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 within the Department of Biomedical Engineering (IMT) and is part of the DDLS (Data-Driven Life Science) initiative.

The research topic combines medical image analysis, computer vision, deep learning, machine learning, statistics, and biomedical engineering. The project aims to develop methods for detecting lung nodules from chest CT volumes and clinical variables, and to classify nodules as benign or malignant. The work uses the Swedish SCAPIS dataset and involves large-scale medical data, AI for healthcare, and precision medicine/diagnostics.

The successful candidate will work in a research group focused on analysis of medical images, collaborating with medical doctors at Linköping University Hospital through CMIV, as well as with researchers in computer vision and statistics/machine learning at Linköping University. The environment includes access to strong AI infrastructure such as Berzelius and local computing resources.

Eligibility highlights: a Master’s degree or equivalent in biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related field; at least 60 advanced credits in a relevant area; documented English proficiency; strong skills in computer vision and/or medical image analysis, deep learning, mathematics, and Python programming.

Funding and employment: the position is a paid PhD employment at Linköping University. The starting salary is SEK 36,400, with salary progression according to local agreement. The appointment is normally four years full-time, with possible extension up to five years depending on teaching and departmental duties.

Application window: applications must be submitted no later than 2026-05-15 (CET). Apply via the university vacancy page.