Professor of Medical Informatics

Location: Munich, Germany
Job Type: Full-Time
Employer: Technical University of Munich (TUM)
The professorship belongs to the TUM School of Medicine, one of Germany's top medical schools in research and teaching. The professorship will be part of the Institute of Medical Informatics, Statistics and Epidemiology at TUM's university hospital Klinikum rechts der Isar, which focuses on translational information processing, information integration, information security and data privacy. The institute is coordinating the consortium DIFUTURE (Data Integration for Future Medicine) as part of the German Medical Informatics Initiative and is participating in CRC 1321.

Responsibilities

Responsibilities of the position include research and teaching, and the promotion of early-career scientists. The teaching load includes courses in the subject area and fundamentals courses offered by the department, as well as courses for other TUM schools and departments.

We seek to appoint an expert for the development and implementation of:

  • innovative information systems for translational medicine, research and/or health care
  • informatics concepts for integration and analysis of heterogeneous data
  • innovative concepts for the protection of highly sensitive data
  • decision support systems
  • concepts and methods of digital medicine and digital health.

Qualifications

We are looking for a candidate with a university degree and an outstanding doctoral degree or equivalent scientific qualification, who has demonstrated excellent achievements in research and teaching in an internationally recognized scientific environment, regarding the relevant career level. Pedagogical aptitude, including the ability to teach in English, are also prerequisites. Substantial research experience abroad is expected. Candidates are expected to be fully committed to conducting interdisciplinary research in collaboration with TUM scientists and relevant groups in Munich and in the greater Munich area, especially in the area of bioinformatics. Moreover, candidates should possess a proven ability to establish, acquire and lead competitive and cooperative research projects in medical informatics. Profound knowledge in system architectures, software development, ontologies and standards, as well as profound knowledge in informatics concepts for the fields of information systems, data integration, Big Data in medicine, security and privacy is expected.

Our Offer

Based on best international standards and transparent performance criteria, TUM offers a merit-based academic career option from a permanent position as Associate Professor on to Full Professor. The regulations of TUM Faculty Recruitment and Career System apply.

TUM provides excellent working conditions in a lively scientific community, embedded in the vibrant research environment of the Greater Munich Area. Furthermore, TUM offers attractive and performance-based salary conditions and additional social benefits.

The TUM Munich Dual Career Office (MDCO) provides tailored career consulting to the partners of newly appointed professors. MDCO gives assistance for relocation and integration of new professors, their partners and accompanying family members.

Your Application

TUM is an equal opportunity employer. As such, we explicitly encourage applications from women. Applications from disabled persons with essentially the same qualifications will be given preference. Application documents should be submitted in accordance with TUM's application guidelines for professors. These guidelines and detailed information about the TUM Faculty Recruitment and Career System are available on http://www.tum.de/faculty-recruiting. Here, you will also find TUM's information on collecting and processing personal data as part of the application process.

Please send your application no later than May 15, 2019 to the Dean of the TUM School of Medicine, Prof. Peter Henningsen, Ismaninger Str. 22, 81675 München, Email address for your application: This email address is being protected from spambots. You need JavaScript enabled to view it..

This email address is being protected from spambots. You need JavaScript enabled to view it.

Post your job offer now to start hiring the best digital health talent! For further information, please contact us.

Most Popular Now

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

AI could Help Improve Early Detection of…

A new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center suggests that artificial intelligence (AI) could help detect interval breast cancers - those that develop between...

Reorganisation, Consolidation, and Cuts:…

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board...

AI-Human Task-Sharing could Cut Mammogra…

The most effective way to harness the power of artificial intelligence (AI) when screening for breast cancer may be through collaboration with human radiologists - not by wholesale replacing them...

Siemens Healthineers infection Control S…

Klinikum Region Hannover (KRH) has commissioned Siemens Healthineers to install infection control system (ICS) at the Klinikum Siloah hospital. The ICS aims to effectively tackle nosocomial infections and increase patient...

AI Tool Uses Face Photos to Estimate Bio…

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm...

Philips Future Health Index 2025 Report …

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its 2025 Future Health Index U.S. report, "Building trust in healthcare AI," spotlighting the state of...

AI-Powered Precision: Unlocking the Futu…

A team of researchers from the Department of Diagnostic and Therapeutic Ultrasonography at the Tianjin Medical University Cancer Institute & Hospital, have published a review in Cancer Biology & Medicine...

AI Model Improves Delirium Prediction, L…

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium and...

Building Trust in Artificial Intelligenc…

A new review, published in the peer-reviewed journal AI in Precision Oncology, explores the multifaceted reasons behind the skepticism surrounding artificial intelligence (AI) technologies in healthcare and advocates for approaches...

SALSA: A New AI Tool for the Automated a…

Investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep...