Postdoctoral Position in Computational Materials… | StemSkills Lab
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Open Reference LiU-2026-04290, advertised by the Department of Science and Technology (ITN), Campus Norrköping, within the WISE programme. Starting date winter 2026 or by agreement.

Postdoctoral Position in Computational Materials Science: machine-learning accelerated simulation of self-assembled monolayers and material interfaces (ref LiU-2026-04290)

Linköping University (Linköpings universitet), Laboratory of Organic Electronics

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Who can apply: A doctoral degree, or a foreign degree deemed equivalent, awarded no later than the date of the employment decision; a degree awarded no more than three years before the application deadline is considered advantageous, and statutory leave may be taken into account. The PhD should be in chemistry, physics, materials… What is funded: A salaried postdoctoral employment at Linköping University, full time and fixed term for two years with possible extension to a total of three years, starting winter 2026 or by agreement. Salary follows a locally negotiated progression and the advert prints the figure: the normal starting salary for postdoctoral… Deadline: 23 October 2026. The advert states the application must be received no later than October 23, 2026, and the university’s own vacancy list prints the same date in full as 2026-10-23. No closing time is given. Round: Reference LiU-2026-04290, advertised by the Department of Science and Technology (ITN), Campus Norrköping, within the WISE programme. Starting date winter 2026 or by agreement.

Read the full call and apply on the official page: Linköping University (Linköpings universitet), Laboratory of Organic Electronics, official page.

Who can apply

  • A doctoral degree, or a foreign degree deemed equivalent, awarded no later than the date of the employment decision; a degree awarded no more than three years before the application deadline is considered advantageous, and statutory leave may be taken into account. The PhD should be in chemistry, physics, materials science or another field relevant to the project. Documented experience in density functional theory, molecular dynamics, machine learning methods for materials modelling, computational materials science, or organic and hybrid materials for energy applications is an advantage. Good proficiency in English is required. No citizenship restriction is stated, but a non-EU appointee will need a Swedish work and residence permit before starting.

Stage dates

Single application through the university's Apply button.23 October 2026

Dates come from the funder's page for this round. When a round closes, the next round's dates replace these once the funder publishes them.

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