Job Description

Research Associate

(m/f/d) /

Wissenschaftlicher Mitarbeiterin



Institute



Institute of Control Systems



RemunerationEG 13 TV-L



ID: 33525WE14

Start of employment as soon as possible

Application deadline December 15th 2025

Scope full time and for a maximum of 36 months The Institute of Control Systems (ICS) is seeking to fill a full-time post-doctoral research position in the BMFTR funded-project "DEEP - Empowering Data Efficiency In Embedded Processors with Artificial Intelligence". The main objective of the DEEP project is to contribute efficiently and effectively to overcoming the challenges of digitalization for large-scale research facilities. Specifically, we enable the application of extremely fast machine learning and control methods. We focus on embedded parallel processors and develop the missing tools, build world-leading expertise for the next generation of system-on-a-chip hardware. The goal of the ICS within DEEP is to apply these tools for anomaly classification and control for the particle accelerators at DESY. This project is part of the research group of Prof. Annika Eichler in ICS and closely interlinked to the project partner Deutsches Elektronen-Synchrotron DESY, and the firmware team within the group MSK (Acclerator Beam Controls). Further partners are the Karlsruhe Institute of Technology (KIT), University of Bonn, University of Freiburg and SiMa Technologies Germany GmbH.



YOUR TASKS



Integrate AMD Vitis AI to DESY FPGA Development Framework FWK and contribute (High-Level Synthesis) HLS framework for AMD Versal Machine Learning (ML) algorithm optimization for hardware compatibility Online anomaly classification for the EuXFEL Low Level Radio Frequency (LLRF) control system Real-time plant emulation as a digital twin for the PETRA-IV Fast Orbit Feedback (FOFB) system Writing of scientific papers and presentation of results at conferences, student supervision and involvement of national project collaboration

YOUR PROFILE



Requirements



Completed scientific university studies, in particular in the subject of Electrical Engineering, Control Theory, Computer Science or equivalent

Required knowledge and personal skills



Machine Learning (ML) expertise with Control Theory and Signal Processing background High-Level Synthesis (HLS) expertise targeting FPGAs and Adaptive SoCs (C and C++) Programming/scripting for toolchain development and automation (Python and Tcl) Synthesizable Hardware Description Language (HDL) experience targeting FPGAs (VHDL is a plus) PhD in Electrical Engineering, Computer Science or related subject is advantageous

OUR OFFER



a job in an interesting, friendly and appreciative working environment flexible and family-friendly working conditions possibility of mobile working 30 day vacation per year internal offers for health promotion special conditions in further gyms

At the heart of TU Hamburg’s research, teaching and transfer of technology is the guiding principle of developing technology for people. The TU Hamburg sees itself in this context as a family-friendly and sustainable university with high performance and quality standards that strives for excellence in all its research fields. Interdisciplinarity, innovation, regionality and internationality are binding principles in our actions. With currently around 8.000 students, 110 professors and 1.650 employees, the TU Hamburg is characterised by short decision-making processes and close cooperation between the board, the institutes, the deans of studies, the research areas and the administration. We identify ourselves with a modern leadership culture and cultivate appreciative interaction.



For further information please contact Prof. Dr.-Ing. Annika Eichler, Tel.-Nr.



+49 40 30601 2103

, Email:

annika.eichler@tuhh.de



We value diversity, therefore all applications are welcome, regardless of gender, gender identity, ethnic origin, nationality, age, religion and belief, disability, sexual orientation and identity or social background.



The TUHH stands for equal opportunities



as well as appreciative and respectful cooperation.



Please send your complete application documents (cover letter, curriculum vitae in table form, proof of completed training and/or university degree, job references or certificates of employment) via the online application system.



Notice for severely disabled persons and people with equal status.

Notice for graduates of foreign educational qualifications:

Please submit proof of all obtained university degrees and, if available, the recognition of your educational qualifications in Germany (e.g. anabin excerpts and/or acknowledgement of previous employers).

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