Anders Eklund
6 months ago
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PhD in Biomedical Engineering: Deep Learning for Medical Images and Early Lung Cancer Detection Linköping University in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
PhD employment at Linköping University with a starting salary of SEK 36,400, following locally negotiated salary progression. The position is normally four years full-time, with possible extension up to five years depending on teaching and institutional duties. The post is part of the DDLS Research School and is funded through the DDLS program, which is backed by the Knut and Alice Wallenberg Foundation.
Deadline
Expired
Country
Sweden
University
Linköping University
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About this position
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.
Funding details
PhD employment at Linköping University with a starting salary of SEK 36,400, following locally negotiated salary progression. The position is normally four years full-time, with possible extension up to five years depending on teaching and institutional duties. The post is part of the DDLS Research School and is funded through the DDLS program, which is backed by the Knut and Alice Wallenberg Foundation.
What's required
Master’s level degree in biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related relevant area, or equivalent knowledge; at least 240 credits with at least 60 advanced credits, or equivalent. Specific eligibility for doctoral education in Biomedical Engineering Science requires at least 60 higher education credits at advanced level in a relevant field. Documented proficiency in English is required. Applicants should have knowledge and expertise in computer vision and/or medical image analysis, deep learning, and mathematics, strong programming skills especially in Python, and be independent, meticulous, efficient, and able to communicate well and participate actively in discussions.
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Professors
Senior Associate Professor
Sweden
Research Interests
Medical Imaging
Computational Neuroscience
Neuroimaging
Brain Tumor
Tissue Imaging
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.