Summer Sale

Up to 30% off — ends 2 Aug

ONLY00h00m00s

Publisher
source

Umeå University

Postdoctoral Scholarship in AI-Driven Computational Biology at Umeå University Umeå University in Sweden

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Expired

Country flag

Country

Sweden

University

Umeå University

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Meet Kite AI

Suggested scholarships

Keywords

Computer Science
Machine Learning
Environmental Science
Deep Learning
Biology
Structural Biology
Artificial Intelligence
Computational Biology
Algal Biology
Environmental Sustainability
Image Analysis
High-performance Computer

About this position

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].

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors