10 phd-computer-science-fully-funded Postdoctoral positions at Linköping University in Sweden
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into consideration. The area of the PhD degree is expected to be computer science but related topic areas in the engineering or mathematics fields can be considered together with extensive experience in software
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conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
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– then these may be taken into consideration. We are looking for someone with a PhD in computer science or related areas. The candidate has a strong research record with publications in top-tier
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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into consideration. We are looking for a candidate with a PhD in Electrical Engineering, Engineering Physics, Mathematics, Computer Science, or a related field, with expertise in programming, physical modeling
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. The applicant should have a PhD in materials science, chemistry, physics, chemical engineering, or a related field. The following qualifications are considered particularly meritorious: experience in processing
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a doctoral degree in Condensed Matter Physics, Materials Science, Chemical Engineering, or a closely related field. Specific entry requirements include: Demonstrated hands-on experience with ultra
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scientific backgrounds. LOE offers state-of-the-art infrastructure, including cleanroom facilities, advanced chemistry laboratories, biolabs, and photonics laboratories (see: https://liu.se/en/research
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for candidates with a Ph.D. in Electrical Engineering or equivalent, a strong mathematical background and a strong publication record in journals relevant to the research field. As the university operates in
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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials