PhD in Materials Science: machine-learning accelerated multiscale models of coupled ionic and electronic transport in organic materials (LiU-2026-04548)
Linkoping University, Laboratory of Organic Electronics (WISE programme)
Who can apply: Master’s degree in (Applied) Physics, Materials Science or a related field, or 240 credits with at least 60 advanced credits in a relevant area. Programming (C++, Fortran), scientific machine learning, Monte Carlo or MD experience is an advantage. No nationality restriction stated. What is funded: Salaried doctoral employment, normally four years full time, salary on a locally negotiated doctoral salary progression (no figure printed), with Swedish employee benefits; part of the Wallenberg WISE research school. Deadline: 13 November 2026.
Read the full call and apply on the official page: Linkoping University, Laboratory of Organic Electronics (WISE programme), official page.
Who can apply
- Master's degree in (Applied) Physics, Materials Science or a related field, or 240 credits with at least 60 advanced credits in a relevant area. Programming (C++, Fortran), scientific machine learning, Monte Carlo or MD experience is an advantage. No nationality restriction stated.
Stage dates
Application must reach Linkoping University no later than this date, via the Apply button13 November 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.