Umeå University in Sweden is inviting applications for a two-year postdoctoral scholarship in AI-driven computational biology, focusing on the century-scale growth and reproduction of red coralline algae. This international project, based at the Department of Ecology and Environmental Science and Umeå Marine Sciences Centre, leverages advanced imaging and artificial intelligence techniques to reconstruct life histories and forecast future reef development, contributing to global conservation policy. The research is supported by the Carl Tryggers Foundation and involves close collaboration with Sookmyung Women’s University in South Korea, including expected research visits.

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 project is ideal for candidates with a strong background in programming (Python, MATLAB), AI-driven image analysis, and a keen interest in environmental sustainability and marine structural biology. Essential qualifications include a completed doctoral degree (or equivalent), excellent English proficiency, and experience in relevant computational techniques. Additional merits include experience with tomography imaging (µCT), biomineralization, deep learning frameworks (pyTorch, TensorFlow), high-performance computing, open-source AI models, and a proven publication record.

The scholarship offers a tax-free stipend of 30,000 SEK per month for two years, with project running costs covered by the principal investigators. Applicants should submit a cover letter, CV with publication list, verified degree certificates, academic transcripts, doctoral thesis, and contact information for two references. Applications must be submitted via Umeå University's Varbi e-recruitment system by January 7, 2026. For further details, contact Dr Heidi Burdett at [email protected].

This opportunity is ideal for postdoctoral researchers seeking to advance their expertise at the intersection of computational biology, marine science, and artificial intelligence, with strong international collaboration and impactful research on climate change and conservation.