Linköping University
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PhD in Materials Science: Machine-Learning Accelerated Computational Models for Ionic and Electronic Transport in Organic Materials Linköping University in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
Doctoral student employment with salary determined by locally negotiated salary progression. The position is normally four years full-time, with possible extension up to five years depending on teaching and institutional duties. Employment includes paid vacation, free access to the Swedish health-care system, paid parental leave, and pension accrual.
Deadline
Nov 13, 2026
Country
Sweden
University
Linköping University

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About this position
Linköping University is advertising a PhD position in Materials Science at the Laboratory of Organic Electronics (LOE) in Norrköping, Sweden. The project sits in computational materials science and focuses on understanding and predicting coupled ionic and electronic transport in organic functional materials for sustainable energy technologies.
The doctoral project will develop multiscale simulation methods that combine atomistic simulations, molecular dynamics, delocalized kinetic Monte Carlo, and machine-learning acceleration. Research topics include electronic charge transport, ion motion, morphology–transport relationships, rare-event sampling, and implementation on high-performance computing infrastructure. The work is highly interdisciplinary and connects physics, materials science, scientific programming, and energy devices such as organic batteries, mixed ionic-electronic conductors, and electrochemical devices.
Eligibility requires a Master’s degree in Applied Physics, Materials Science, or a related field, or equivalent preparation through at least 240 credits with 60 advanced credits in a relevant area. Helpful experience includes C++, Fortran, scientific machine learning, Monte Carlo methods, and molecular dynamics. The university emphasizes problem-solving ability, teamwork in an international environment, and strong communication skills.
This is a doctoral student employment rather than a scholarship. Salary follows local doctoral salary progression. The appointment is normally four years full-time, with possible extension up to five years depending on teaching and institutional duties. Benefits include paid vacation, access to the Swedish health-care system, parental leave, and pension accrual.
The position is connected to the Wallenberg Initiative Materials Science for Sustainability (WISE) and the WISE Research School. The start date is Winter 2026/2027 or by agreement. The application deadline is 2026-11-13. Applicants should use the online application portal via the Apply button on the job page.
Funding details
Doctoral student employment with salary determined by locally negotiated salary progression. The position is normally four years full-time, with possible extension up to five years depending on teaching and institutional duties. Employment includes paid vacation, free access to the Swedish health-care system, paid parental leave, and pension accrual.
What's required
Master’s level degree in (Applied) Physics, Materials Science, or a related field, or completion of at least 240 credits with at least 60 advanced credits in a relevant area, or equivalent knowledge. Strong interest in interdisciplinary research at the interface of physics, materials science, scientific programming, and energy technologies is expected. Experience with scientific programming in C++, Fortran, or related languages, scientific machine learning, Monte Carlo simulations, or molecular dynamics simulations is considered an advantage. Candidates should have strong problem-solving skills, work well in a multidisciplinary and international team, and have excellent communication abilities.
How to apply
Apply through the university’s online application portal using the Apply button on the job page. Submit the application before 2026-11-13 and ensure all required documents are included.
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