Researcher in in the generation and analysis of quantum-mechanical and dynamical simulation data for battery-relevant materials (BIG-MAP)
The deadline for applying to this position has passed.
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The Department of Chemistry - Ångström conducts research and education in the chemistry field. The department has more than 250 employees and has a turnover of 250 million SEK. At the department's six programs, we conduct very successful research of a high international standard. We have a large number of externally funded research projects, often with international cooperation and we see continued good growth in our subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website.
Project description: The Battery Interface Genome – Materials Acceleration Platform (BIG-MAP) project (http://www.big-map.eu) is a consortium of 34 academic and industrial partner groups funded by the European Commission. The announced position is part of BIG-MAP and will be placed at the Department of Chemistry at the Ångström Laboratory of Uppsala University. The host group (http://www.teoroo.kemi.uu.se/) collaborates with the Karlsruher Institut für Technologie (KIT) and École polytechnique Fédérale de Lausanne (EPFL) on multiscale modelling workflows and interoperability and the with University of Cambridge and the University of Vienna on the development of machine-learning (ML) potentials and property prediction of battery materials and molecules.
Duties: The main focus of the current research project is the exploration and assessment of interaction models at different computational levels for the creation of ML-training sets of such validated QM –and AIMD– data, and simulations and data analysis of battery-relevant systems to learn about their properties in solution and at solid-liquid interfaced consistent with the goals of the BIG-MAP project.
Requirements: The applicant is expected to (i) have a solid background in quantum chemistry modelling of both materials and molecules, (ii) have experience with MD simulations (preferably also AIMD), and (iii) possess excellent working skills in programming/ scripting and data handling. Some familiarity with the application of machine learning to scientific problems is a merit.
Consideration will also be given to how the applicant’s experience and skills complement and strengthen the BIG-MAP team as well as the ongoing research within the research group. Very good knowledge of written and spoken English and good collaborative skills, drive and independence are also expected.
For the right candidate there may be a possibility for continuation after the one-year project.
Application procedure: The application should include a statement of research interest, CV, certificates of exams, degrees and grades, a copy of Master thesis, published article or relevant materials, if available. Also, contact information of at least two reference persons should be included.
Salary: Individual pay.
Starting date: 01-02-2022 or as otherwise agreed.
Type of employment: Temporary full-time position ending 31-01-2023.
Scope of employment: 100 %
For further information about the position, please contact: Professor Kersti Hermansson (+46-18-4713767 or 070-4250626. email@example.com).
Please submit your application by 24 January 2022, UFV-PA 2021/5101.
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Placement: Department of Chemistry - Ångström Laboratory
Type of employment: Full time , Temporary position longer than 6 months
Pay: Individual pay
Number of positions: 1
Working hours: 100 %
County: Uppsala län
Number of reference: UFV-PA 2021/5101
Last application date: 2022-01-24
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