1-Year Postdoc: Medical Robotics Navigation & Soft-Endoscope Control

Cph Ai Hub; København; Hybrid; DKK 420.000 - 520.000; Vollzeit

Zusammenfassung

The Department of Computer Science at the University of Copenhagen invites applications for a one-year position focused on developing innovative robot control and navigation techniques using simulation-based learning for medical robotic endoscope devices. We seek a highly motivated scientist with a PhD in related fields, strong robotics simulation and ML background, and proficient C++/Python programming.

The role involves implementing methods, publishing work, and collaborating across a

Qualifikationen

• PhD in Computer Science, Robotics, Biomedical Engineering, Mechanical/Electronic Engineering or related field.
• Strong grounding in robotics simulation, robot control, CV and/or ML for physical systems.
• Experience with numerical optimization, preferably for motion planning or RL; soft robots is a plus.
• Proficient C++/Python programming; experience with PyTorch, JAX, Warp, Taichi or ROS.
• Excellent communication and ability to work in an international research environment.

Aufgaben

• Design and implement machine learning methods for motion planning and control in simulation and real hardware.
• Contribute to publications and present findings at international conferences.
• Foster collaborations with industrial partners and academic colleagues for translation to practice.
• Engage in interdisciplinary team discussions, workshops and mentorship opportunities.
• Support project timing and extendability depending on funding status.

Kenntnisse

Robotics simulation

Robot control

Machine learning for physical systems

Numerical optimization

C++/Python programming

Communication in multidisciplinary env

Ausbildung

PhD in Computer Science / Robotics / Biomedical Engineering

Tools

PyTorch

JAX

Warp

Taichi

ROS

Jobbeschreibung

The Department of Computer Science at the University of Copenhagen invites applications for a one-year position focused on developing innovative robot control and navigation techniques using simulation-based learning for medical robotic endoscope devices. We seek a highly motivated scientist with a PhD in related fields, strong robotics simulation and ML background, and proficient C++/Python programming.

The role involves implementing methods, publishing work, and collaborating across a