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University of Copenhagen
3 days ago
Postdoctoral Researcher in Medical Robotics: Simulation-Based Navigation and Control University of Copenhagen in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
This is a full-time, fixed-term postdoctoral position for one year, with an average workload of 37 hours per week. Salary, pension, and other employment conditions follow the agreement between the Danish Ministry of Taxation and the Academic Confederation or another relevant organization. The position may be extended subject to future funding. Eligible foreign and Danish applicants holding a PhD who have not lived in Denmark during the previous 10 years may qualify for tax reductions.
Deadline
Nov 30, 2026
Country
Denmark
University
University of Copenhagen
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About this position
The University of Copenhagen is seeking a postdoctoral researcher for a one-year project in medical robotics, focused on simulation-based learning for navigation and control of robotic endoscope devices.
The project addresses two connected research challenges. The first is image-based navigation: developing reward functions that evaluate navigation policies for medical robots moving inside the human body using image information alone, while accounting for environmental changes through interaction models. The second is soft-robot control: creating learning-based methods that enable a soft robotic endoscope to follow high-level navigation policies during clinical procedures, followed by quality assessment during in-vivo interventions.
The successful researcher will design and implement machine-learning methods for motion planning and robot control, integrate simulation-based learning frameworks, and demonstrate the resulting systems on real robotic hardware and soft endoscopes. The role also involves contributing to scientific publications and conference presentations, collaborating with industrial and academic partners, and participating in interdisciplinary discussions spanning medical imaging, physics simulation, robotics control, and clinical translation.
The researcher will join a multidisciplinary team working in a collaborative international environment connected with partners across France, Germany, and Spain. The project combines robotics simulation, computer vision, numerical optimization, reinforcement learning, and physical-system experimentation, offering an opportunity to contribute to technologies aimed at improving patient care through advanced robotic intervention.
Funding details
This is a full-time, fixed-term postdoctoral position for one year, with an average workload of 37 hours per week. Salary, pension, and other employment conditions follow the agreement between the Danish Ministry of Taxation and the Academic Confederation or another relevant organization. The position may be extended subject to future funding. Eligible foreign and Danish applicants holding a PhD who have not lived in Denmark during the previous 10 years may qualify for tax reductions.
What's required
Applicants must hold a PhD in Computer Science, Robotics, Biomedical Engineering, Mechanical or Electronic Engineering, Applied Mathematics, or a related field; if the PhD is not completed, a written statement from the supervisor may be accepted. Applicants should have a strong foundation and track record in robotics simulation, robot control, computer vision, and/or machine learning for physical systems; substantial experience with numerical optimization, preferably for motion planning or reinforcement learning; and proficiency in scientific computing and C++ and Python. Experience with PyTorch, JAX, Warp, Taichi, or ROS is expected. Experience with real robots, especially soft-robot systems, peer-reviewed publications in top-tier robotics or AI venues, and physics simulators such as MuJoCo, Isaac Sim, Newton Physics, or SOFA are desirable. Excellent communication skills and motivation to work in a multidisciplinary international research environment are required.
How to apply
Submit an online application in English through the University of Copenhagen application portal. Include a maximum one-page motivation letter, CV, certified or signed PhD and MSc certificates (or a supervisor statement if the PhD is incomplete), and a publication list, all in PDF format.
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Prepare your application
Review drafts and confirm requirements with the university.