The Department of Physics at Umeå University is looking for a PhD student in computational physics for a project aimed at physics-based modeling and numerical methods for machine perception in unstructured environments. Application deadline is 31 January 2019. The position will open in 1 March 2019 (exact start date can be negotiated).
Application, Contact: Martin Servin
The selected candidate will work with computational modeling and simulation of granular materials in combination with machine learning in order to find new methods of perception in unstructured environments with mechanical manipulators. Synthetic sensor data from large set of scenarios can be produced using virtual environments based on digital physics. This provide data for training models for machine perception, capable of not only detecting objects but also learn about their physical nature, relevant for manipulator control. Challenges in machine perception include creating generic models, easy to adapt for specific domains. Including physics in the training data is considered to be a key factor. The candidate will participate in the research project "Machine perception for smart and automated forest operations" within the research program Mistra Digital Forest, work at UMIT Research Lab and collaborate with various research groups and industry parties.
The employment is expected to result in a doctoral degree and the main assignment for the doctoral student is thus to be active in research, study doctoral courses, and possibly participate in teaching of courses at undergraduate level. Financing time is limited to four years full time. Teaching and other departmental work (up to a maximum of 20%) can be included. The employment is limited to four years at full time or up to five years if teaching and other departmental work is performed. The salary is fixed according to the established salary level for doctoral students.
The successful candidate should hold a master degree (or equivalent) in physics or engineering physics. Applicants should have knowledge of computational physics or computational modeling and programming skills in C++ or Python. Experience of high-performance computing, multi-body and particle dynamics as well as machine learning will be seen as an advantage. The candidate must be highly motivated and have the ability to work independently as well as a part of the research group. The applicant is required to be fluent in both oral and written English.
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