Summary
Uppsala University invites applications for a PhD position focused on utilizing 3D image processing and physics-informed machine learning to advance Sweden’s green hydrogen production. This interdisciplinary role combines innovative methodologies in image analysis and machine learning with practical applications in electrochemical technologies.
PhD Scholarship in Image Processing and Machine Learning for Green Hydrogen Production, Uppsala University, Sweden
Designation
PhD Student, Department of Information Technology
Research Area
- Computerized Image Processing
- Machine Learning
- Green Hydrogen Production
- Electrochemical Technologies
Location
Uppsala University, Uppsala, Sweden
Eligibility/Qualification
| Requirement | Details |
|---|---|
| Educational Background | Master’s degree in Engineering Physics, Electrical Engineering, Image Processing, Computer Vision, AI, Machine Learning, Data Science, Computer Science, Applied Mathematics, or similar field. |
| Credits | At least 240 higher education credits, including 60 credits at Master’s level with an independent project worth at least 15 credits. |
| Programming Skills | Proficiency in Python is preferred. |
| Communication Skills | Excellent oral and written English skills. |
| Personal Characteristics | Creativity, thoroughness, structured approach to problem-solving. |
Job Description
The PhD student will primarily focus on the following interconnected tasks:
- 3D Microstructure Characterization: Develop automated pipelines for segmenting and analyzing X-ray computed tomography images of titanium layers using deep learning methods.
- Probabilistic Surrogate Modelling and Digital Twin Construction: Use extracted microstructural descriptors to create a probabilistic forward model mapping microstructure to electrochemical performance.
- Bayesian Experimental Design and Process Optimization: Design experiment sequences that reduce uncertainty in identifying optimal manufacturing process conditions.
Supervision: The student will be supervised by Ida-Maria Sintorn and Jens Sjölund in collaboration with Alleima and Sandvik.
How to Apply
Applications must include the following documents:
- A cover letter (max 2 pages) in English detailing motivation and suitability for the position.
- CV.
- Degree diploma and transcript (in English or Swedish).
- Master’s thesis (or draft) and relevant documents.
- Contact for two references.
Applications should be submitted through Uppsala University’s recruitment system.
Last Date to Apply
May 7, 2026
Reference Number: UFV-PA 2026/1161
For further information, contact:
- Ida-Maria Sintorn: ida.sintorn@it.uu.se, +46 18 471 34 61
- Jens Sjölund: jens.sjolund@it.uu.se, +46 18 471 78 40
Explore more about living and working in Sweden if you are considering relocating for this position. This opportunity is also subject to security vetting.
