Postdoc position on deep learning based medical imaging for medical robot

• 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

• 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.

• 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.

• CV with academic track records
• Motivation letter
• 2 reference letters from previous academic supervisors

Universiteit Twente