PostDoc in AI-driven medical imaging

We are hiring! Machine learning and artificial intelligence have had a major impact on medical image analysis in recent years. While CT and MRI provide highly standardised and robust diagnostic imaging at high cost, ultrasound enables portable and cost‑effective applications. A key challenge, however, is the strong dependence on operator expertise, both during data acquisition and clinical interpretation.The aim of this postdoctoral project is to develop and evaluate AI‑based methods that reduce operator dependence in ultrasound imaging, with a focus on clinically relevant applications. ResponsibilitiesWithin the postdoctoral project, the fellow will have the opportunity to further develop and deepen expertise in methods and concepts such as:Anomaly detectionDomain adaptationFew‑shot learningGraph‑based modelsVision transformers and/or diffusion models2D+time (video) segmentation QualificationsPhD, in biomedical engineering, computer science, electrical engineering, or a related field.Experience in medical image analysis.Knowledge of or practical experience with generative models, anomaly detection, and image and signal analysis. We are looking for a motivated and curious candidate with strong collaboration skills, who is also able to work independently and take responsibility for their research. Apply for the position here:https://www.umu.se/en/work-with-us/postdoctoral-scholarships/postdoctoral-scholarship-2-years-within-ai-driven-medical-imaging_921437/ Deadline to apply 30 September.