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We are looking for mentors and exercise class leaders/teaching assistants for our introductory courses in mathematics and computational programming. The Centre for Mathematical Sciences has
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences . The Centre for Mathematical Sciences is an
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at the intersection of numerical analysis and scientific machine learning, focusing on the development of reliable, physics-aware AI frameworks. The aim is to build a mathematically grounded approach for approximating
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, mathematics, physical geography, and physics. The Faculty of Science is located in the northern part of the University campus. We have around 1,500 students, 360 doctoral students and 700 staff. Our departments
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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human...
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Engineering, Electrical Engineering, Information and Communication Technology, Engineering Physics or Engineering Mathematics. Additional requirements In order to complete the doctoral programme in question
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)? The study of the potential and limits of efficient computation is about foundational, mathematical, research, but research results in computational complexity theory have had major impact in other areas
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to cooperate. Additional merits for the position: Previous teaching experience, especially in control. Completed or ongoing advanced courses in control engineering or related mathematical and systems engineering
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or Mathematics with the research profile in Statistics and Data Science, or a PhD degree in Applied Mathematics or Computer Science that is accompanied by the main research profile in Data Science. Very good oral
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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
creativity and a high degree of expertise in the field, for example in clinical medicine, epidemiology, bioinformatics or mathematical modelling including handling of large-scale data sets. We expect