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mathematics, statistics, computing, or biology. Applicants with a strong quantitative (particularly applied statistics) or computer programming background, combined with marine biology, will be favoured
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) Demonstrated programming skills in C/C++, Python, R or comparable languages. Experience with AI-based coding tools such as Claude Code, Codex or Cursor. Evidence of research productivity through publications
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-economic forecasting Proficiency in scientific programming (preferably Julia, Python or Matlab) Competence in data analysis and probabilistic modelling techniques Experience with energy modelling
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, biostatistics, data science, computer science, bioinformatics or a closely related discipline strong programming skills in R or Python experience developing or applying methods to complex or large-scale
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applying AI or machine learning to scientific problems, with proficiency in Python or equivalent programming tools. experience in experimental design and validating computational predictions against
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computation and scientific programming a strong research record and excellent communication and collaboration skills How to Apply Applicants are required to submit three documents as part of their application