Research Assistants in Medical Robotics (Navigation & Control)

Cph Ai Hub; København; Hybrid; DKK 360.000 - 480.000; Vollzeit

Zusammenfassung

Cph Ai Hub invites applications for a one-year research assistant position focused on developing innovative robot control and navigation techniques for medical robotic endoscope devices, using simulation-based learning.

The role emphasizes machine learning, robotics simulation, and collaboration with international partners to translate methods to clinical practice.

Qualifikationen

• MSc in robotics or a related field
• Strong foundation in robotics simulation, robot control, CV and/or ML for physical systems
• Experience with numerical optimization for motion planning or RL is advantageous
• Proficient programming in C++ and Python; familiarity with PyTorch, JAX, Warp, Taichi, or ROS
• Excellent communication in a multidisciplinary, international environment

Aufgaben

• Design and implement machine learning methods for motion planning and control on simulation-based platforms and real hardware
• Contribute to high-quality research outputs and present findings at international venues
• Collaborate with industrial partners and academic colleagues to ensure real-world relevance
• Engage in interdisciplinary activities spanning medical imaging, physics simulation, and robotics control
• Mentor and participate in knowledge exchange within a high-growth research setting

Jobbeschreibung

The Department of Computer Science invites applications for one-year research assistant positions focused on developing innovative robot control and navigation techniques using simulation-based learning for medical robotic endoscope devices.

Project Background

This project addresses two critical challenges in the field of medical robotics to improve patient care through advanced simulation and control:

• Image-Based Navigation: Creating reward functions for scoring navigation policies for medical robotic devices moving inside the human body, relying solely on image information and accounting for environment changes through interaction models.
• Soft Robot Control: Developing learning-based methods to control a soft robot endoscope via high-level navigation policies to perform clinical procedures inside the human body, including quality assessment of these methods during in-vivo interventions.

The successful candidates will join a multidisciplinary and collaborative team renowned for cutting-edge research in medical imaging and simulation technologies, operating within a global network across France, Germany, and Spain.

Roles and Responsibilities

The successful candidates will play a central role in the project’s technical and scientific success. While the level of autonomy will vary by position, both roles will share the following core responsibilities:

• Technical Development & Implementation: Designing and implementing machine learning methods for motion planning and control. This includes integrating simulation-based learning frameworks and demonstrating the resulting systems on real robotic hardware and soft robot endoscopes.
• Research & Scientific Contribution: Contributing to the project’s core objectives by producing impactful research outputs. This includes writing high-quality papers for peer-reviewed journals and presenting findings at international conferences.
• Collaboration & Knowledge Exchange: Facilitating collaborations with industrial partners and academic collaborators to ensure that the developed methodologies are meaningful and translatable to real-world clinical practice.
• Professional Growth & Mentorship: Engaging in a high-growth research environment. The positions can be extendable and towards a PhD depending on the future funding status. The project has a trackrecord of landing members in top PhD program and faculty positions.
• Interdisciplinary Integration: Actively participating in team discussions and workshops to integrate expertise across medical imaging, physics simulation, and robotics control.

Profile

We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience:

Essential experience and skills

• MSc in the fields mentioned above.
• You have a strong foundation and track record in robotics simulation, robot control, computer vision and/or machine learning for physical systems.
• You are highgly experienced in numerical optimization algorithms, preferably applied to motion planning or reinforcement learning. Hands-on experience on real robots especially soft robot systems is a plus.
• Proficient scientific computing and programming (C++/Python) and experience with libraries such as PyTorch, JAX, Warp, Taichi, or ROS.
• Excellent communication skills and a high level of motivation to work in a multidisciplinary, international research environment.

Desirable experience and skills

• Experience in publishing peer-reviewed research in top-tier robotics or AI venues.
• Familiarity with physics simulation such as MuJoCo, Isaac Sim, Newton Physics, SOFA etc.

Terms of employment

The average weekly working hours are 37 hours per week.

The position is a fixed-term position limited to a period of 1 year. The starting date is 15 February or after agreement.

Salary, pension and other conditions of employment are set in accordance with the Agreement between the Ministry of Taxation and AC (Danish Confederation of Professional Associations) or other relevant organisation.

Foreign and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark the last 10 years.

The position is covered by the Job Structure for Academic Staff at Universities 2025.

Questions

Further information on the Department is linked at http://www.science.ku.dk/english/about-the-faculty/organisation/. Inquiries about the positions can be made to and

Deadline for applications: 30 November 2026, 23:59 GMT +1. We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

The further process

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.

You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/

The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.