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Research Scientist in Disordered Solid Electrolytes
1 week ago
We are seeking a highly motivated researcher to join our team as a PhD student in computational materials chemistry. The successful candidate will be part of a young and dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning.
About the TeamThe research group is led by Tenure-Track Assistant Professor, Kasper Tolborg, within the Section of Disordered Materials. The group offers a dynamic work environment and facilitates interdisciplinary collaborations.
Responsibilities- Developing methods combining density functional theory calculations with machine learning to predict finite temperature stability of materials.
- Applying these methods to design disordered solid electrolytes in collaboration with other team members.
- Working closely with the research group to achieve project goals.
- A master's degree in chemistry, chemical engineering, materials science, physics, nanoscience, or a closely related field.
- Strong competence in materials chemistry and excellent analytical skills.
- Proficiency in scientific programming (e.g. in python).
- Excellent oral and written English language skills.
