W2-Professorship for AI Medical Systems

Location: Pfarrkirchen, Germany
Job Type: Full-Time
Employer: Technische Hochschule Deggendorf
Young, dynamic and striving, the European Campus Rottal-Inn in Pfarrkirchen is a varied workplace and an extraordinary place for learning, teaching and research.

Expectations

  • You have a degree in medicine, electrical engineering, information technology or medical informatics with competencies in medical technology and digitization, especially in the health care industry;
  • You must have extensive and well-founded knowledge of health management, digital patient care, networking of health data, interoperability of medical devices, measurement methods of physiological parameters, knowledge of artificial intelligence technologies and Internet of Things;
  • You can interact constructively with students and colleagues and enrich the campus with your research and teaching activities. Your research should have the potential to inspire both scientists and practitioners. You document this with your scientific publications. National or international experience and a noticeably high motivation to share your knowledge round off your profile;
  • You will enjoy working creatively on the further development of existing degree programmes and the establishment of new ones. The eHealth Laboratory, for example, is at your disposal for this purpose. It focuses on sustainable health and health tourism applications and contributes to the international health profile of the location;
  • In view of the international orientation of the campus, your courses will be held exclusively in English.

Requirements

  • University degree;
  • Special aptitude for scientific work, usually demonstrated by the quality of a doctorate;
  • Pedagogical aptitude;
  • Special achievements in the application or development of scientific knowledge and methods in at least five years of professional practice which must have been acquired after completion of the university studies and of which at least three years must have been exercised outside the university area;
  • Proof of professional practice outside the higher education sector may, in special cases, be furnished by the fact that, over a period of at least five years, a significant part of the professional activity was carried out in cooperation between the higher education institution and non-university professional practice.

Your workplace is located directly on campus. If required, teaching events should also be held at the Deggendorf campus. The European Campus Rottal-Inn is centrally located in the charming district town of Pfarrkirchen, which belongs to the administrative district of Lower Bavaria and is located in the southeast of Germany. The city between Danube and Inn is idyllically situated and offers many leisure activities. Pfarrkirchen has excellent school and educational facilities. Attractive cities nearby are Passau, Regensburg, Linz and Salzburg. Munich International Airport is only a 90-minute drive away. The proximity to Austria and the Czech Republic puts the district town in the centre of Europe.

The position is suitable for people with severe disabilities. Severely handicapped applicants will be given preference if they are otherwise of essentially the same aptitude, ability and professional performance.

The Deggendorf Institute of Technology aims to increase the proportion of women in scientific staff.

Those who have not yet reached the age of 52 can be appointed as civil servants.

The salary is paid as a W-2 professorship in accordance with the Bavarian Salary Act. In addition, the university offers so-called performance payments and individual research and teaching allowances for other benefits.

Applications with the usual documents (cover letter, curriculum vitae, proof of qualification, references, publication list and three specialist references) must be submitted by January 12, 2020.

Apply for this job

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

Most Popular Now

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

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...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

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...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

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...

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...

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...

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...