W2-Professorship for Management in Digital Healthcare

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 (business, medical) computer science or electrical engineering and information technology with competencies in digital transformation processes and data management, preferably in the healthcare industry;
  • Extensive and well-founded knowledge in the field of health economics, digital patient care, networking and interoperability of health data as well as digitalisation of business processes are required;
  • 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 industry experience and a noticeably high motivation to share your knowledge round off your profile;
  • You 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;
  • Specific achievements in the application or development of scientific knowledge and methods in at least five years of professional practice acquired after the completion of higher education studies and of which at least three years must have been pursued outside higher education;
  • 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 location. The European Campus Rottal-Inn is centrally located. It is 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

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...