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research combines large, (longitudinal) quantitative (internationally-comparative) surveys, qualitative interviews, and experimental studies. The core tasks will include: Carrying out research within
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demonstrated in a developing and promising publication record. Experience with research-led teaching is considered an asset. Demonstrable passion for education, both inside and outside the classroom. Commitment
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chemistry, or a closely related subject is required for this project. You have to enjoy working with optics and ultrafast lasers and have some affinity with electronics. If you have experience with one
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R or Python). Good-to-have: You have experience working with large-scale text or visual data, or datasets related to history or culture. You tackle complex data challenges with curiosity and are
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computing; The ability to think outside the box and explore new avenues, with natural curiosity and a passion for new subjects and research areas; Experience with one or more general purpose programming
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application via the 'Apply now' button below before February 16, 2026, and include: CV (including publication list) A cover letter highlighting your experience with time-series sensor data and distributed and
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging