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degree is accepted. Excellent grades in computer networks, distributed systems, or cybersecurity courses Strong programming language skills Strong written and verbal communication skills in English The
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and programming in Python Be proficient in English (spoken and written) Be willing to learn Swedish within two years if not already proficient (courses are offered at Chalmers). Contract terms Full-time
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statistical physics/complex systems. The research activity of the local academic staff is supplemented by Nordita Scientific Programs, which bring together groups of leading experts to work on specific topics
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performance are expected. Required qualifications: Proficiency in programming (primarily Python or MATLAB) Strong communication and collaboration skills, including the ability to work across research groups and
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ECTS relevant to the doctoral thesis project. Out of this, at least 30 ECTS have to be in a subject closely related to the research topic of the graduate program. Applicants who have acquired equivalent
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conferences, and publication of scientific papers is expected. As a PhD student you will take compulsory and elective doctoral courses, gradually plan and execute your research project with increasing
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interdisciplinary group; good analytical and experimental skills; an excellent ability to work independently toward the goals expressed in the project plan; good oral and written English skills. Furthermore, as the
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, Rural Development and Landscape Architecture, and an undergraduate political science programme in Sustainable Development. The last is a collaboration with the Department of Economics, with whom we also
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complete the doctoral programme. In the assessment process, particular emphasis will be placed on the candidate’s motivation, potential to carry out doctoral studies, and the breadth and composition
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image