Position: PhD Student
Department: NCT Dresden - Translationale Chirurgische Onkologie
Code number: 2018-0328
The German Cancer Research Center is the largest biomedical research institution in Germany. With approximately 3,000 employees, we operate an extensive scientific program in the field of cancer research.
The Translational Surgical Oncology group at the NCT Dresden is developing computer- and robotic-assisted surgical systems for the operating room of the future which optimize the therapy of the individual patient. We are seeking a highly motivated PhD Student to work on robotic-assisted skill acquisition and context-aware assistance. A primary goal is the systematic capturing, modelling and analysis of surgical expert skills in a sensor- and robotic-equipped operating room resulting in a library of surgical skills.
The project is part of the Cluster of Excellence „Centre for Tactile Internet with Human-in-the-Loop“ (CeTI) (https://www.ceti.one/). The research environment will be international, highly collaborative and involves regular interactions with the project partners.
- Master’s Degree (or equivalent) in computer science, (biomedical) engineering, applied mathematics or related fields of expertise
- Advanced programming skills (e.g. C++, Python)
- Excellent skills and practical experience in one or more of the following research areas is beneficial: Machine Learning, Robotics and Computer Vision
- Fluent proficiency in spoken and written English
- Ability to collaborate well in an interdisciplinary environment
- Interesting, versatile workplace
- International, attractive working environment
- Campus with modern state-of-the-art infrastructure
- Access to international research networks
- Doctoral student payment including social benefits
- Flexible working hours
- Comprehensive training and mentoring program through the Helmholtz International Graduate School
Earliest Possible Start Date: as soon as possible
Duration: The position is limited to 3 years.
Application Deadline: 24.01.2019
Prof. Dr. Stefanie Speidel
Phone +49 (0) 351 458-5413
Please note that we do not accept applications submitted via email.