-memory architectures is desirable.
• Excellent English communication skills, both written and spoken.
• Strong analytical abilities, creativity, and the motivation to conduct independent research while collaborating within an international team.

What can you expect from us?

• 232 vacation hours per year, based on a 38-hour workweek (1.0 FTE). You can also work more or fewer hours in exchange for more or fewer free hours. For example, with a 40-hour workweek, you save 96 extra free hours, and with a 36-hour workweek, you lose 96 hours.
• End-of-year bonus of 8.3% and 8% holiday allowance.
• Extensive opportunities for personal and professional development.

Selection process

Interested?

Does this vacancy appeal to you? If so, click on the button below and apply straightaway. Please add the following documents to your application:

• Motivation letter (maximum 2 pages).
• Curriculum Vitae.
• Academic transcripts (BSc and MSc).
• Contact details of two academic referencesCopy of MSc thesis (or a representative publication, if available).