Assistant Professor in Heterogenous Design Automation

The rapid evolution of computing systems—driven by edge devices, AI accelerators, and domain-specific architectures—has created unprecedented hardware heterogeneity. Modern platforms combine CPUs, GPUs, FPGAs, ASICs, and emerging technologies such as neuromorphic and photonic processors. This diversity challenges traditional Electronic Design Automation (EDA) tools, demanding new paradigms for design automation.

Artificial intelligence offers transformative potential in this space, enabling automation of complex tasks, optimization of design flows, and adaptive systems. Techniques like reinforcement learning, neural architecture search, and generative modeling are reshaping how systems are designed, verified, and deployed. However, AI integration into heterogeneous design automation remains fragmented and underdeveloped.

Current EDA tools are optimized for homogeneous architectures and fail to address multi-domain, multi-technology, and multi-abstraction challenges. There is a pressing need for systematic research and education to bridge AI and EDA. Future methodologies must deliver cross-layer optimization from software to silicon, intelligent automation for design space exploration, and scalable architectures that adapt to evolving workloads and technologies. Additionally, collaborative ecosystems are essential to unify traditionally isolated domains.

Heterogeneous design automation will enable next-generation systems that are faster, more efficient, and more adaptable. By combining AI-driven intelligence with advanced design methodologies, this research aims to overcome complexity and unlock innovation across computing platforms.

Information
The ES group aims to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber-physical systems. Within this position you will contribute to our research on smart electronic systems. Next to your research activities you will develop and teach courses at both undergraduate and graduate level in English. You will also be involved in supervising Bachelor, Master, EngD, and PhD candidates.

In this role, you will contribute to the ambition of the Beethoven program to educate top talent and strengthen research across the fields of Science, Technology, Engineering, and Mathematics (STEM).

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Salary in accordance with the Collective Labour Agreement for Dutch Universities. For a junior Assistant Professor this is (scale 11) min. € 4,728 max. € 6,433 gross per month (on a full-time basis).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• A dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
• A Development Track with the prospect of becoming an Associate Professor. If you have a more senior profile, a tailor-made career proposal will be considered.
• High-quality training programs for academic leadership and teaching.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and partner career support.

Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Sander Stuijk, Chair Electronic Systems group, s.stuijk@tue.nl or +31 40 247 3387.

Visit our website for more information about the application process or the conditions of employment. You can also contact Thomas Slegers, Senior Recruiter, t.slegers@tue.nl or +31 6 14835214.

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