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communication theory, array signal processing, optimization, and machine learning will likely play a vital role. The research will mainly be theoretical, but KTH has testbeds for potential experiments. However
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development to complete the required courses within two years of employment, or that they apply for validation of prior learning. For other qualification requirements, please refer to Karlstad University’s
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of prior learning. For other qualification requirements, please refer to Karlstad University’s Appointments Procedure. • Appointments Procedure at Karlstad University (pdf) The position requires a good
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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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learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide
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advanced biostatistics/machine learning analyses, but also with other types of analysis. The work involves supporting Swedish researchers under a “user fee-based” support model. The projects will differ in
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based on advanced methods in statistical modelling, machine learning (including artificial neural networks) and geographic information analysis. You will be part of two dynamic research environments
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strong culture of embracing new initiatives in education and research. Teaching includes both on-campus and distance learning courses. Research and the PhD programme in English at Karlstad University
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disciplinary boundaries. There is a strong culture of embracing new initiatives in education and research. Teaching includes both on-campus and distance learning courses. Research and the PhD programme in
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collection (experiments, surveys). Expertise in advanced machine learning techniques and large language models (LLMs) —including web scraping, text mining, and neural networks—is considered a strong merit