Home Postdoc Abroad Postdoctoral Research Associate Position (m/f/d) – Surgical AI, Universitätsklinikum Carl Gustav Carus...

Postdoctoral Research Associate Position (m/f/d) – Surgical AI, Universitätsklinikum Carl Gustav Carus Dresden, Germany

Postdoc in Germany

Summary

The Department of Visceral, Thoracic and Vascular Surgery and the Else Kröner Fresenius Center for Digital Health at Universitätsklinikum Carl Gustav Carus Dresden are inviting applications for a Postdoctoral Research Associate (m/f/d) in Surgical AI.

Positioned within the interdisciplinary “Surgical Artificial Intelligence” research group led by Dr. Fiona Kolbinger, this role is part of a 5-year research program funded by the German Federal Ministry of Research, Technology and Space (BMFTR). The candidate will evaluate, benchmark, and optimize state-of-the-art AI models for surgical video understanding using one of the world’s largest prospective surgical video registries.

Postdoctoral Research Associate Position (m/f/d) – Surgical AI, Universitätsklinikum Carl Gustav Carus Dresden, Germany


Designation

  • Title: Postdoctoral Research Associate (m/f/d)
  • Pay Scale: TV-L Pay Grade E13

Overview at a Glance

ParameterDetails
EmployerUniversitätsklinikum Carl Gustav Carus / TU Dresden
DepartmentVisceral, Thoracic and Vascular Surgery & Else Kröner Fresenius Center for Digital Health
Requisition ID2050
Position TypeFull-time or Part-time (Temporary, 24 months with extension option)
Anticipated Start DateOctober 01, 2026
Application DeadlineAugust 30, 2026
RemunerationTV-L E13 + annual bonus
LocationDresden, Germany

Research Area

  • Surgical Artificial Intelligence & Computer Vision
  • Vision-Language Models (VLMs) & LLMs for Surgical Video Analysis
  • Human-AI Interaction in Surgery
  • Translational Surgical Oncology & Clinical Research

Location

  • Dresden, Germany (University Medicine Dresden)

Eligibility / Qualification

  • Education: Doctoral degree (PhD) in Computer Science, Biomedical Engineering, Electrical/Computer Engineering, Software Engineering, or a closely related field.
  • Technical Expertise: Strong background in computer vision, LLMs/VLMs, data science, human-AI interaction, and an interest in clinical surgery and translational research.
  • Skills & Competencies:
    • Demonstrated ability to independently manage research projects and mentor junior researchers.
    • Strong collaborative mindset with clear communication skills.
    • Language: Excellent English communication skills (written and spoken). Knowledge of or willingness to learn German is a plus.

Job Description

Key Responsibilities

  • Research Leadership: Design and lead research projects on AI for surgical video understanding, including vision-language model benchmarking, clinical translation (feasibility studies and randomized controlled trials), and human-AI interaction.
  • Collaboration: Work closely with national and international academic and clinical partners.
  • Mentorship: Supervise and mentor graduate and undergraduate student researchers within the group.
  • Scientific Dissemination: Prepare high-impact journal publications, present at international conferences, and contribute to scientific grant writing.

What is Offered

  • Work Environment: Modern interdisciplinary research environment with direct access to extensive clinical data and surgical expertise.
  • Work-Life Balance: 30 days of paid vacation, flexible working hours, and options for partial work-from-home arrangements.
  • Benefits: Public sector pension scheme, job ticket subsidy, health and fitness programs (Carus Vital), corporate discounts, and family office support for childcare/eldercare.

How to Apply

  • Online Application: Applicants are encouraged to apply via the UKDD Online Application Portal.
  • Contact for Scientific Queries: Dr. Fiona Kolbinger (fiona.kolbinger@tu-dresden.de)
  • HR Contact: Antonia Schulz (Tel: 0351-458 77306)
  • Health Requirement: Proof of measles vaccination (medical certificate) in accordance with the Infection Protection Act is required prior to starting work.

Last Date to Apply

  • August 30, 2026

Link

LEAVE A REPLY

Please enter your comment!
Please enter your name here