PhD in Biomedical Engineering: Deep Learning for Medical Images and Early Lung Cancer Detection Linköping University in Sweden

Linköping University is recruiting a PhD student in Biomedical Engineering for a project on deep learning for medical images, with a focus on early detection of lung cancer. The position is part of the DDLS (Data-Driven Life Science) initiative and the Wallenberg National Program for Data-Driven Life Science, a major Swedish research program supporting data-driven life science, AI, and computational methods.

The research topic sits at the intersection of medical image analysis, computer vision, deep learning, biomedical engineering, and precision medicine and diagnostics. The project uses chest CT volumes and clinical variables from the Swedish SCAPIS cohort to develop methods for detecting lung nodules and distinguishing benign from malignant nodules. The work also involves combining imaging with clinical data such as age, sex, and smoking status, and aims to improve early cancer detection using large-scale medical datasets.

The successful candidate will work at the Department of Biomedical Engineering (IMT) at Linköping University, in a research group focused on medical image analysis, with collaborations across the university and with clinicians at Linköping University Hospital through CMIV. The environment also connects to the computer vision laboratory and the division of statistics and machine learning, offering a strong interdisciplinary setting for AI in healthcare.

Eligibility highlights: a Master’s degree in biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related field; at least 60 advanced-level credits in a relevant area; documented English proficiency; and strong skills in computer vision/medical image analysis, deep learning, mathematics, and Python programming. The role also expects independence, precision, efficiency, and good communication skills.

Funding and employment: this is a paid doctoral employment, not a scholarship. The starting salary is SEK 36,400, with local salary progression and a normal duration of four years full-time, extendable up to five years depending on teaching and departmental duties.

Application window: the deadline is 2026-05-15 (CET). Applicants should use the university’s online application button on the vacancy page and submit all required documents before the deadline.