Grace Li Zhang

🚀 TU Darmstadt is advertising a PhD opportunity in energy-efficient AI hardware within the Hardware for Artificial Intelligence research group led by Prof. Dr.-Ing. Grace Li Zhang at the Department of Electrical Engineering and Information Technology. The position is for a Research Associate / PhD Candidate (all genders) focused on high-performance, low-power digital hardware accelerators for AI . Research directions mentioned include FPGA-based hardware accelerators , voltage scaling for energy-efficient AI hardware , hardware-oriented and hardware-aware AI algorithms , and high-performance digital architectures for modern AI applications. This opportunity sits at the intersection of Electrical Engineering and Computer Science , with strong relevance to AI hardware , digital logic , hardware design , FPGA , VHDL/Verilog , and AI algorithms including large language models. Eligibility highlights: applicants should hold a Master’s degree or equivalent in Electrical Engineering, Computer Science, Computer Engineering, or a related field. The post seeks candidates with strong hardware design and digital logic skills, experience in C , Python , and VHDL/Verilog , plus interest in interdisciplinary research. Funding details: the role is a salaried full-time position under E13 TV TU Darmstadt and comes with a three-year contract and the opportunity to pursue a doctoral degree. The post also mentions a collaborative research environment, access to current technologies, professional-development opportunities, flexible working arrangements, and the LandesTicket Hessen for regional public transport. Location: Darmstadt, Germany . Application deadline: 27 September 2026 . Interested candidates should apply through the provided application link and may contact Prof. Dr.-Ing. Grace Li Zhang by email for questions.