Postdoc: Self-Adaptive AI for Edge & Embedded Systems

DTU - Technical University of Denmark

Kongens Lyngby

On-site

DKK 450,000 - 550,000

Full time

14 days+

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Job summary

DTU - Technical University of Denmark is seeking a Postdoctoral Researcher for the REGAIN‑AI project. This role involves conducting groundbreaking research on reliable and sustainable AI systems across embedded and distributed computing environments.

The ideal candidate holds a PhD in relevant fields and has a strong publication record in AI and machine learning. The position is full-time, and offers opportunities for supervising students and publishing research. The employment starts in January 2027 or soon thereafter.

Qualifications

  • PhD degree in Computer Science, Electrical Engineering, Applied Mathematics, or related fields.
  • Research interests in AI systems and embedded intelligence.
  • Strong analytical and mathematical problem-solving skills.
  • Experience in experimental systems research and prototype development.
  • Excellent communication skills in English.

Responsibilities

  • Conduct research on AI systems for embedded and distributed computing environments.
  • Develop methodologies for controlling reliability and uncertainty in AI systems.
  • Create proof-of-concept implementations and validate solutions.
  • Publish research results in international conferences and journals.
  • Supervise MSc and PhD students.

Skills

AI systems
Embedded intelligence
Machine learning
Analytical problem-solving
Communication skills in English

Education

PhD in Computer Science or related field

Job description

DTU - Technical University of Denmark is seeking a Postdoctoral Researcher for the REGAIN‑AI project. This role involves conducting groundbreaking research on reliable and sustainable AI systems across embedded and distributed computing environments.

The ideal candidate holds a PhD in relevant fields and has a strong publication record in AI and machine learning. The position is full-time, and offers opportunities for supervising students and publishing research. The employment starts in January 2027 or soon thereafter.

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