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

Mobile Phone Data Helps Track Pathogen S…

A new way to map the spread and evolution of pathogens, and their responses to vaccines and antibiotics, will provide key insights to help predict and prevent future outbreaks. The...

AI Model to Improve Patient Response to …

A new artificial intelligence (AI) tool that can help to select the most suitable treatment for cancer patients has been developed by researchers at The Australian National University (ANU). DeepPT, developed...

Can AI Tell you if You Have Osteoporosis…

Osteoporosis is so difficult to detect in early stage it’s called the "silent disease." What if artificial intelligence could help predict a patient’s chances of having the bone-loss disease before...

Study Reveals Why AI Models that Analyze…

Artificial intelligence (AI) models often play a role in medical diagnoses, especially when it comes to analyzing images such as X-rays. However, studies have found that these models don’t always...

Think You're Funny? ChatGPT might b…

A study comparing jokes by people versus those told by ChatGPT shows that humans need to work on their material. The research team behind the study published on Wednesday, July 3...

Innovative, Highly Accurate AI Model can…

If there is one medical exam that everyone in the world has taken, it's a chest x-ray. Clinicians can use radiographs to tell if someone has tuberculosis, lung cancer, or...

New AI Approach Optimizes Antibody Drugs

Proteins have evolved to excel at everything from contracting muscles to digesting food to recognizing viruses. To engineer better proteins, including antibodies, scientists often iteratively mutate the amino acids -...

AI Speeds Up Heart Scans, Saving Doctors…

Researchers have developed a groundbreaking method for analysing heart MRI scans with the help of artificial intelligence (AI), which could save valuable NHS time and resources, as well as improve...

Researchers Customize AI Tools for Digit…

Scientists from Weill Cornell Medicine and the Dana-Farber Cancer Institute in Boston have developed and tested new artificial intelligence (AI) tools tailored to digital pathology - a rapidly growing field...

Young People Believe that AI is a Valuab…

Children and young people are generally positive about artificial intelligence (AI) and think it should be used in modern healthcare, finds the first-of-its-kind survey led by UCL and Great Ormond...