"Postdoc position on deep learning based medical imaging for medical robot"

In this role, you will help develop and implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot.

To be successful in this role, we are looking for candidates to have the following skills and experience. We welcome applications from individuals with experience in: Deep learning, Medical image computing (preferably x-ray imaging), Computationally efficient deep learning, Deep learning model generalisation techniques, Translating deep learning models into clinical settings, Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution, Have a passion on obtaining external funding and project management.

Requirements: PhD in Computer Science, Biomedical Engineering, Data Science, or related disciplines, Track record of first author publications in high impact journals or conferences, Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution, Experience developing deep learning for real-time medical applications, Stay updated with the latest developments in AI and related fields. Up to date knowledge of AI/ML state of the art, including scientific literature, tools, models, best practices, Initiative and ability to work independently and collaboratively within a cross-functional team, including software developers, electrical and mechanical engineers, Experience and strong understanding of machine learning algorithms, mathematical modelling, and applications of AI, Proficiency in Python, leading ML frameworks (e.g., PyTorch, TensorFlow, JAX), and scientific libraries (e.g., NumPy, SciPy, scikit-learn), Familiarity with medical images such as x-ray, CT, or fluoroscopy, Proficiency in Python coding language and best coding practices.

Conditions of employment: You will be appointed for a period of one year full-time within a very stimulating scientific environment. The university offers a dynamic ecosystem with enthusiastic colleagues. With positive evaluation after one year, the contract can be extended. Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU); Gross salary between € 3.546,- (step 0) and € 5.538,- (step 12) per month depending on experience and qualifications; Excellent benefits including a holiday allowance of 8% of the gross annual salary, a year-end bonus of 8.3% and a solid pension scheme; The flexibility to work (partially) from home; Free access to sports facilities on campus; A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis; Excellent support for research and facilities for professional and personal development; We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other university staff; We are also a family-friendly institution that offers parental leave (both paid and unpaid) and career support for partners.

Department: The Robotics and Mechatronics (RaM) group is active on both fundamental and application-driven topics in the field of robotics. We develop novel fundamental paradigms and physically based methodologies, which we then translate in the Lab into demonstrators and prototypes. Area of robot application is mostly in healthcare, and inspection and maintenance. The research is embedded in the TechMed and DSI Institutes. https://www.ram.eemcs.utwente.nl/

Additional information: Are you interested in this position? Please send your application via the 'Apply now' button below before September 13, 2025, and include: CV with academic track records, Motivation letter, 2 reference letters from previous academic supervisors. For more information regarding this position, you are welcome to contact (Dr. ir. Kenan Niu, k.niu@utwente.nl). Screening will be part of the selection procedure.