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Postdoc position on reinforcement learning on real-time image/video processing for medical robot

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Postdoc position on reinforcement learning on real-time image/video processing for medical robot

Deadline Published Vacancy ID 2210

Academic fields

Engineering

Job types

Postdoc

Education level

Doctorate

Weekly hours

40 hours per week

Salary indication

€3546—€5538 per month

Location

Drienerlolaan 5, 7522NB, Enschede

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Job description

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

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, reinforcement learning.
  • 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 maximum 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/]

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