145 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Chalmers University of Technology
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chemistry, and nanoscience, as well as learn how to effectively communicate across disciplinary boundaries. Who we are looking for To qualify as a Doctoral student, you must have a Master's degree
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position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per month (valid from May 25, 2025
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sector and within a European project. Contract terms The Doctoral student positions are fully funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up
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are fully funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per
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Research. The research group has to approve the placement. The Doctoral student positions are fully funded from start. The position is a fixed-term appointment of four years, with the possibility to teach
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Communication at the Department of Communication and Learning in Science, and a member of our graduate school Communication and Learning in STEM. The division’s research is situated at the intersection
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the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per month (valid from May 25, 2025). Doctoral studies require physical presence throughout the entire
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are fully funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per
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will (micro-)benchmark Java-based applications using JMH. You will collect performance measurements from real projects, statistically analyse them, and conduct experiments with modern machine learning
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communications theory methods Applying optimization techniques and machine learning/AI approaches Conducting simulations and experimental validations Collaborating with Ericsson and Chalmers researchers Publishing