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PhD scholarship within machine-learning and comp ... (No replies)
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A three-year PhD scholarship on computational design of thermoelectric materials is vacant in the material theory group of Assoc. Prof. Kristian Berland at the Norwegian University of Life Sciences (NMBU). The project is part of a strategic initiative to link research activity at the REALTEK faculty with the strong and growing data science environment.
The project will combine high-throughput density functional theory calculations with machine-learning methods to accelerate the design and assessment of thermoelectric materials.
The student will benefit from co-supervision by Prof O.M Løvvik at SINTEF/University of Oslo. The project will also involve a collaboration with the group of Prof. G. Madsen group in TU Wien with possibilities for an extended research visit in the Madsen group.
Tasks include: Implementation of computational methodology to evaluate thermoelectric properties. Theoretical analysis of material properties. High-throughput density functional theory calculations. Use of machine learning techniques.
For more information see full description at
https://www.jobbnorge.no/en/available-jobs/job/168812/phd-scholarship-within-machine-learning-and-computational-design-of-thermoelectric-materials