In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems.
In this role, you will contribute to the development and implementation of cutting-edge AI solutions for real-time image-guided medical applications. You will work hands-on with clinical data and build robust deep learning algorithms.
We welcome applications from individuals with experience in:
- Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement learning.
- 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
Information and application
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.
About the 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/]
About the organisation
The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.
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