Assistant Professor: Explainable Networked Embedded Systems

Eindhoven University of Technology; Eindhoven; On-site; EUR 52,764 - 71,792; Full time

Benefits offered by this job

8.3% year-end bonus

High-quality training programs

On-campus children's daycare

Job summary

Eindhoven University of Technology is looking for a full-time Assistant Professor specializing in explainable AI and networked embedded systems. The Department of Mathematics and Computer Science aims to contribute significantly to scientific and practical advancements. Applicants should hold a PhD in Computer Science or Electrical Engineering and have a notable research background.

Responsibilities include conducting impactful research and training students. Benefits include a competitive salary, a year-end bonus, and a supportive career development environment. Join us to lead groundbreaking research at the intersection of technology and social impact.

Qualifications

• At least 2-3 years of academic work experience post-PhD.
• Strong publication record in explainable AI.
• Motivated to contribute to teaching processes.

Responsibilities

• Conduct high-quality academic research.
• Bridge explainability methods with networked systems.
• Mentor students and lead projects.

Skills

Explainable AI and networked systems

Cooperation skills

Effective communication

Teaching skills

Education

PhD in Computer Science or Electrical Engineering

Job description

Eindhoven University of Technology is looking for a full-time Assistant Professor specializing in explainable AI and networked embedded systems. The Department of Mathematics and Computer Science aims to contribute significantly to scientific and practical advancements. Applicants should hold a PhD in Computer Science or Electrical Engineering and have a notable research background.

Responsibilities include conducting impactful research and training students. Benefits include a competitive salary, a year-end bonus, and a supportive career development environment. Join us to lead groundbreaking research at the intersection of technology and social impact.