PhD in Predicting the Energy Consumption, Radboud University, Netherlands

Postdoc in Netherlands

PhD in Predicting the Energy Consumption: Radboud University invites applications for a PhD position focusing on developing innovative methods to predict and reduce the energy consumption of large-scale AI systems. This research aims to promote environmentally responsible AI technologies during the design phase.

PhD in Predicting the Energy Consumption of AI Algorithms

Designation

PhD Candidate in the Faculty of Science

DetailInformation
Gross Monthly Salary€3,059 – €3,881
Employment Type1.0 FTE
Initial Contract Duration1.5 years (extendable up to 4 years)
Application Deadline07 September 2025

Research Area

  • Energy consumption of AI algorithms
  • Environmental sustainability in AI system design

Location

Institute for Computing and Information Sciences (iCIS), Radboud University, Netherlands

Eligibility/Qualification

  • Master’s degree in Computing Science, Information Science, or a closely related discipline
  • Knowledge of and interest in security and privacy
  • Willingness to work in a multidisciplinary environment

Description

As a PhD candidate, you will focus on developing methods to assess the environmental impact of different AI system designs. This includes enhancing data flow diagrams with energy consumption metrics and conducting experiments to predict energy scalability using generated data sets. Collaboration with a multidisciplinary team of AI experts, software developers, and social scientists will be essential to ensure that your research contributes practically and sustainably.

How to Apply

Interested candidates should submit their application through the application link provided on the Radboud University website. Include a letter of application and any required documents as specified in the application form. Direct all inquiries to Dr. B.E. van Gastel at bernard.vangastel@ru.nl.

Last Date for Apply

07 September 2025

This is a unique opportunity to contribute to sustainable AI technology while working in a dynamic research environment at one of the top computer science institutions in the Netherlands.

Link

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