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Kasper Tolborg

1 week ago

PhD and Postdoc Positions in Computational Materials Chemistry and Solid Electrolytes at Aalborg University Aalborg University in Denmark

Degree Level

PhD, Postdoc

Field of study

Chemistry

Funding

Full funding available

Deadline

December 31, 2026
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Country

Denmark

University

Aalborg University

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Where to contact

Official Email

Keywords

Chemistry
Chemical Engineering
Materials Science
Density Functional Theory
Batteries
Computational Materials
Physics
Machine learning

About this position

Two fully funded positions (PhD and Postdoc) are available in the computational materials chemistry group led by Assistant Professor Kasper Tolborg at Aalborg University, Denmark. The research focuses on the design and discovery of next-generation solid electrolytes for batteries, leveraging computational chemistry, machine learning, and experimental validation. The projects are part of the Villum Young Investigator project, "Entropy in materials design: Accelerated discovery of disordered solid electrolytes," and aim to develop computational methods to predict materials with tailored disorder and apply these to solid-state battery technologies.

The postdoc position is computational, involving density functional theory (DFT) calculations, machine learning, and collaboration with Associate Professor Alex Ganose at Imperial College London, including a potential exchange stay. The PhD position integrates computational predictions and experimental work, including solid-state synthesis and materials characterization. Both positions are based in the Department of Chemistry and Bioscience, which offers state-of-the-art infrastructure and a dynamic, interdisciplinary environment.

Applicants for the postdoc must hold a PhD in chemistry, materials science, physics, nanoscience, or a closely related field, with experience in computational materials science, DFT, machine learning, and scientific programming. The PhD position requires a master's degree in a relevant field, or enrollment in a master's program for the integrated PhD. Experience with machine learning, DFT, molecular dynamics, and experimental techniques is advantageous. Excellent English skills and a collaborative spirit are essential for both roles.

Both positions are fully funded under Danish university regulations, with competitive salaries and benefits. The application deadline is 21 April 2026. Applications must be submitted via Aalborg University's recruitment system, with all required documents. For more information, see the official job advertisements or contact Kasper Tolborg at [email protected].

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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