Postdoc on Machine Learning and Materials Theory, Eindhoven University of Technology, Netherlands

Postdoc in Netherlands

Postdoc on Machine Learning and Materials Theory: Eindhoven University of Technology invites applications for a postdoctoral researcher position focused on the development of computational frameworks that integrate quantum-mechanical simulations with modern machine learning approaches. This position aims to design and understand advanced optoelectronic materials for applications in sustainable energy, spintronics, and quantum technologies.

Postdoc on Machine Learning and Materials Theory for Optoelectronics

Designation

Postdoctoral Researcher


Job Details

FieldDetails
Research AreaOptoelectronics, Quantum Technologies, Spintronics
LocationEindhoven, Netherlands
Eligibility/QualificationPhD in physics, materials science, chemistry, or related field. Strong knowledge in DFT/many-body methods, molecular dynamics, and machine learning for materials design.
Job TypeTemporary position (Full-time, 18 months)
SalaryScale 10 (min. €4,241 max. €5,538)

Job Description

We are seeking a motivated postdoctoral researcher to:

  • Develop frameworks connecting quantum-mechanical simulations with machine learning.
  • Design and analyze advanced optoelectronic materials, such as halide perovskites.
  • Collaborate with experimental and applied researchers to ensure theoretical insights drive innovation.
  • Mentor students and contribute to interdisciplinary research efforts.

Requirements:

  • Expertise in DFT/many-body methods and machine learning.
  • Experience in optoelectric, spintronic, or quantum materials is advantageous.
  • Demonstrated track record of quality research with publications.

How to Apply

Interested candidates should submit a complete application including:

  • A cover letter detailing motivation and qualifications.
  • Curriculum vitae with a list of publications and three reference contacts.
  • A list of five self-selected ‘best publications’.

Please apply via the university’s career page.


Last Date to Apply

October 26, 2025

For further inquiries, please contact:

  • Dr. Shuxia Tao: s.x.tao@tue.nl
  • Stefan van Luijk, HR advisor: s.h.v.luijk@tue.nl

We look forward to receiving your application!

Link

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