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English. A strong background in mathematics as well as programming skills are particularly valued. The project involves both theoretical and applied work. Your workplace The Department of Computer and
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at Master’s level in Mathematics, Computer/Data Science, Computational Science and Engineering, or a related field, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced
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strong mathematical maturity, possess excellent programming skills, and have an excellent ability to communicate in English, both orally and in writing. Furthermore, you should be able to work
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programming skills are considered an advantage. You have excellent communication skills in English, both spoken and written. Additionally, you should be able to work independently, be goal-oriented, and possess
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. You must demonstrate strong mathematical maturity and also possess good programming skills. Furthermore it is important that you have good ability to communicate in English, both orally and in writing
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inherently spatio-temporal, i.e. physical processes around us evolve over both time and space, making spatio-temporal processes and data omnipresent in science and technology, with applications ranging from
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will enhance
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, undergraduate and postgraduate education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en
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part of the ongoing transition. An excellent proficiency in both spoken and written English and Swedish is an advantage. Your workplace As a PhD-student you will be part of the Division of Energy Systems