Research Associate/PhD Surgical AI (m/f/d)

As a scientific employee or scientific employee (or PhD student*in), you play a leading role in the computer-assisted aspects of this project and also have the opportunity to pursue adjacent research interests within the broader range of topics of the working group. The site is embedded in an interdisciplinary and international research environment: You are part of the research group “Surgical Artificial Intelligence” under the direction of Dr. Fiona Kolbinger, who is jointly located at the Clinic for Visceral, Thorax and Vascular Surgery and at the Else Kröner Fresenius Center for Digital Health at TU Dresden. The research group works at the interface of AI development, clinical surgery and translational research with the aim of developing and evaluating AI methods for improving surgical care. Implementation, evaluation and iterative optimization of AI models for video-based intraoperative assistance in colorectal interventions developing and implementing innovative strategies and tools for efficient and high-quality expert annotation of surgical video data sets from multiple centers; Coordination of the annotation process in cooperation with clinical partners from other centres Participation in the technical preparation of a clinical trial in humans for the evaluation of the assistance system in compliance with regulatory requirements Close cooperation with clinical partners, including surgeons and clinical researchers at the participating centres Mentoring of Student Assistants in the Working Group Preparation of specialist publications and preparation of presentations for national and international conferences

Complete university studies in computer science, biomedical engineering, electrical engineering, software engineering or a related field Knowledge of machine learning and computer vision, LLMs/VLMs as well as human-AI interaction and/or strong interest in clinical surgery, interdisciplinary oncology and translational research Team-oriented operation and interest in clinical or translational applications at the interface of various disciplines, in particular between clinical surgery/surgical oncology and data science/AI scientific independence, in particular with regard to independent time management; willingness to mentor group members of early career stages (e.g. student assistants); Ability to identify and communicate support needs Excellent knowledge of English; German knowledge or the willingness to acquire these are advantageous

An excellent interdisciplinary research environment with direct access to clinical data and expertise The opportunity to become part of a young, ambitious and growing team of interdisciplinary researchers Scientific flexibility through innovative third-party funded projects covering the entire spectrum of translational surgical AI, including surgical video analysis, multimodal AI, longitudinal and causal inference, and agentic AI Opportunities for professional development and mentoring, regular conference participations, publication possibilities and national and international cooperation Remuneration: according to TV-L in the remuneration group E13 plus Annual special payment, in the event of personal conditions Holiday: 30 days Recreational holiday Continuing training: Extensive internal and external continuing and continuing training opportunities to continuously strengthen your skills Corporate culture: We focus on transparency, team spirit and common successes. Celebrate with us at joint events or at sporting events such as the Rewe Teamchallenge Mobility: Grant to the job ticket to make your work path environmentally friendly and convenient Health: We promote your well-being with modern sports and exercise offerings in our health center, mental health programs and comprehensive occupational health management Benefits: Benefit from staff rebates at our Klinikapotheke, exclusive corporate benefits and other shopping portals Work-Life-Balance: Our family office supports you with questions about Kita courses, holiday programs and care of relatives. We also offer flexible working models