69 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" positions at Chalmers University of Technology
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motivated Doctoral candidates who want to enter a doctoral program at the forefront of science. Our Doctoral students develop abilities to plan, perform, critically review, and present their research
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Profile Recognised Researcher (R2) Country Sweden Application Deadline 15 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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nanoscience and nanotechnology. The selected candidates are awarded with a PhD position, which they can place at any Nano research group at Chalmers and with which they coordinate their specific PhD program
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Bachelor’s degree is accepted. The following experience will strengthen your application: Experience in some of the following areas: programming, optimization. What you will do Take courses at an advanced
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geometry, computational methods for stochastic (partial) differential equations, random fields, programming, mathematical statistics. What you will do Take courses at an advanced level within the Graduate
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made Solid background in mathematics, physics and programming Experience in processing or analysis of synthetic aperture radar data You will need strong written and verbal communication skills in English
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ICSE, SPLC, and ICSA during the past recent years. About the research project As a postdoc, you will conduct original research in the area of AI-based program construction or performance engineering, co
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computational modelling and electronic-structure methods. Experience in programming and machine learning What you will do Take courses at an advanced level within the Graduate school of Physics orMaterials
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disciplines. You will need strong written and verbal communication skills in English Good skills in programming (e.g. Matlab, Python, C/C++) *for students with an education earned outside of Sweden, a 4-year
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concepts in device physics. About the research project BUG-ID is a Marie Skłodowska-Curie Action Doctoral Network (DN), funded by the European Commission, Horizon Europe Program. The World Health