Summary
Join Uppsala University’s Department of Information Technology as a PhD student focused on computerized image processing and machine learning for data-driven precision medicine and diagnostics. Contribute to innovative research that aims to revolutionize cancer diagnostics and clinical decision support in a supportive and multidisciplinary environment.
PhD Scholarship Opportunity at Uppsala University, Sweden
Designation
PhD Student in Data-Driven Precision Medicine and Diagnostics
| Attribute | Details |
|---|---|
| Research Area | Machine Learning, Image Analysis, Precision Medicine |
| Location | Uppsala, Sweden |
| Type of Employment | Temporary |
| Contract Type | Full-time |
| Starting Date | 1 September 2026 or as agreed |
| Reference Number | UFV-PA 2026/1318 |
Eligibility/Qualification
- General Entry Requirements:
- Master’s degree in a relevant field (computer science, image analysis, machine learning, etc.)
- 240 credits in higher education, including at least 60 credits at Master’s level.
- Specific Requirements:
- Minimum of 90 higher education credits in image analysis and machine learning.
- Skills:
- Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
- Excellent English communication skills.
- Creativity, thoroughness, structured problem-solving approaches, and good collaborative skills.
Job Description
- The PhD student will primarily focus on graduate education and will have the opportunity to engage in teaching and administrative duties (up to 20%).
- Develop algorithms and methods to train AI models using limited and heterogeneous multimodal data.
- Collaborate with healthcare and biomedicine partners to detect cancer from samples and predict optimal treatments.
How to Apply
- Submit the following documents electronically:
- Curriculum Vitae (CV)
- Degree/Diploma and Transcript of Records
- Master’s Thesis or other technical/scientific texts
- Contact details of at least two references
- Personal Letter (maximum 1 page) detailing:
- Motivation for application
- Earliest possible start date
- Up to three main scientific achievements
Last Date for Application
May 22, 2026
For further information about the application process, please contact Prof. Joakim Lindblad at joakim.lindblad@it.uu.se.
