University of Technology is looking for a PhD student working on machine
learning methods for multi-criteria optimization and path planning for
medical and mobile robots in dynamic environments.
Finding the optimal pose or path of a robot can be a challenging problem.
Consider robots moving in a clinical setting, estimating patient motion,
and coordinating multiple robots interacting with a patient. In such
scenarios, you will use machine learning methods to estimate the motion
dynamics from different image modalities and to adapt and optimize the
robots' motion in real-time.
We offer a fully funded position (approximately 53K EUR gross salary) for
a candidate with a background in computer science or related fields.
Excellent programming skills and very good knowledge of robotics and
machine learning methods are required, ROS skills are a big plus.
Successful candidates will have an excellent academic track record and a
clear motivation to obtain a PhD. While you will be part of an
interdisciplinary team you are able to work independently and to
collaborate with partners at clinics and other research groups.
Please, check
https://stellenportal.tuhh.de/jobposting/d77f9d01e1356a2b7d6b15b59e6312d2add6ac1c
for further details or contact Alexander Schlaefer (schlaefer@tuhh.de).
Applications should be sent via
https://stellenportal.tuhh.de/en/jobposting/d77f9d01e1356a2b7d6b15b59e6312d2add6ac1c0/apply
--
Alexander Schlaefer
Institute of Medical Technology and Intelligent Systems
Hamburg University of Technology
+49 (0) 40 42878 3050
www.tuhh.de/mtec
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