Opening Assistant Professorship of Computer Science "Embedded Artificial Intelligence

https://www.fau.eu/people/working-at-fau/professorships/#W1-Assistant-Professor-Computer-Science
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The Faculty of Engineering at Friedrich-Alexander-Universität 
Erlangen-Nürnberg (FAU), Germany, invites applications for an

Assistant Professor of Computer Science
*Embedded Artificial Intelligence* (salary group W1)

at the Department of Computer Science. The position is to be filled by 
the earliest possible starting date for an initial period of three 
years. Upon successful evaluation, the appointment will be extended for 
another three years.

We seek to appoint a top early career scientist with an internationally 
visible profile in research and teaching. The candidate should develop 
outstanding expertise in the field of machine learning (ML) for design 
automation of electronic systems (ECAD) and/or ECAD for ML, and should 
ideally have experience in research and teaching in one or several of 
the following areas:

     Machine learning for resource management in MPSoCs
     (Explainable) artificial intelligence in electronic design automation
     Compilation-based mapping of ML to heterogeneous targets
     Design technology co-optimization (DTCO)
     Tiny ML, ML for IoT, ML at the edge
     Hardware-aware learning
     Approximate computing
     Cyber-physical human-computer interaction: Models and verification
     Robustness, safety and security of ML
     LLM-ECAD: Large language model for ECAD.

The professor will be responsible for setting up and leading an 
independent research group in the Department of Computer Science, and 
will be expected to contribute to the degree programs in computer science.

Successful candidates should demonstrate initial academic achievements 
and the capacity for independent research at the highest international 
standards. They should have substantial research experience abroad 
and/or experience in managing research projects and in raising 
third-party funding. A university degree and an outstanding doctoral 
degree as well as a passion for education and relevant teaching 
experience are also prerequisites. Candidates who are able and willing 
to teach in both English and German are preferred.

No more than four years should have passed between the conferral of the 
doctoral degree and deadline of the call for applications; this period 
is extended to a maximum of seven years in the field of medicine or 
clinical psychology and may also be extended due to periods of 
supporting a family or caring for a family member. The date of the 
doctoral certificate is decisive.

The successful candidate should become actively involved in 
administering academic affairs and in developing strategic initiatives. 
FAU pursues a policy of intense student mentoring and therefore expects 
its teaching staff to be present during lecture periods.

FAU offers career development, mentoring and an attractive initial 
research budget. Based on international standards and transparent 
performance agreements, FAU ensures a fair evaluation process.

FAU offers an outstandingly productive research environment as well as a 
passionate and multi-disciplinary scholarly community within a vibrant 
institutional network.

In its pursuit of academic excellence, FAU is committed to equality of 
opportunity and to a proactive and inclusive approach, which supports 
and encourages all under-represented groups, promotes an inclusive 
culture and values diversity. FAU is a family-friendly employer and 
responsive to the needs of dual career couples.

Please submit your complete application documents (CV, list of 
publications, teaching concept and research concept [max. 2 pages each], 
list of third-party funding, copies of certificates and degrees) online at

https://berufungen.fau.de

by *December 1, 2025* addressed to the Dean of the Faculty of 
Engineering. Please contact [email protected] with any questions.


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