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qualifications: To be eligible for this position, you must have (or be close to completing) a Master’s degree corresponding to at least 240 higher education credits in Applied Mathematics, Applied Physics
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240 higher education credits in Applied Mathematics, Applied Physics, Electrical Engineering, Mechanical Engineering, or a related field. A strong mathematical foundation and excellent academic
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org / Your profile Required qualifications Strong background in applied mathematics, and machine learning Excellent academic
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the Swedish National Infrastructure for Computing (SNIC) and the Chalmers Centre for Computational Science and Engineering (C3SE). Learn more about the project and the research: Project overview Due
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technology, or applied mathematics, with a specialization in energy systems analysis, or energy economics. Strong written and verbal communication skills in English. The following experience will strengthen
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What does policy and practice for recruitment to university STEM (Science, Technology, Engineering, and Mathematics) education look like, and what are the consequences for equality and social
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Engineering is a joint department at Chalmers University of Technology and the University of Gothenburg. The department has around 300 employees from over 30 countries. Our research covers a wide span, from
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Countries like the USA, China, and Germany, along with companies such as IBM and Google, are racing to develop quantum computers. In Sweden, Chalmers University of Technology leads the 1.5-billion
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of about 10 percent of full time. Qualifications The applicant should have a Master's degree in Applied Mathematics, Engineering Physics, Electrical Engineering, or equivalent, with excellent knowledge
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, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance