Do you have a passion for computer systems and explainable AI especially for resourcelimited embedded systems Are you driven to make intelligent networked systems more transparent and trustworthy Then you may be exactly the candidate we are looking for.
Explainable networked (embedded) systems such as autonomous vehicles smart energy infrastructures and industrial IoT platforms increasingly make autonomous or semi-autonomous decisions. The ability to understand why a system behaves in a certain way becomes critical for safety certification debugging and user acceptance. Explainability ensures that complex interactions between distributed components remain interpretable enabling engineers to trace decisions identify anomalies control quality and design systems that behave reliably even under uncertainty. As an assistant professor you will focus on advancing techniques that make embedded intelligence understandable from communication protocols that preserve contextual information to algorithms capable of producing human-interpretable outputs. You will explore explainability across embedded networksoftware boundaries ensuring that distributed components sensing/actuation pipelines and decisionmaking algorithms remain transparent and traceable.
IRIS research is performed in the context of various application domains including automotive smart industry predictive maintenance logistics smart cities health and wellbeing and intelligent lighting. The industrial applications and collaborations inspire IRIS in its research and ensure that its research outcome remains as close as possible to real-world problems and has economic and societal impacts.
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 addition we offer you:
On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact today and in the future. TU/e is home to over 13000 students and more than 7000 staff forming a diverse and vibrant academic community.
Our university is located in Brainport Eindhoven a worldleading tech region with more than 7000 hightech companies and strong R&D activity. Known for breakthroughs in AI photonics semiconductors and advanced manufacturing Brainport is a place where technology serves people and society. Learn more about the Brainport region here.
Do you recognize yourself in this profile and would you like to know more
Please contact secretary of the IRIS cluster at or.
Visit our website for more information about the application process. You can also contact Annette van Kamp-Rustenburg Senior Recruiter or.
Curious to hear more about what it is like as a professor at TU/e Please watch the video.
Are you inspired and would like to know more about working at TU/e Please visit our career page.
We invite you to submit a complete application. The application should include a:
Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.
We look forward to receiving your application before April 30 2026.
Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.
The recruitment process will include the following sequential selection rounds:
We look forward to receiving your application and will review it once the vacancy has closed.
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Required Experience:
Junior IC