Home PhD PhD Scholarship in Biomedical Engineering –Linköping University, Sweden

PhD Scholarship in Biomedical Engineering –Linköping University, Sweden

Study in Sweden

Summary:
Linköping University is offering a PhD scholarship in Biomedical Engineering under the Data-Driven Life Science (DDLS) program. This program focuses on leveraging artificial intelligence and big data to enhance precision medicine, particularly in early lung cancer detection through advanced image analysis.

PhD Scholarship in Biomedical Engineering – Data-Driven Precision Medicine and Diagnostics, Linköping University, Sweden


Designation:

PhD Student in Biomedical Engineering, specializing in deep learning for medical images.


Details Table

FieldDetails
Research AreaData-driven precision medicine and diagnostics
LocationLinköping University, Sweden
Eligibility/QualificationMaster’s degree in biomedical engineering, electrical engineering, machine learning, statistics, computer science, or related fields. Minimum of 240 credits with at least 60 in advanced courses. Proficiency in English required.
Job DescriptionDevelop methods for early detection of lung cancer using chest CT volumes and clinical variables. Requires expertise in computer vision, medical image analysis, deep learning, and programming (Python). Involves work with medical datasets and collaboration with researchers and supervisors. May include teaching or departmental duties (up to 20% of full time).
How to ApplyInterested candidates should apply through the Linköping University website. Ensure all required documents are submitted by the application deadline.
Last Date to ApplyMay 15, 2026 (CET)

Research Focus:
The PhD position is centered on using data integration and analysis for the early detection of lung cancer, utilizing a comprehensive dataset of medical images and clinical variables.


For More Information:
Visit the official Linköping University Job Page for additional details and the application procedure.


This is an excellent opportunity for prospective PhD students driven by innovation in health sciences and eager to contribute to groundbreaking research in the field of precision medicine.

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