Umeå University in Sweden is offering a two-year postdoctoral scholarship in AI-driven computational biology, focusing on advanced biological data analysis using artificial intelligence and machine learning. The research will be conducted within the Department of Ecology and Environmental Science, with additional affiliation to the Umeå Marine Sciences Centre and collaboration with Sookmyung Women’s University in South Korea. The project investigates the century-scale growth and reproduction of red coralline algae, utilizing cutting-edge imaging and AI-driven analysis to reconstruct life histories and forecast future reef development, contributing to global conservation policy.

The successful candidate will join a multidisciplinary team with expertise in algal ecology, physiology, generative models, AI-based image super-resolution, and 3D reconstruction. The research environment is highly collaborative and international, offering opportunities for interdisciplinary work and travel for collaborative research visits.

Applicants must hold a doctoral degree (or equivalent) in a relevant field, preferably completed within the last three years, though exceptions for special circumstances are considered. Essential qualifications include programming experience (Python, MATLAB), expertise in AI-driven image processing, and excellent English proficiency. Meriting criteria include experience with tomography imaging, background in biomineralization or structural biology, prior work with deep learning frameworks, a strong publication record, familiarity with high-performance computing, and use of open-source AI models. Interest in international collaboration is highly valued.

The scholarship is funded by the Carl Tryggers Foundation, providing a tax-free stipend of 30,000 SEK per month for two years. Project running costs are covered by the principal investigators. The application deadline is January 7, 2026, and the start date is February 2026 or by agreement. Applications should include a cover letter, CV with publication list, verified degree certificates, academic transcripts, doctoral thesis, and contact details for two references, submitted via Umeå University’s Varbi e-recruitment system.

Joint supervision will be provided by Dr Heidi Burdett (Umeå University) and Prof. Eunju Cha (Sookmyung Women’s University). For further details, applicants may contact Dr Heidi Burdett at [email protected].