PhD Stipend — Energy-Efficient Agentic AI Research

AAU; Denmark; On-site; DKK 312,000 - 357,000; Full time

Job summary

Aalborg University invites applications for a PhD stipend in Energy-Efficient Agentic AI: Measuring When AI Is Worth Its Energy. The three-year position starts 1 March 2027 and aims to measure and reduce energy costs of agentic AI within a collaborative project.

You will build an evidence base on energy consumption per task, develop telemetry and FLOP-based estimates, and work with local testbeds and international venues. Danish is not required for the role.

Qualifications

• Master's degree in computer science or software engineering or related field.
• Strong interest in efficiency and sustainability of computing systems.
• Ability to design careful experiments and communicate results in English.

Responsibilities

• Design and run experiments to measure energy use of agentic AI.
• Develop evidence base for energy costs of AI tasks and compare alternatives.
• Collaborate with social-science researchers and publish in international venues.

Skills

Strong experimental design

English communication

Python programming

Linux-based systems

Energy measurement

Education

Master's degree in computer science or software engineering

Tools

Python

Linux

Energy measurement tools

Job description

Aalborg University invites applications for a PhD stipend in Energy-Efficient Agentic AI: Measuring When AI Is Worth Its Energy. The three-year position starts 1 March 2027 and aims to measure and reduce energy costs of agentic AI within a collaborative project.

You will build an evidence base on energy consumption per task, develop telemetry and FLOP-based estimates, and work with local testbeds and international venues. Danish is not required for the role.