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in large language models for healthcare research, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable
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University Duties This PhD project is part of the AFLOW consortium supported by the Swedish Energy Agency and focuses on multi-scale modelling of aqueous organic redox flow batteries, to build a predictive
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transport in solid‑state polymer electrolytes for Li‑ion batteries. The research will focus on developing new and computationally efficient strategies for multiscale modelling, enabling systematic studies
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impurities (e.g. Ca²⁺, Mg²⁺, Al³⁺, F⁻, Fe³⁺) while minimizing co-precipitation of valuable transition metals (Ni, Co, Mn). The project combines experimental studies, thermodynamic/speciation modeling, and
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, comparing it with other drug classes and countries. Applying a mixed-method approach, the project integrates qualitative case studies with quantitative Social Network Analysis, simulations (Agent-Based Models
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, electrode fabrication, electrochemical testing, and data-driven modelling to correlate synthesis parameters with material performance. The doctoral student is expected to actively participate in project
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application by 23 February 2026, UFV-PA UFV-PA 2026/149 The application should include a CV, a letter of intent describing your research interests and match for the position, copies of diplomas and grades, a