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

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Almost All Leading AI Chatbots Show Sign…

Almost all leading large language models or "chatbots" show signs of mild cognitive impairment in tests widely used to spot early signs of dementia, finds a study in the Christmas...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...

Bayer Acquires HiDoc Technologies and Ca…

Bayer is today announcing that it plans to acquire HiDoc Technologies GmbH in the first quarter of 2025 and to start commercialization of the digital health application, Cara Care®. Cara...

AI-Based Chatbot Created for Bioimage An…

Scientists from Universidad Carlos III de Madrid (UC3M), together with a research team from Ericsson and the KTH Royal Institute of Technology in Sweden, have developed an artificial intelligence-based software...

Analyzing Multiple Mammograms Improves B…

A new study from Washington University School of Medicine in St. Louis describes an innovative method of analyzing mammograms that significantly improves the accuracy of predicting the risk of breast...

Emotional Cognition Analysis Enables Nea…

A joint research team from the University of Canberra and Kuwait College of Science and Technology has achieved groundbreaking detection of Parkinson's disease with near-perfect accuracy, simply by analyzing brain...