AI driven Computational Biology PhD Fellowship 2026 is an exciting opportunity for ambitious researchers ready to explore cutting-edge innovations in computational science and biotechnology. Designed for the 2026/2027 academic year, this fellowship supports exceptional candidates who want to contribute to the rapidly evolving field of AI-powered biological research.
Applicants are expected to demonstrate strong academic potential, meet all admission requirements, and show a genuine commitment to advancing scientific discovery. This fellowship is ideal for students who aim to deepen their expertise, pursue impactful research, and join a program that values innovation, dedication, and meaningful academic growth.
Benefits of AI driven Computational Biology PhD Fellowship 2026
- Full-time scholarship for two years, start February 2026 or by agreement
- Monthly tax-free stipend of 30,000 SEK awarded by Carl Tryggers Foundation
- Collaborative research environment at Umeå University Marine Sciences Centre and Sookmyung Women’s University, South Korea
- Access to multidisciplinary expert support and cutting-edge imaging and AI technologies
Eligibility Criteria for the AI driven Computational Biology PhD Fellowship 2026
- Eligible Countries: All countries
- Acceptable Course or Subjects: Applicants should hold a doctoral degree primarily focused on computed tomography, image analysis, or similar areas relevant to the scholarship’s research aims.
- Admissible Criteria:
- PhD completed or equivalent degree expected before decision
- Preferably PhD awarded within last 3 years, with allowances for special circumstances (illness, parental leave, etc.)
- Demonstrated programming skills (Python, MATLAB)
- Knowledge and experience with AI-driven image processing
- Excellent English proficiency (oral and written)
- Meriting factors include experience in tomography (µCT), biomineralization or structural biology background, deep learning framework experience, publication record, familiarity with HPC and open-source AI tools, and international collaboration willingness.
How to Apply for the AI Driven Computational Biology PhD Fellowship 2026?
- Review the full eligibility criteria and project description to confirm you meet the requirements.
- Prepare all required documents, including your CV, academic transcripts, and a concise statement of research interest.
- Clearly highlight your experience in computational biology, AI methods, and related research skills in your application materials.
- Write a focused motivation letter explaining why you are a strong fit for the fellowship and how your background aligns with the project goals.
- Gather contact details for your referees and inform them in advance so they are ready to provide recommendations if requested.
- Double-check every document for accuracy, clarity, and completeness before submission.
- Submit your full application through the official application portal by the listed deadline.
Frequently Asked Questions (FAQ)
AI driven Computational Biology PhD Fellowship 2026 is offers a two-year, full-time, tax-free scholarship starting February 2026. It’s for PhD holders with image analysis or tomography background. Successful candidates will use AI and imaging to study red coralline algae life histories. Monthly stipend is 30,000 SEK and application closes 7 Jan 2026.
What is the “AI-driven Computational Biology” AI driven Computational Biology PhD Fellowship 2026 about?
AI driven Computational Biology PhD Fellowship 2026 is a two-year postdoctoral scholarship at the Department of Ecology and Environmental Science focusing on marine structural biology. The project uses advanced imaging and AI-driven analysis to study growth and reproduction of red coralline algae — to reconstruct their life histories and forecast future reef development.
Who is offering this AI driven Computational Biology PhD Fellowship 2026?
AI driven Computational Biology PhD Fellowship 2026 is offered by the Department of Ecology and Environmental Science at Umeå University, in collaboration with the Umeå Marine Sciences Centre and a partner institution abroad. It brings together experts in algal ecology, physiology, imaging, and AI-based reconstruction.
What is the duration and start date of the AI driven Computational Biology PhD Fellowship 2026?
AI driven Computational Biology PhD Fellowship 2026 lasts for two years full-time. The intended start date is February 2026, though it can also begin by agreement.
What is the application deadline?
Applications must be submitted by 7 January 2026, before 23:59 (local time).
What qualifications are required to apply?
What skills or experience are essential?
Applicants need solid programming skills (e.g., Python or MATLAB), theoretical and practical experience in AI-driven image processing, and proficiency in oral and written English.
Which experiences or backgrounds are particularly meriting?
Having experience with µCT or other tomography imaging, structural biology or biomineralization, a publication record in relevant fields, familiarity with deep learning frameworks (e.g. PyTorch / TensorFlow), HPC environments, and open-source model usage are advantageous.
What is the financial support for the scholarship?
AI driven Computational Biology PhD Fellowship 2026 provides a tax-free scholarship of 30,000 SEK per month. Project running costs are covered by the principal investigators.
What kinds of research activities will the fellow engage in?
AI driven Computational Biology PhD Fellowship 2026 will apply AI-driven image analysis and 3D reconstruction techniques to investigate century-scale growth and life history of red coralline algae, contributing both to biology and conservation policy insights.
How should one apply and what documents are needed?
Applicants must submit their application via the university’s recruitment system. Documents include a cover letter (max 2 pages), CV with publications, verified doctoral degree certificate (or proof of expected completion), diplomas and transcripts, copy of doctoral thesis, and contact info for two references.
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