Medizinische Bild- und Signalverarbeitung - gemeinsame Arbeitsgruppe des Fachbereiches Med. Informatik und Med. Bioinformatik und Systembiologie


für den Themenbereich Medizinische Bild- und Signalverarbeitung


The Peter L. Reichertz Institute for Medical Informatics (PLRI) of TU Braunschweig and Hannover Medical School is seeking for a Research

Research Assistant / Postdoc (m/w/d)
Sensor-based Patient-generated Data Science

The Institute
PLRI, one of the largest university-based centers for medical informatics in Germany, is a joint institute of TU Braunschweig and Hannover Medical School. As an academic institution belonging to two leading universities, comprising an institute of technology and a medical school, located in one of Europe’s most research-intensive regions, PLRI offers excellent research opportunities.
The position is open since the announcement and limited to a period of five years. Earning a PhD or habilitation is possible. Depending on your qualification and fulfillment of personal requirements, the remuneration is based on the salary level TV-L E13. International applicants will need to complete a visa process before hiring can take place. The position is based at PLRI Campus Braunschweig. The workplace is basically part-time suitable but should be 100 percent occupied.

Your Challenges
The medical Internet of Things facilitates unobtrusive health monitoring of all aspects of people’s life. Wearable sensors enable connecting directly to the body in order to continuously record movements or measure vital signs. Environmental sensors can capture people’s behavior changes, leading to the potential detection of loss of functions. The same applies to the sensor technology in vehicles. The successful applicant will develop systems and algorithms that enable the sensor data collected in the patient’s living environment as a source of information for the healthcare system. 

Your Profile
We are seeking outstanding candidates that have:

  • completed, or are in the process of completing either a Master degree or a PhD in computer science, medical informatics, or comparable courses of study,
  • experience in combining and analyzing sensor data,
  • programming skills in mainstream data science programming languages such as Python, R and experience in software development,
  • experience in research and outstanding published works in medical data science,
  • familiarity with medical terminologies and semantic interoperability,
  • excellent oral and writing skills in English, and German language skills are advantageous,
  • willingness to work closely with the interdisciplinary project team, and
  • self-initiative and a result-oriented working approach.

Application Process
Please prepare your application documents in German or English as a combined PDF document consisting of

  • a cover letter (including your motivation),
  • a CV,
  • your academic performance record (your grades during your Bachelor and Master studies including grading scale details),
  • a proof of your language proficiency, and
  • a copy of your Master's thesis or comparable student theses.

Please upload the documents at and send the link by e-mail to Prof. Thomas Deserno. Review of applications will begin with submission and will continue until the position is filled. Reimbursement of application costs is not possible.

 Offer of employment

For further questions, please contact:

Peter L. Reichertz Institut für Medizinische Informatik
Prof. Dr. Thomas Deserno
Mühlenpfordtstr. 23
Tel. +49 531 391 2130


PhD Position in Biomedical Image Analysis/Deep Learning

Biomedical Computer Vision Group, Heidelberg University, Germany

The research group Biomedical Computer Vision (BMCV) currently offers a PhD position in the field of Biomedical Image Analysis. The task is the development of methods and software for automated analysis of biomedical images using Deep Learning. The aim is to improve medical diagnosis and therapy. The work is carried out in cooperation with biomedical partners.

The BMCV group develops methods and algorithms for automated analysis of biological and medical images, in particular, cell microscopy images and medical tomographic images. A wide spectrum of methods is investigated including segmentation, tracking, registration, and machine learning. A focus is on deep learning methods. The group achieved excellent results in international competitions on tracking.

Candidates must have a Master (Diploma) in Computer Science, Electrical Engineering, Medical Informatics, Biomedical Engineering, Bioinformatics, Applied Mathematics, or a related discipline. We are looking for person with a background in Image Analysis and Deep Learning as well as good mathematical and programming skills. We also expect experience with software development systems and software container techniques. Candidates should be highly motivated, team-oriented, and interested in interdisciplinary research.

Please send your application per E-Mail to:

PD Dr. Karl Rohr

Heidelberg University, BioQuant Center, IPMB, and DKFZ

Biomedical Computer Vision Group

Im Neuenheimer Feld 267

69120 Heidelberg, Germany


E-Mail:  k.rohr (at)  or   k.rohr (at)