PhD/Postdoc Positions (m/f/d) in Oncology

PhD/Postdoc Positions (m/f/d) in Oncology

Anticipated Start Date: 01.07.2026

Application End Date: 31.05.2026

Temporary Employment: 12 months

Working Hours: Full and Part Time

Requisition ID: 1946

The University Hospital Carl Gustav Carus and the Faculty of Medicine together form University Medicine Dresden. It is committed to excellence in high-performance medicine, medical research and teaching as well as healthcare services for patients in the entire region.

Together for the cutting-edge medicine of tomorrow - become part of University Medicine Dresden

PhD/Postdoc Positions (m/f/d) in next generation AI-Computing for robot-assisted surgery

at the Department of Oncology

The 'Next Generation AI-Computing (gAIn)' project aims to address key challenges in AI deployment - energy efficiency, predictability, reliability, and regulatory compliance - through the development of novel AI hardware and software concepts ( ). Goals include significantly reducing the energy footprint of AI applications while achieving algorithmic transparency and satisfying legal requirements such as the 'right to explanation.'

The position is available as soon as possible on a full-time or part-time basis and is limited until 31 December 2027. Remuneration is based on the classification provisions of the Collective Agreement for the Public Service of the federal states (TV-L) and, subject to the fulfilment of personal requirements, may be assigned to pay grade E13.

Your Role:

As part of this project, you will research and develop techniques to accelerate and optimize AI algorithms for real-time execution on edge devices in the operating room. Your work will build on and contribute to technologies developed within gAIn, advancing methods that are both computationally efficient and clinically deployable. Relevant algorithms include - but are not limited to - edge computing for robotics, video interpretation, imitation learning, and reinforcement learning.

You will collaborate closely within an interdisciplinary team to develop innovative methods that serve as use cases for gAIn and drive methodological progress across the project.

Your Responsibilities:

Independent research in accordance with good scientific practice: conception and implementation of scientific methods, experiment design, data collection and processing, and authoring publications in peer-reviewed journals

Presentation of work at international conferences and participation in training and professional development opportunities

Supervision of student theses and projects

Participation in project meetings and colloquia

Support with documentation and reporting

Onboarding and guidance of research assistants

Communication of research activities to external stakeholders

Your profile:

Masters Degree (or equivalent)/PhD in computer science, electrical engineering, applied mathematics or related fields of expertise

Very good programming skills (e.g. Python, C++)

Excellent skills and practical experience in one or more of the following research areas is beneficial: Machine Learning/Deep Learning, Robotics, High Performance Computing

Excellent collaboration skills including interdisciplinary environments

High curiosity regarding novel machine learning techniques

We offer:

Salary: According to TV-L (pay grade E13 , subject to personal qualifications), including annual special payment

Vacation: 30 days of paid annual leave

Professional development: Extensive internal and external training opportunities to continuo