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The University of Rostock offers a diverse, varied and challenging position in a tradition-conscious, yet innovative, modern and family-friendly university in a lively city by the sea.

At the Faculty of Computer Science and Electrical Engineering, Institute for Applied Microelectronics and Computer Engineering, Chair of Emerging Computing Technologies and Architectures, subject to budgetary provisions, we are filling the following position at the earliest possible date on a temporary basis for a period of three years ending (continued employment is intended):


Research Assistant (m/f/d) - Compute-in-Memory Architectures

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Start date
at the earliest possible date
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Working hours
full-time with 40 hours
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Remuneration pay group 13 TV-L
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Location Rostock
Tender number
W 118/2026
Limitation limited until three years, continued employment is intended
Application time 2026-10-14

Please do not hesitate to contact us for further information:

HR department:

Pia-Lucy Dahl
Phone number: 0381/498-1292
E-mail: pia.dahl@uni-rostock.de

Department:

Jun.-Prof. Chirag Sudarshan
Phone number: 0381/498-7260
E-mail: c.sudarshan@uni-rostock.de

Modern AI and data-intensive workloads are increasingly limited by data movement between memory and computation units. This research project focuses on developing next-generation computing architectures to mitigate the memory bottleneck and achieve energy-efficient computing. The successful candidate will work on the design and implementation of hardware accelerator architectures using emerging memory technologies. The specific research details and goals will be defined together with the candidate and can be tailored according to their background and interests.

THESE ARE YOUR TASKS:

  • Academic Research on Emerging Compute-in-Memory (CIM) Architectures for AI and Data-Intensive Computing
  • Develop novel CIM and memory-centric accelerators
  • Develop analog and mixed-signal circuits for CIM memory peripheral circuits and compute units
  • Design of digital hardware using Verilog/SystemVerilog
  • Perform ASIC implementation and contribute to silicon prototypes and experimental validation
  • Teaching assistance (seminars, labs, exercises) in the field of Compute-in-Memory Architectures and Data-Intensive Computing (4 SWS)
  • Publish research results in top-tier international conferences and journals
  • Collaborate with academic and industrial partners
  • Work toward obtaining a PhD degree in the field of hardware for AI and data-driven applications

THIS MAKES YOU A GOOD FIT:

  • Completed university degree (diploma, master's degree or comparable degree) in Electrical Engineering, Microelectronics, Computer Science, Physics, or  a related field, with preferably very good results
  • Strong background in one or more of the following areas: Analog/mixed-signal circuit design, Computer architecture, Digital design, Hardware accelerators, and emerging memory technologies.
  • Motivation and willingness to contribute to innovative research project
  • Very good knowledge of the English language, both written and spoken
  • Preferred Qualifications are:
    • Experience in ASIC design flow and industry-standard EDA tools
    • Experience in analog IC design or memory circuit design
    • Very good knowledge of Verilog/SystemVerilog-based hardware development
    • Previous semiconductor industry experienc
    • good knowledge of the German language, both written and spoken

WE AS AN EMPLOYER:

Equal opportunities are important to us. We welcome applications from suitable severely disabled people or people from traditionally underrepresented groups. We aim to increase the proportion of women in research and teaching and therefore encourage suitably qualified women to apply. We welcome applications from people of other nationalities or with a migration background.

WE OFFER YOU: