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Postdoc position in molecular modelling of self- ... (1 reply)

cz302
4 years ago
cz302 4 years ago

Position description:

This postdoc position will initiate our efforts within a long-term project and the emphasis will be on developing and applying physics-based and data-driven materials modelling approaches for functional polymeric materials and associated battery interfaces. An important part of the work will therefore be to provide the synergy to the ongoing synthesis and characterization works of relevant materials systems in the same direction. The position will involve a high level of scientific independence and you will be given the opportunity to shape the development of this project.

Requirements: 

For employment as postdoc, the applicant should have obtained a PhD or an international equivalent degree within the field of polymer chemistry or other for the position relevant field, within a maximum of three (3) years before the final application date. During certain circumstances, an earlier PhD can be acceptable, including leave due to illness, maternity leave etc.

Applicants should have a good knowledge and practical experience of molecular modelling methods such as density functional theory (DFT) and molecular dynamics (MD) simulations of condensed phase systems. Applicants should have very good oral and written proficiency in English. Experience in developing/applying machine learning (ML) techniques for modelling energy storage materials will be a big plus.

Starting date: 2020-10-01 or later

Last application date: 2020-08-31

For further information about the position please contact:
Chao Zhang, +46 18 471 37 21, [email protected]
Kristina Edström, +46 18 471 37 13, [email protected]

cz302
4 years ago
cz302 4 years ago



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Ab initio (from electronic structure) calculation of complex processes in materials