PhD Part Time in Machine Learning in Embedded Systems Design (m/f/x)
Faculty of Electrical Engineering and Information Technology:
Chair of Embedded Systems
In order to fill afixed-term position in part-time (9,96 Std./Woche = 25%) at the earliest possible date, we are looking for 1
PhD Part Time in Machine Learning in Embedded Systems Design (m/f/x)
At our chair, we specialize in a wide range of cutting-edge topics, including design automation of embedded systems, reliability optimization, design of fault-tolerant and predictable architectures, approximate computation, and electronic design automation for FPGAs. We are particularly interested in researching beyond CMOS technologies and reconfigurable architectures to push the boundaries of what is possible in embedded systems.As a new addition to the academic landscape at Ruhr-Universität Bochum, our chair is dedicated to fostering collaboration, advancing future-oriented research, and nurturing the next generation of embedded systems leaders. Join us on an exciting journey to shape the future of technology and innovation.
This project investigates different ML techniques, finding out suitable models for a particular purpose and studies some of the key questions. Which metrics are required to be analyzed & predicted using edge-inference. Which metrics can be analyzed & predicted on cloud side? What are effective models considering latency, memory consumption, size, complexity etc., when planned to be used on the Edge.
| Scope: | part-time |
| Duration: | fixed-term,31.03.2027 (End of project) |
| Start: | at the earliest possible date |
| Apply by: | 2025-06-24 |
Your tasks:
• investigate ML techniques and determine efficient ones for the project objectives,
• design and develop the framework,
• implementing proposed mechanisms on a target hardware platform,
• publish the works in international conferences and journals.
Your profile:
We aim at attracting the best talent in the respective research fields and expect the following:
• an outstanding university degree (Master’s degree or equivalent) in computer science and electrical engineering;
• strong affinity and understanding towards Embedded systems;
• prior industrial experience (having worked on multiple real time projects), that enables understanding the challenges occurring in the embedded industries, in order to tackle them effectively with this research work;
• very good knowledge of Microcontroller Architecture and algorithm design;
• good understanding of machine learning (including its subsets such as TinyML and other similar frameworks);
• proficiency in programming (Embedded C / C++ and Python);
• very good knowledge about different IDE(Integrated Development Environment)s, Tools, Frameworks used in embedded development;
• willingness and enthusiasm to find and define new methodologies, bringing out fresh perspectives for driving forward the research work;
• very good interpersonal and communication skills; in particular, the ability to effectively work in collaborative research efforts;
• fluency in English – written and oral.
We offer:
Further information:
The position is salaried and based on the collective agreement of the Länder (TV-L).If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L.
Further information can be found at https://oeffentlicher-dienst.info/ (in German).
The place of work is Ruhr University Bochum.A qualified application is expected.If the position is funded by third-party funds the employee has no teaching obligation.
German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF).https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en
The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact wpr@rub.de.
The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum’s declared aim.
The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.
Contact persons for further information:
Fr. Giulia Brennecke, Tel.: +49 234 32 17542
Prof. Dr. Akash Kumar, Tel.: +49 234 32 15677
Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed.
We look forward to receiving your application via our online application portal by 2025-06-24. Please make sure to mention the reference number ANR 4652.
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https://uni.ruhr-uni-bochum.de/de/stellenangebote
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