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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 Mathematics Centre has approximately 150 employees, including researchers, teachers, and doctoral students. The department offers education and research in a wide range
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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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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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point of view, high-level system design relies heavily on analytical skills, including mathematics, optimization and probability theory, combined with a solid understanding of how performance and
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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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Engineering, Computer Science, Electrical Engineering, Engineering Mathematics, Nanoengineering, Engineering Physics or Information and Communication Engineering. Additional requirements: Very good oral and
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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