Postdoc in Self-Adaptive AI Systems and Embedded Intelligence - DTU Compute

DTU - Technical University of Denmark; Kongens Lyngby; On-site; DKK 450,000 - 550,000; Full time

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

Job Overview

Postdoctoral Researcher – REGAIN‑AI Project
Join the Embedded Systems Engineering (ESE) research section at DTU Compute to work on the REGAIN‑AI project, a newly established initiative funded by the Novo Nordisk Foundation that investigates reliability, sustainability, and self‑adaptation in next‑generation AI‑enabled systems across embedded, edge, and distributed computing environments.

Responsibilities

• Conduct cutting‑edge research on reliable, sustainable, and self‑adaptive AI systems for embedded, edge, and distributed computing environments.
• Develop novel models, methodologies, and runtime mechanisms for characterizing and controlling uncertainty, reliability, resource consumption, and adaptive behavior in AI‑enabled systems.
• Create proof‑of‑concept implementations and experimentally validate proposed solutions on embedded devices, edge platforms, and distributed computing infrastructures, bridging theoretical advances with practical systems prototyping.
• Publish and disseminate research results in leading international conferences and journals and contribute to knowledge transfer with academic and industrial partners.
• Supervise MSc and PhD students and contribute to building a growing research environment within the ESE section.

Qualifications

• A PhD degree in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, or a related field.
• Research interests in AI systems, embedded intelligence, edge computing, dependable systems, machine learning, or related areas, demonstrated by a publication record in relevant venues.
• Strong analytical and mathematical problem‑solving skills.
• Experience in experimental systems research and prototype development.
• Excellent communication skills in English.

Strong Advantages

• Experience developing experimental prototypes and evaluating AI‑enabled systems on embedded devices, cyber‑physical platforms, or resource‑constrained computing environments.
• Experience with probabilistic reasoning, uncertainty‑aware machine learning, statistical modelling, or related techniques for reasoning under uncertainty.

Salary and Terms of Employment

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 2 years, with a starting date in January 2027 or soon thereafter according to mutual agreement.

EEO Statement

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.