PhD: Energy-Efficient Agentic AI Measurement

AAU; Aalborg; On-site; DKK 320,000 - 420,000; Full time

Job summary

Aalborg University invites applications for a PhD stipend in Energy-Efficient Agentic AI, hosted by the Department of Computer Science. The project investigates energy costs of agentic AI and how to reduce them, with open science practices and collaboration with AAU Business School.

You will develop experiments, measure energy on hardware, and publish results at international venues, while pursuing a PhD and courses within the Technical Doctoral School of IT and Design.

Qualifications

• Master's degree in computer science or software engineering, or a related field.
• Solid programming skills (e.g., Python) and experience with Linux-based systems.
• Experience with LLMs, agent frameworks, energy or performance measurement is an advantage.
• Excellent English communication; Danish is not required.

Responsibilities

• Measure energy use of agentic AI and document per-task energy costs.
• Develop experiments and run agent frameworks on curated task sets.
• Validate telemetry-/FLOP-based estimates on hardware.
• Collaborate with social scientists and publish in international venues.

Skills

Python

Linux

Education

Master's degree in computer science or software engineering, or a related field

Job description

Aalborg University invites applications for a PhD stipend in Energy-Efficient Agentic AI, hosted by the Department of Computer Science. The project investigates energy costs of agentic AI and how to reduce them, with open science practices and collaboration with AAU Business School.

You will develop experiments, measure energy on hardware, and publish results at international venues, while pursuing a PhD and courses within the Technical Doctoral School of IT and Design.