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KTH Royal Institute of Technology, School of Engineering Sciences Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a
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, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories. This postdoctoral position is
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science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python
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in English Experience in mixed-method analysis, ie. both qualitative and quantitative analysis Ability to work both independently and in interdisciplinary research teams You are expected to be somewhat
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related field. This eligibility requirement must be met no later than the time the employment decision is made. Strong research experience in AI, machine learning and optimization with publications in top
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lead to attractive future job opportunities in academia or industry. Being part of this research project gives you the one-of-a-kind experience in form of doing experiments at the world´s first 4th
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the Swedish original, the Swedish version shall take precedent. We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving
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transport safety, human factors, or rehabilitation engineering. Experience with motion capture or experimental data collection involving human subjects. What you will do Adapt and extend state-of-the-art
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accustomed to teaching, and to demonstrate good potential within research and education. The following experience will strengthen your application: We expect you to have documented expertise in one or more of
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or senior staff scientist. More information: https://www.scilifelab.se/researchers/simon-koplev/ Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement