Our institute has a long standing track record developing AI methods for
medicine. We are particularly interested in machine learning, medical
robotics and navigation, image guidedance, and treatment planning. In a
project with European partners we are developing sustainable AI methods
for healthcare. One focus will be on optimization and treatment
planning, e.g., for medical robots. The project has a research context
and we expect candidates to be interested in obtaining a PhD.
We are seeking a qualified candidate to develop optimization and
planning methods for medical robots, including optimized motion
planning. This involves close collaboration with partners from clinics,
industry, and academia, conducting systematic experimental evaluations
on real patient data, and presenting research findings at top-tier
international conferences as well as publishing in high-impact journals.
Additionally, the candidate will contribute to the establishment of a
new research center focused on AI in healthcare.
Applicants should hold a completed scientific university master's degree
in computer science or a related field such as engineering or applied
mathematics. Strong programming skills, particularly in Java, are
essential, with Python and C++ considered strong advantages. Candidates
must have excellent knowledge of recent machine learning methods and
frameworks, as well as a solid understanding of optimization techniques
and solvers, especially in constraint optimization. Proficiency in
English at a minimum C1 level and strong scientific writing skills are
required, while German language skills are a plus.
We offer a fully funded research position (100% TV-L E13) with the
opportunity to pursue a PhD alongside project duties. The successful
candidate will join an interdisciplinary team and collaborate with both
academic and clinical partners, working on cutting-edge robotics and AI
methods aimed at meaningful healthcare applications. Our institute
fosters an environment that encourages personal growth and supports the
implementation of innovative ideas.
More information can be found here here or in the attached file:
https://stellenportal.tuhh.de/qcmgv <https://stellenportal.tuhh.de/qcmgv>
Please, apply using this link: https://stellenportal.tuhh.de/dr8rv
<https://stellenportal.tuhh.de/dr8rv>
The position is fully funded for a maximum term of three years.
For additional questions, please contact Prof. Alexander Schlaefer
(schlaefer@tuhh.de)
Prof. Dr.-Ing. 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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