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PhD position

PhD in Physics-Informed Generative AI for Synthetic Energy Data

Radboud University · Nijmegen, Netherlands

Posted · Deadline:

Overview

A PhD position in Artificial Intelligence, Physics, Law at Radboud University, based in Nijmegen, Netherlands. Applications close on 25 Oct 2026. The listing states that the position is paid.

Key facts

Opportunity type
PhD position
Organization
Radboud University
Location
Nijmegen, Netherlands
Field / discipline
Artificial Intelligence, Physics, Law
Application deadline
25 Oct 2026
Funding / compensation
Paid
Duration
See source description
Last source check
No source check recorded

Project description

Original title: PhD Position: Physics-Informed Generative AI for Synthetic Energy Data

  • You will design and compare deep generative approaches, UAEs, GANs, diffusion models/flow matching, and Gaussian processes for realistic load, generation and voltage time series.
  • You will embed physical constraints into generation: power-flow consistency (Kirchhoff's laws) as soft or hard constraints, operational bounds (voltage limits, capacity, phase balance), and network topology through graph neural network architectures.
  • You will build validated benchmark datasets and an evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting).
  • You will collaborate with a fellow PhD candidate and a postdoctoral researcher on integrating differential privacy into the generative pipeline, balancing privacy guarantees against data utility.
  • You will contribute to an open-source synthetic data toolbox that DSOs, municipalities and researchers across the Netherlands will actually use.

Requirements and eligibility

See the source description and original listing for specific eligibility requirements.

Application documents

See the source description and original listing for required application documents.

Funding, benefits and conditions

See the source description and original listing for additional benefits and employment conditions.

Contacts and supervision

See the source description and original listing for contacts and supervision details.

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Before you apply

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How to apply

Apply via AcademicTransfer. Application deadline: 25 Oct 2026. Confirm the current requirements there.

Source and listing information

Application source: AcademicTransfer. Listing details may change; confirm them on the source site. A source check confirms page availability, not endorsement of the organization.

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Frequently asked questions

What type of opportunity is this and where is it based?
This is a PhD position at Radboud University, based in Nijmegen, Netherlands.
What is the application deadline?
Application deadline: 25 Oct 2026. Confirm the current deadline on the original listing.
Is funding or compensation specified?
Paid. Check the original listing for exact amounts and conditions.
Where can I apply and check the full requirements?
Use the application link to AcademicTransfer. The original listing provides the full requirements, documents and application instructions.

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