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Post doc position in Machine learning applied to surface structure determination using density functional theory 854157

A post doc position is available in the theoretical surface science group at Department of Physics and Astronomy at Aarhus University. The successful candidate will introduce and optimize the use of machine learning techniques in connection with computational modeling of the atomic structure of surfaces of crystals and nanoparticles. The surface science group has considerable experience using evolutionary algorithms and is now seeking to extend these competences further by introducing other machine learning techniques such as supervised learning. The ultimate aim is to construct strategies for computer codes that can identify the thermodynamically most stable structures of crystals and nanoparticles under given environmental conditions. Such structures will be compared with experimental information and be used as templates for simulation of chemical reactions of interest in the field of heterogeneous catalysis. The successful candidate must document experience at the highest level within machine learning and/or density functional theory of surface science and catalysis.

Applicants for the post doc position must have a Ph.D. in physics, chemistry, nanoscience, or computer science. The starting date is expected to be in the fall of 2016, but the exact date is negotiable. Funding is available for 1 years of employment. In case further external funding is secured within the academic area the candidate is assessed obviously qualified for, an extension is possible.

Place of work and area of employment
The place of work is Ny Munkegade 120, DK-8000 Aarhus, and the area of employment is Aarhus University with related departments.

Questions regarding this job offer should be directed to Professor Bjørk Hammer hammer@phys.au.dk.
Application procedure
Short-listing is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment committee if necessary, – the head of department selects the candidates to be evaluated. All applicants will be notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants, including the main considerations emphasized during the selection process.
Formalities and salary range
Science and Technology refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation.
The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here.
Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities. (in Danish).
Salary depends on seniority as agreed between the Danish Ministry of Finance and the Confederation of Professional Associations.
All interested candidates are encouraged to apply, regardless of their personal background.

Ansøgningsfrist

Alle ansøgninger skal være lavet online og modtaget senest:

15.01.2017
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