Summary
Lund University, renowned for its excellence in research and education, offers an exciting opportunity for a PhD student to join the Anders Wittrup research group in the field of RNA therapeutics in cancer. This position emphasizes advanced image analysis techniques and the application of deep learning methodologies.
PhD Scholarship in Deep-Learning based Image Analysis for RNA Therapeutics, Lund University, Sweden
Designation
PhD Student (100%) in Deep-Learning-based Image Analysis for RNA Therapeutics
| Detail | Description |
|---|---|
| Research Area | RNA Therapeutics in Cancer |
| Location | Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Sweden |
| Eligibility/Qualification | Master’s degree in relevant fields (bioinformatics, computer science, etc.) |
| Job Description | Analysis of live-cell microscopy data, developing deep learning models, managing large datasets, and contributing to scientific publications |
| How to Apply | Submit application via the University’s recruitment system, including CV, personal letter, and degree certificates |
| Last Date to Apply | June 3, 2026 |
Research Area
The position focuses on enhancing RNA delivery to tumors through data-driven methodologies and AI approaches, particularly integrated with advanced image analysis and microscopy techniques.
Eligibility/Qualification
Candidates should possess:
- A Master’s degree or equivalent in bioinformatics, engineering physics, mathematics, applied mathematics, computer science, biomedicine, biotechnology, or related fields.
- Documented experience in programming or quantitative data analysis, preferably in Python or MATLAB.
- Strong interest in the intersection of biology and artificial intelligence.
- Collaborative skills, analytical ability, and capacity for independent work.
Job Description
The PhD student will be responsible for:
- Analyzing advanced 4D live-cell microscopy data to identify endosomal escape events.
- Developing, validating, and integrating deep learning-based models for detection and tracking.
- Managing large-scale datasets and collaborating with supervisors for method development and biological interpretation.
- Documenting, presenting results, and contributing to scientific publications.
How to Apply
Interested applicants must submit their applications through the University’s recruitment system. The application should include:
- CV
- Personal letter articulating interest and qualifications
- Degree certificates and additional relevant documents
Last Date to Apply
The deadline for applications is June 3, 2026.
This scholarship presents a unique opportunity to contribute to cutting-edge research in data-driven life sciences at a prestigious institution.
