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and supportive Laboratory of Organic Electronics (https://www.liu.se/loe ). LOE currently has >150 researchers and research students across thirteen group sharing an open lab environment for fruitful
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robustness, fairness, and accessibility. You will design and run reproducible experiments, measure relevant resource metrics, implement prototypes in Python, and communicate results through publications and
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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
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of machine learning such as robustness, fairness, and accessibility. You will design and run reproducible experiments, measure relevant resource metrics, implement prototypes in Python, and communicate results
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AI institutions in Sweden. We have strong links to prominent national research initiatives, such as DDLS , WASP and ELLIIT . You will have access to state-of-the-art computing infrastructure
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will have access to state-of-the-art computing infrastructure for machine learning, e.g. through Berzelius . The position is formally based at the Division of Statistics and Machine Learning (STIMA
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research initiatives, such as WASP and ELLIIT . You will have access to state-of-the-art computing infrastructure for machine learning, e.g. through Berzelius . The position is formally based