[Job-offers-cs] PostDoc in AI for biomedical imaging in Hamburg / Germany

[Pekka Orponen]

-------- Forwarded Message --------
Subject: [DMANET] PostDoc in AI for biomedical imaging in Hamburg / Germany
Date: Thu, 20 Aug 2020 21:58:33 +0200
From: Alexander Schlaefer <schlaefer at tuhh.de>
Reply-To: Alexander Schlaefer <schlaefer at tuhh.de>
To: dmanet at zpr.uni-koeln.de

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 at 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