Open PhD Positions

Department of Electrical Engineering and Information Technology at the Institute of Computer Engineering – Hardware for Artificial Intelligence Group (https://www.hwai.tu-darmstadt.de/) is seeking candidates for three positions, with immediate start dates available.

  • Open PhD Position for Uncovering Logic Reasoning of Neural Networks from Hardware Perspective
  • Open PhD Position for Hybrid Hardware for Analog In-Memory-Computing and Digital Designs for AI
  • Open PhD Position for High-Performance and Low-Power Digital Hardware Accelerators for AI

Open PhD Position for Uncovering Logic Reasoning of Neural Networks from Hardware Perspective

Expected starting date: Feb 01, 2026 – Jan 31, 2029
Duration: 3 years with a possible extension
Tasks:
  • This new PhD position aims to explore logic reasoning of AI algorithms, e.g., neural networks. Concrete topics of this position can include but not limited to:
    • Conversion of neural networks into logic circuits.
    • Extraction of the high-level expressions of neural networks from their low-level circuits.
    • Exploration of high-level expressions of neural networks to analyze properties of neural networks, e.g., reliability and fairness.
  • Appropriate participation in administrative tasks, in teaching courses, and in supervising student work is expected.

Requirements:
  • A completed master degree in electrical engineering, computer science or other related disciplines
  • The final grade should not be worse than “Good”
  • Detailed knowledge of digital designs, and proficiency in C, Python, VHDL/Verilog programming languages
  • A good understanding of AI algorithms, e.g., neural networks, or is strongly interested in exploring AI algorithms, and a good understanding of digital logic circuits

Open PhD Position for Hybrid Hardware for Analog In-Memory-Computing and Digital Designs for AI

Expected starting date: Jan 01, 2026 – Dec 31, 2028
Duration: 3 years with a possible extension
Tasks:
  • This new PhD position aims to explore the design of hybrid hardware for AI. Concrete topics of this position can include but not limited to:
    • Robustness and reliability enhancement of RRAM-based analog in-memory-computing platform
    • Reprogramming-free methodologies for RRAM-based designs
    • Task Partition for hybrid analog and digital designs for AI
  • Appropriate participation in administrative tasks, in teaching courses, and in supervising student work is expected.

Requirements:
  • A completed master degree in electrical engineering, computer science or other related disciplines
  • The final grade should not be worse than “Good”.
  • Detailed knowledge of FPGAs, and proficiency in C, Python, VHDL/Verilog programming languages.
  • A good understanding of AI algorithms, e.g., neural networks, or is strongly interested in exploring AI algorithms

Open PhD Position for High-Performance and Low-Power Digital Hardware Accelerators for AI

Expected starting date: Jan 01, 2026 – Dec 31, 2028
Duration: 3 years with a possible extension
Tasks:
  • This new PhD position aims to explore the timing and power for digital hardware accelerators for AI. Concrete topics of this position can include but not limited to:
    • Evaluation of timing performance and power consumption in each fundamental building block in digital hardware accelerator, e.g., systolic array in TPU, for AI
    • Exploration of the evaluation results above to enhance timing performance and reduce power consumption of hardware for AI
    • Validation on FPGAs
  • Appropriate participation in administrative tasks, in teaching courses, and in supervising student work is expected.

Requirements:
  • A completed master degree in electrical engineering, computer science or other related disciplines
  • The final grade should not be worse than “Good”.
  • Detailed knowledge of FPGAs, and proficiency in C, Python, VHDL/Verilog programming languages.
  • A good understanding of AI algorithms, e.g., neural networks, or is strongly interested in exploring AI algorithms, and a good understanding of digital circuits.

We offer:

  • A creative and co-operative environment in a highly relevant research field.
  • A variety of opportunities to present your research results at international conferences.
  • Opportunity to co-operate with excellent scientists at home and abroad.
  • Comprehensive scientific support, e.g. in the planning and preparation of your publications.

The Technische Universität Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications applicants with a degree of disability of at least 50 or equal will be given preference. Wages and salaries are according to the collective agreements on salary scales, which apply to the Technische Universität Darmstadt (TV-TU Darmstadt). Part-time employment is generally possible.

How to apply?

By submitting your application, you agree that your data may be stored and processed for the purpose of filling the vacancy.

Please apply via the TU Darmstadt job vacancies website. The positions can be found there directly, and for convenience we also provide the corresponding links below (all point to the official TU Darmstadt job portal):
Uncovering Logic Reasoning of Neural Networks from Hardware Perspective
Hybrid Hardware for Analog In-Memory-Computing and Digital Designs for AI
High-Performance and Low-Power Digital Hardware Accelerators for AI

For any questions, please contact (Hardware for Artificial Intelligence Group).

Application deadline: September 30, 2025