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PhD position

PhD in Probing Hydrogen-Defect Interaction in Circular Steels via Atomistic Simulation

Delft University of Technology · Delft, Netherlands

Posted · Deadline:

Overview

A PhD position in Energy, Artificial Intelligence at Delft University of Technology, based in Delft, Netherlands. Applications close on 30 Oct 2026. The listing states that the position is paid.

Key facts

Opportunity type
PhD position
Organization
Delft University of Technology
Location
Delft, Netherlands
Field / discipline
Energy, Artificial Intelligence
Application deadline
30 Oct 2026
Funding / compensation
Paid
Duration
See source description
Last source check
No source check recorded

Project description

Original title: PhD Position Probing Hydrogen-Defect Interaction in Circular Steels via Atomistic Simulation

  • Perform Density Functional Theory (DFT) calculations to model hydrogen-tramp element co-segregation at grain boundaries and phase boundaries
  • Perform DFT to obtain atomistic insights into how tramp elements interact with dislocations and how hydrogen modifies these interactions
  • Develop a DFT-accurate machine-learned interatomic potential (MLIP) for a multi-component Fe alloy system, enabling predictive molecular dynamics (MD) simulations capable of probing hydrogen diffusion and trapping at interfaces in the presence of tramp elements with near-DFT accuracy
  • Collaborate closely with a broad team of researchers from the department MSE of TU Delft, University of Groningen, Eindhoven University of Technology, University of Twente, KU Leuven, and MPI for Sustainable Materials, as well as with the project's industrial partner, Tata Steel.
  • Contribute to scientific publications, conference presentations and the dissemination of research findings within the M2i framework
  • You hold a Master’s degree in Materials Science and Engineering, Physics, Chemistry or a closely related discipline.
  • You have a strong background and prior experience in atomistic and molecular simulation techniques, specifically density functional theory (DFT) and molecular dynamics (MD) simulations.
  • You are keen to learn new techniques for the development of machine learning interatomic potentials for MD simulations.
  • You have a strong academic track record, as evident from your Master's thesis and relevant coursework.
  • You have excellent written and verbal communication skills in English.
  • Prior experience on publications in international peer-reviewed journals and conference participation is an added advantage but not mandatory.
  • A cover letter in which you describe your motivation and specific qualifications for this position (max 1 page)
  • Copies of any journal/conference publications (if any).
  • You can apply online. We will not process applications sent by email and/or post.
  • Please do not contact us for unsolicited services.

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: 30 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 Delft University of Technology, based in Delft, Netherlands.
What is the application deadline?
Application deadline: 30 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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