Doctoral Candidate (m/f/d) in the field of digital accelerator design for deep learning and neuromorphic computing

With more than 16,000 students and 3,800 employees, the Technische Universität Braunschweig is one of Germany´s leading institutes of technology. It stands for strategic and performance-oriented thinking and acting, relevant research, committed teaching, and the successful transfer of knowledge and technologies to the economy and society. We consistently advocate for family friendliness and equal opportunities.

Our research focuses are mobility, engineering for health, metrology, and city of the future. Strong engineering and natural sciences are our core disciplines. These are closely interconnected with economics, social and educational sciences and humanities.

Our campus is located in the midst of one of the most research-intensive regions in Europe. We work successfully together with over 20 research institutions in our neighborhood as we do with our international partner universities.

Starting from 01.11.2025 the department of electrical engineering, information technology and physics is looking for a

Doctoral Candidate (m/f/d) in the field of digital accelerator design for deep learning and neuromorphic computing
(EG 13 TV-L, full-time)

The position is to be filled on a fixed-term basis for period of 3 years. The successful applicant will be given the opportunity to pursue a doctorate.

In the European project NeAIxt you will given the opportunity to work on the next generation of chips for artificial intelligence. At TU Braunschweig, you will have the chance to work in close collaboration with renowned German and European partners from science and industry, developing in-memory computing AI accelerators using novel non-volatile memory chips! By merging logic and memory elements, costs and the required wafer area can be minimized and, above all, energy efficiency and speed can be maximized. Specifically, in this project we are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar or memory structures with extremely low power consumption and high speed.

The development of digital architectures plays a crucial role in making the concept of in-memory computing viable and hence connected sensors intelligent at the edge.

Your tasks

• Responsible for RTL design (VHDL, Verilog) of digital blocks and their system-level integration
• Develop design architecture and break down requirements into functional blocks
• Create and execute test benches for RTL and timing simulations
• Perform formal verification of FPGA designs, including timing analysis, code coverage and coding rule checks
• Support FPGA integration on target hardware
• Create design documentation in compliance with internal and external normative standards
• Collaborate with cross-functional teams including digital design, systems and mixed-signal design
• Present scientific results at conferences and publish findings in journals

Your Qualifications

• Completed scientific university studies in the field of electrical engineering, electronics, communication engineering, information technology or comparable with a master's or diploma degree
• Experience in FPGA design for different technologies and suppliers like Intel PSG (Altera), Xilinx or Lattice
• Knowledge in synthesis and physical design tools such as design compiler and Cadence Innovus will be advance
• Expertise in at least one area as a plus:
• deep learning
• hardware development
• edge AI
• memory technology
• Strong problem-solving and analytical skills with the ability to lead complex design efforts
• Quick to adapt to new technical and scientific contexts
• Highly motivated and having a clear focus on producing high-quality scientific publications in peer-reviewed journals and presenting at international conferences
• Good written and spoken English skills as a basis for working in an international team

We offer

• Work on exciting future-oriented research topics in an inspiring work environment as part of the university community
• A vibrant campus life in an international atmosphere with lots of intercultural offers and international cooperations
• Pay in accordance with the collective agreement TV-L (a special payment at the end of the year as well as a supplementary benefit in the form of a company pension, comparable to a company pension in the private sector) including 30 days' vacation per year
• Flexible working and part-time options and a family-friendly university culture, awarded the "Family-friendly university" audit since 2007
• Special continuing education programs for young scientists, a postdoc program, as well as other offerings from the Central Personnel Development Department and sports activities.

Further notes
We welcome applicants of all nationalities. At the same time, we encourage people with severe disabilities to apply. Applications from severely disabled persons will be given preference if they are equally qualified. Please attach a proof of disability to your application. We are also working on the fulfilment of the Central Equality Plan based on the Lower Saxony Equal Rights Act (Niedersächsisches Gleichberechtigungsgesetz—NGG) and strive to reduce under-representation in all areas and positions as defined by the NGG. Therefore, applications from women are particularly welcome in this case.

The personal data will be stored for the purpose of processing the application. By submitting your application, you agree that your data may be stored and processed electronically for application purposes in compliance with the provisions of data protection law. Further information on data protection can be found in our data protection regulations at https://www.tu-braunschweig.de/datenschutzerklaerung-bewerbungen . Application costs cannot be reimbursed.

Questions and Answers
For more information, please call Prof. Dr. Thomas Kämpfe on +49 (0) 531 391-7490.

Deadline for applications is 20.09.2025

Are you interested? Please send your application preferably via email to thomas.kaempfe(at)tu-braunschweig.de

or via mail to

Technische Universität Braunschweig
Institut für CMOS Design
Neuromorphic Computing Group
Spielmannstr. 11a
38106 Braunschweig

vom: 03.09.2025
gültig bis: 20.09.2025