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

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

Two Artificial Intelligences Talk to Eac…

Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

AI-Based App can Help Physicians Find Sk…

A mobile app that uses artificial intelligence, AI, to analyse images of suspected skin lesions can diagnose melanoma with very high precision. This is shown in a study led from...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Researchers Develop Deep Learning Model …

Researchers have developed a new, interpretable artificial intelligence (AI) model to predict 5-year breast cancer risk from mammograms, according to a new study published today in Radiology, a journal of...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...