Postdoc in Medical Robotics: Navigation & Soft Endoscope

KU - SCIENCE - DATALOGISK INSTITUT - UP1; København; Presencial; DKK 420.000 - 520.000; Jornada completa

Descripción de la vacante

KU - Science - Datalogisk Institut - UP1 is seeking Postdoctoral Researchers in Medical Robotics for a 1-year fixed-term position. The role focuses on developing innovative navigation and control methods for medical robotic endoscopes using simulation-based learning.

The successful candidates will join a multidisciplinary team with strong ties to international partners in Europe. The position emphasizes machine learning, robotics simulation, and real-time control, with opportunities for

Formación

• PhD in a relevant field with strong robotics background.
• Strong foundation in robotics simulation, control, CV and ML for physical systems.
• Experience with numerical optimization applied to motion planning or RL.
• Proficiency in scientific computing and programming (C++/Python).
• Excellent communication in an international research setting.

Responsabilidades

• Design and implement ML methods for motion planning and control.
• Integrate simulation-based learning with real robotic hardware.
• Contribute to scientific publications and attend international conferences.
• Collaborate with industrial partners and academic colleagues.
• Engage in interdisciplinary discussions across imaging, physics simulation and robotics.

Conocimientos

Robotics simulation

Robot control

Computer vision

Machine learning

Numerical optimization

C++/Python

PyTorch

ROS

Educación

PhD in Computer Science/Robotics/Biomedical Engineering

Applied Math/Engineering related field

Herramientas

PyTorch

JAX

Warp

Taichi

ROS

Descripción del empleo

KU - Science - Datalogisk Institut - UP1 is seeking Postdoctoral Researchers in Medical Robotics for a 1-year fixed-term position. The role focuses on developing innovative navigation and control methods for medical robotic endoscopes using simulation-based learning.

The successful candidates will join a multidisciplinary team with strong ties to international partners in Europe. The position emphasizes machine learning, robotics simulation, and real-time control, with opportunities for