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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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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims to investigate flow-induced forces in hydraulic turbines under varying operational conditions and how...
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
. This PhD project aims to close that gap by developing a rigorous mathematical framework to analyze and explain transformers using information-theoretic tools. You will be co-supervised by: Research
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We are looking for a highly motivated and skilled PhD student with expertise in computational hydrodynamics and structural analysis, and a genuine interest in conducting research on hydrofoil craft to improve the safety of these vessels. About us The Division of Marine Technology , part of the...
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Team up with up to 3 fellow Ph.D. students in the DSP-assisted Wideband & Efficient Transceivers (SWEET) project which is part of the WiTECH center to perform cutting-edge multi-disciplinary research in system and circuit design for next generation wideband radio frontends. The position allows...
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, Culture and Communication (UKK) our students mainly study programmes relating to teacher education, but we also offer programmes and courses in languages and communication, mathematics/applied mathematics
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, Culture and Communication (UKK) our students mainly study programmes relating to teacher education, but we also offer programmes and courses in languages and communication, mathematics/applied mathematics
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. Read more: https://wasp-sweden.org/graduate-school/ . Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240
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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
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. The research tasks require a solid mathematical background with experimental capabilities and excellent programming skills (e.g. Matlab etc.) You should have a strong vision to evaluate and demonstrate