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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 (https://www.futurecomputing.ai/ ). 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:

 

  • Master’s 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 continuously enhance your skills

  • Corporate culture: A transparent, team-oriented environment with shared successes and joint events, including participation in sporting events such as the REWE Team Challenge

  • Mobility: Job bike option and subsidy for public transport ticket

  • Health: Access to modern sports and fitness programs at our health center, mental health support programs, and comprehensive occupational health management

  • Shopping benefits: Employee discounts at the hospital pharmacy, exclusive corporate benefits, and additional shopping platforms

  • Work-life balance: Family office support for childcare, holiday programs, and caregiving responsibilities, as well as flexible working models

 

Your contact in the HR Directorate

 

 

Elena Koch

Tel: 0351-458- 2594

Severely disabled applicants are expressly encouraged to apply and will be given preferential consideration if equally qualified.

We kindly ask you to apply preferably via our online form to make the selection process faster and more effective. Of course, we also consider your written application without any disadvantages. 

To ensure the best possible health protection for our patients and employees, we require proof of measles vaccination (a medical certificate) in accordance with the Infection Protection Act. Further proof of vaccination status must be presented before starting work.

Good reasons for the Dresden University Medicine as an employer

Our Benefits

Attractive conditions: We offer attractive compensation according to the collective bargaining agreement, 30 days of vacation, and a fixed annual bonus. For retirement, we offer the option of a company-sponsored pension plan.

Career & Development: Benefit from a wide range of training and professional development opportunities, including at our in-house Carus Academy.

Family Focus: Our Family Office supports you with childcare or eldercare needs.

Health & Prevention: You receive free health consultations, comprehensive vaccination coverage, and regular occupational health checkups. You can also take advantage of our in-house health center, Carus Vital.

Mobility & Transportation: Stay mobile with our job ticket or bike leasing options.

Employee Benefits: Take advantage of discounts on our additional offers at mitarbeiterangebote.de or mitarbeitervorteile.de.

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