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Uppsala University
6 days ago
Postdoctoral Position in Computational Materials Chemistry Uppsala University in Sweden
Degree Level
Postdoc
Field of study
Chemistry
Funding
Funded by the Swedish Energy Agency; temporary full-time postdoctoral employment for 2 years.
Deadline
Nov 30, 2026
Country
Sweden
University
Uppsala University
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About this position
This postdoctoral project in computational materials chemistry focuses on understanding and improving ion transport in ceramic-polymer composite electrolytes for solid-state batteries. The researcher will develop and apply computationally efficient multiscale models to study transport across and within different material phases, with particular attention to the role of interphases in ionic conduction.
The work combines statistical thermodynamics and probability-based dynamical approaches such as molecular dynamics and kinetic Monte Carlo, alongside atomistic simulations and experimental data used for model development and validation. A key aim is to provide guidelines for designing materials with improved ionic conductivity.
The project is hosted by the Structural Chemistry research programme at Uppsala University, within an environment that includes Computational Materials Chemistry and the Ångström Advanced Battery Centre (ÅABC). The postdoctoral researcher will be an active member of both research environments, benefiting from a strong battery and chemistry research setting in the Department of Chemistry – Ångström.
The position is carried out in collaboration with LEPMI at Grenoble INP in France and includes a regular research stay there of approximately two months per year, supporting an international and collaborative research experience.
Funding details
Funded by the Swedish Energy Agency; temporary full-time postdoctoral employment for 2 years.
What's required
Applicants must have a PhD degree or international equivalent in Chemistry, Physics, Materials Science, or another relevant field, earned within a maximum of three years before the final application date, although earlier PhDs may be accepted in certain documented circumstances. Candidates should have very good written and spoken English, a solid background in computational chemistry methods across multiple length and time scales including dynamical simulations, and a strong foundation in statistical thermodynamics. Experience collaborating with experimental researchers, team-building ability, leadership skills supporting supervision of PhD and master's students, and clear oral and written scientific communication are required. Additional merit is given to experience in method development, modelling of materials, transport mechanisms and interphases, as well as programming skills and machine learning experience.
How to apply
Apply through the Varbi application portal using the advertised job link. Answer the application questions in place of a cover letter and submit the requested materials before the deadline.
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