PhD in Self-Adaptive AI for Embedded Edge Systems

DTU - Technical University of Denmark; Kongens Lyngby; On-site; DKK 357,000 - 469,000; Full time

Job summary

DTU Compute – Embedded Systems Engineering invites applications for a PhD scholarship focusing on reliability, sustainability and self-adaptation in AI-enabled systems, funded by Novo Nordisk Foundation. It investigates how uncertainty from generative AI can be characterized and bounded in embedded, edge and distributed computing environments.

The role blends theory with hands-on experimental validation, developing models and runtime mechanisms, and collaborating with international partners

Qualifications

• MSc degree in Computer Science, Electrical Engineering, Machine Learning, Applied Mathematics, or a related field.
• Strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, dependable systems, or related areas.
• Strong analytical and mathematical problem solving skills.
• Experience with programming and experimental evaluation of computing systems.
• Excellent communication skills in English.

Responsibilities

• Conduct research on reliable, sustainable, and self adaptive AI systems for embedded, edge, and distributed computing environments.
• Develop models, methodologies, and runtime mechanisms for characterizing and controlling uncertainty, reliability, resource consumption, and adaptive behaviour in AI-enabled systems.
• Develop proof‑of‑concept implementations and experimentally validating proposed solutions on embedded devices and distributed computing infrastructures.
• Publish and disseminate research results in international conferences and journals.
• Contribute to the department with service work, including being a Teaching Assistant.
• Contribute to a collaborative research environment and interacting with academic and industrial partners.

Skills

MSc degree

AI systems

Edge computing

Analytical skills

English communication

Education

MSc degree in CS/EE/ML/Math

Tools

Embedded devices

Job description

DTU Compute – Embedded Systems Engineering invites applications for a PhD scholarship focusing on reliability, sustainability and self-adaptation in AI-enabled systems, funded by Novo Nordisk Foundation. It investigates how uncertainty from generative AI can be characterized and bounded in embedded, edge and distributed computing environments.

The role blends theory with hands-on experimental validation, developing models and runtime mechanisms, and collaborating with international partners