19 machine-learning PhD positions at NTNU Norwegian University of Science and Technology in Norway
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systems. Design and write efficient computational code to integrate path sampling simulation techniques with novel parallelization methods. Develop and apply machine learning algorithms to further speed up
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-Computer Interaction (HCI), Human-Centred Computing or alike. You must have a Master's degree in Computer Science or equivalent education (with a focus on interaction design, HCI, wearable computing
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optimization. knowledge of data analysis, including statistics, and machine learning techniques. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: and willingly
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% statutory contribution to the State Pension Fund is deducted from the salary. The employment period is 3 years. If learning Norwegian (level A2 corresponding to at least 15 credits) is to be completed before
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the boundaries of engineering with ever larger machines designed to operate autonomously in harsh conditions. As the turbines and floating platforms increase in size, combined with the push to reduce the material
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period is 3 years. If learning Norwegian, level A2 (corresponding to at least 15 credits) is to be completed before the end of the employment period. The employment period can be extended by 10 weeks after
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analysis, including statistics, and machine learning techniques Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: and willingly conduct research in a
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and enablers to effective collaboration develop and apply quantitative methodologies (e.g., machine learning, neural activity modeling, decision analysis) to create decision-support tools and adaptive
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for Energy Technology, IFE). Duties of the position Carry out research of high quality within the scope described above. Develop mathematical models and computer code for optimization and simulation of energy