Assistant Professor In Explainable Networked Systems

About the opportunity

The Eindhoven University of Technology (TU/e) is seeking a full-time Assistant Professor in Explainable Networked Systems to join the Interconnected Resource-aware Intelligent Systems (IRIS) cluster within the Department of Mathematics and Computer Science. The successful candidate will focus on the design, development, and maintenance of the next generation of explainable, transparent, and trustworthy networked embedded systems, such as autonomous vehicles and industrial IoT platforms. The role involves advancing techniques to make embedded intelligence understandable across network-software boundaries, ensuring distributed components and decision-making algorithms remain transparent and traceable. The position contributes to the Beethoven program’s goal of educating top STEM talent and strengthening research.

Salary and benefits

• Monthly gross salary between €4,925 and €6,682 (Scale 11), based on the Collective Labour Agreement for Dutch Universities.
• Year-end bonus of 8.3% and annual vacation pay of 8%.
• Dedicated mentoring program for integration into the university and Dutch research environment.
• Development Track with the prospect of becoming an Associate Professor (tailor-made proposals considered for senior profiles).
• High-quality training programs for academic leadership and teaching.
• Technical infrastructure, on-campus children's day care, and sports facilities.
• Affordable unlimited access to the TU/e Student Sports Center.
• Partially paid parental leave.
• Allowances for commuting, working from home, and internet costs.
• Staff Immigration Team support for international candidates.
• Tax compensation scheme (Expat Scheme) and partner career support.

Who can apply?

• PhD in Computer Science or Electrical Engineering.
• Strong publication record on the conjunction of explainable AI and networked (embedded) systems.
• Outstanding research achievements with international recognition (e.g., invited talks, service on PC, TPC, or editorial boards).
• At least 2-3 years of academic work experience after obtaining PhD.
• Demonstrated ability to bridge explainability methods with networked (embedded) systems.
• Motivation to teach, contribute to teaching processes, and develop teaching skills.
• Strong cooperation skills for interdisciplinary teamwork.
• Effective communication and leadership skills, including student coaching, mentoring, and project leadership.
• Excellent written and verbal proficiency in English.

Required documents

• Cover letter describing motivation and qualifications, explicitly detailing how previous research relates to the conjunction of explainable AI and networked (embedded) systems.
• Curriculum vitae, including a list of publications and contact information for three references.
• Description of scientific interests and plans (1-2 pages).
• Statement of teaching goals and experience (1-2 pages).

When to apply

• Submit application before September 15, 2026.

How to apply

• Submit a complete application online via the official portal.
• Include a cover letter, CV, scientific interests/plans, and teaching statement.