Postdoc: Self-Adaptive AI for Embedded Edge Systems

DTU — Technical University of Denmark; Denmark; Remote; DKK 420,000 - 540,000; Full time

Job summary

DTU Compute – Embedded Systems Engineering (ESE) invites applications for a Postdoctoral Researcher to contribute to the REGAIN-AI project, a research initiative on reliability, sustainability and self-adaptation in AI-enabled systems. The appointment is for 2 years with starting date January 2027 or soon thereafter.

You will conduct cutting-edge research, develop novel models and runtime mechanisms, and publish results in top conferences and journals, collaborating with partners in Denmark and

Qualifications

• PhD in a relevant field as documented by publications.
• Strong analytical and mathematical problem-solving abilities.
• Experience in experimental systems research and prototype development.
• Excellent written and spoken English communication.

Responsibilities

• Conduct cutting-edge research on reliable, sustainable, and self-adaptive AI systems for embedded, edge, and distributed computing environments.
• Develop models, methodologies, and runtime mechanisms to characterize and control uncertainty, reliability, and resource use.
• Develop proof-of-concept implementations and validate solutions on embedded devices and edge platforms.
• Publish and disseminate results in international conferences and journals; collaborate with academic and industrial partners.
• Supervise MSc and PhD students and contribute to the ESE research environment.

Skills

Analytical skills

Math skills

English proficiency

Research experience

Prototype development

Education

PhD in Computer Science, Electrical Engineering, Applied Mathematics or Machine Learning

Job description

DTU Compute – Embedded Systems Engineering (ESE) invites applications for a Postdoctoral Researcher to contribute to the REGAIN-AI project, a research initiative on reliability, sustainability and self-adaptation in AI-enabled systems. The appointment is for 2 years with starting date January 2027 or soon thereafter.

You will conduct cutting-edge research, develop novel models and runtime mechanisms, and publish results in top conferences and journals, collaborating with partners in Denmark and