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on theoretical and experimental subatomic physics, mathematical and high-energy physics, plasma and fusion physics, as well as nuclear physics. This diversity of research topics allows us to connect fundamental
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, collaborating with leading experts in AI, mathematics, orthopaedics, and physiotherapy, with direct impact on patient care. About the research project This position is hosted in the Polster Lab at the Division
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, innovative technologies for biomass conversion, neural network systems, and artificial intelligence for more efficient mathematical and computational approaches. Subject description The work focuses on
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To qualify for the position, you must hold a doctoral degree awarded no more than three years prior to the application deadline* in Mechanical Engineering, Mathematics, Physics, Computer Science, or a closely
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motivated and skilled researcher who has: A PhD in chemistry, chemical engineering, chemical physics, or materials science (awarded no more than three years prior to the application deadline*) Expertise in
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related fields. Experience in Machine Learning/AI, mathematical, computational and statistical training are also advantageous. About the employment The employment is a temporary position of two years
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research on theoretical and experimental subatomic physics, mathematical and high-energy physics, plasma and fusion physics, as well as nuclear physics. This diversity of research topics allows us to connect
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visualization and visual analytics is a strong advantage. Good programming skills (Java, JavaScript, HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, and machine learning are highly
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distributed acoustic sensing, aiming to establish a solid physics-based foundation for seismic monitoring using existing telecom infrastructure. Who we are looking for Mandatory qualifications PhD degree in
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19 Sep 2025 Job Information Organisation/Company Lunds universitet Department Lunds universitet, MAX IV, MX Research Field Physics Researcher Profile First Stage Researcher (R1) Country Sweden