Hamburg University of Technology (TUHH) and University Medical Center
Hamburg-Eppendorf (UKE) have recently established the Interdisciplinary
Competence Center for Interface Research (ICCIR). Within the
interdisciplinary center, the Institute of Medical Technology and
Intelligent Systems at TUHH will be responsible for developing artificial
intelligence methods.
Our research covers AI methods ranging from medical robotics and
multi-criteria treatment planning to machine learning (ML) for signal and
image processing. Within the ICCIR we are particularly interested in
methods for fast spatio-temporal imaging, e.g., 4D ultrasound (US) or 4D
optical coherence tomography (OCT). We will collaborate with partners from
various institutes and clinics with a focus on identifying tissue
properties at interfaces. Examples would include tumor-tissue boundaries,
different tissue layers, or interfaces between implants and instruments
and soft tissue.
We have funding for a full time position at pay scale E14 (app. 50K EUR
p.a.) for 36 months. The successful candidate holds a PhD in computer
science or related fields, has an excellent academic track record, and is
interested in pursuing an academic career.
As a post-doctoral researcher you will be responsible for
- developing ML methods, particularly CNN/RRN approaches
for processing fast, volumetric image data
- integrating ML with the (GPU based) signal processing systems
- initiating new research projects with partners, particularly clinicians
- co-supervising PhD students from computer science and
biomedical engineering
- contributing to grant applications
Requirements
- extensive knowledge of current ML methods is important; experience with
methods from robotics and / or optimization would be a strong plus
- understanding of image and signal processing; experience with biomedical
imaging and particularly US and OCT would be desirable
- very good practical programming skills (C++, Python, CUDA)
- proven track record of excellent publications
- excellent English language skills
- project management experience would be a plus
Please, send your complete application including transcripts and a list of
publications through our online application system
https://stellenportal.tuhh.de/en/jobposting/ce4286c1ce0e3052a7d58eb54e1352a88b52ed1a0/apply
The application deadline is September 10th, 2020. Please, do not hesitate
to contact Alexander Schlaefer (schlaefer@tuhh.de) with questions
regarding the position.
--
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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