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Doctoral student (f/m/x)

The Translational Surgical Oncology group at the NCT Dresden is developing computer-and robotic-assisted surgical systems for the operating room of the future wich optimize the therapy of the individual patient.

The project is part of the 6G-life Research hub between TU Dresden and TU Munich. The research environment  will be international, highly collaborative and involves regular interactions with the project partners. Starting at the next possible point of start we are seeking a highly motivated PhD student to work on robot-assisted surgery. We have an open position for a

Doctoral Student (f/m/x) 

This full time Position is limited for 36 months.

A primary goal is immersive remote surgery via a digital twin, involving respresentation and prediction of surgical movements and interactions based on machine learning methods. The real-time acquisition and transfer will be based on novel sensors, e.g. data gloves. In addition novel interaction mechanisms via virtual reality will be researched to enable remote expert assistance.

Your Profile:

  • 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 benficial: Machine Learning, Computer Vision, Robotics
  • Fluent proficiency in spoken and written English
  • Ability to collaborate well in an interdisciplinary environment

We offer:

  • Realization of own ideas and employment in an innovative Team
  • Arranging for flexible working hours to find a balance between work and family life
  • Using our internal prevention program including courses and fitness in our Carus Vital health Center
  • Taking part in job-oriented educational course in our Carus Akademie
  • Providing for the future in the form of a company pension plan
  • A Position according to the TV-L conditions (E13;100%)
Application of women is appreciated. Disabled persons with equal qualification will be preferred. 

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. We look forward to receiving your application, until October 31st, 2021 online with Registration number TMO0921658. For further Information please contact Prof. Stefanie Speidel by telephone 0351-458-5413 or by E-Mail: