Summary
Linköping University is inviting applications for a PhD position focusing on Data-driven Precision Medicine and Diagnostics, under the auspices of the Data-Driven Life Science (DDLS) program. This role aims to develop methodologies for early detection of lung cancer through advanced computational techniques integrating medical imaging and clinical data.
PhD Student in Biomedical Engineering, Linköping University, Sweden
Designation
PhD Student in Biomedical Engineering – Deep Learning for Medical Images
Reference Number: IMT-2026-00023
Table
| Details | Information |
|---|---|
| Research Area | Data-driven Precision Medicine and Diagnostics |
| Location | Linköping University, Sweden |
| Eligibility/Qualification | Master’s in Biomedical Engineering, Electrical Engineering, Machine Learning, Statistics, Computer Science, or related field. Minimum 240 credits of which at least 60 must be advanced courses. Proficiency in English is essential. |
| Job Description | Focus on developing methods for early detection of lung cancer through the fusion of chest CT volumes and clinical variables. Involves analyzing large medical datasets and collaborating with multidisciplinary teams. |
| How to Apply | Applications must be submitted through the Linköping University website by clicking the “Apply” button on the job listing page. |
| Last Date to Apply | May 15, 2026 (CET) |
Research Area
The position emphasizes Data-driven Precision Medicine and Diagnostics, dealing with data integration and analysis for patient stratification, disease risk biomarker discovery, and health monitoring.
Eligibility/Qualification
- A Master’s degree in Biomedical Engineering, Electrical Engineering, Machine Learning, Statistics, Computer Science, or related disciplines.
- Completion of at least 240 higher education credits, including at least 60 in advanced courses.
- Proven proficiency in English.
- Knowledge of computer vision, medical image analysis, and deep learning.
- Strong programming skills, especially in Python.
Job Description
The PhD candidate will engage in:
- Developing innovative methods for early lung cancer detection using high-resolution CT imaging.
- Integrating clinical variables such as age, sex, and smoking status to enhance detection methodologies.
- Participating in interdisciplinary meetings and collaborating with medical experts to improve diagnostic strategies.
- Contributing to teaching or departmental duties up to 20% of full-time.
How to Apply
To apply for this position, please visit the Linköping University application portal and submit your application by clicking the “Apply” button provided in the job listing.
Last Date to Apply
May 15, 2026 (CET)
Additional Information
Linköping University is recognized for its leading role in AI technology and its commitment to fostering a diverse and inclusive academic environment. Those interested in contributing to cutting-edge research in a collaborative setting are encouraged to apply.
For any further inquiries, you may contact:
- Anders Eklund (Senior Associate Professor) – anders.eklund@liu.se
- Marcus Larsson (Head of Division) – marcus.larsson@liu.se
- Christina Inglisedotter (HR Partner) – christina.inglisedotter@liu.se
Visit the official job page for more details.
