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Lehrstuhl für Medical Data Science (W 3) – englische Fassung

Eckdaten

Hochschule
Uni Passau
Website
uni-passau.de ↗
Standort
Passau
Stellenart
Professur
Vergütung
W3
→ W1, W2 und W3 erklärt
Bewerbungsfrist
18.10.2026
Fachgebiete
Data Science, Epidemiologie, Humanmedizin, Informatik, Medizinische Informatik, Statistik

The University of Passau owes its strong visibility and good repute to excellent research,

innovative teaching and its tight-knit international academic networks. Some 11,000 students

and doctoral researchers and more than 1,300 staff study and work on our university campus,

which is located a stone’s throw from the historic Old Town of Passau and combines state-of-

the-art technical infrastructure with award-winning architecture. Internationally successful hightech companies and a vibrant start-up scene, coupled with a rich culture and Lower Bavarian

traditions, give Passau and the surrounding area a special appeal that makes it a great place

to live and work.

The Institute of Health Sciences (IGW) is a central unit of the University of Passau and a key

partner in the Lower-Bavarian Medical Campus (MCN).

Under the leadership of the University of Regensburg, a new medical degree programme is

being established as part of the MCN in cooperation with the University of Passau as well as

eight hospitals and two universities of applied sciences in Lower Bavaria. As an inter-faculty

platform, the IGW draws from the combined expertise of all departments at the University of

Passau and integrates technical methods from mathematics and computer science, economic

and management-oriented approaches in healthcare, as well as ethical considerations with

health-related questions.

The Faculty of Computer Science and Mathematics at the University of Passau invites

applications for the tenured civil-service post of:

Chair of Medical Data Science (pay grade W3)

We are seeking a candidate with an outstanding international academic track record in modern

subfields of medical data science, whose research should be focused on the development and

application of statistical methods for the analysis of complex biomedical data, whilst placing a

particular emphasis on translational orientation and close alignment with clinical questions.

The Chair’s research activities will have an expressly close connection to medicine, as

demonstrated by relevant scientific publications, including in medical or health-science

contexts. Moreover, the Chair will actively contribute to the Institute of Health Sciences (IGW)

and play a pivotal role in its development, ensuring its successful launch, academic growth and

external recognition. In this capacity, the Chair will contribute significantly to the integration of

medical, health-science and data-science perspectives and will strengthen the University’s

interdisciplinary profile in health and medicine.

The Chair will offer statistical consultancy to all IGW partners, external collaborators and

medical doctoral candidates. This includes the development and application of suitable

statistical models, the analysis of complex datasets and advice on study designs and empirical

analyses.

The postholder will represent the subject in research and teaching. In teaching, he or she is

expected to deliver courses in epidemiology, medical biometry and medical informatics in

accordance with the ÄApprO (German licensing regulations for physicians), which are required

for the Medizin Niederbayern degree programme within the framework of the MCN. The

postholder is also expected to teach courses in the University’s interdisciplinary degree

programmes – some of which are taught in English – and contribute to their design and further

development.

An aptitude for university-level teaching and the ability to lead courses independently are key

selection criteria. Regarding research, high-quality publications, integration into an

international research environment and experience in securing national or international

external funding are expected. Links to other research topics within the faculty and a

willingness to engage in interdisciplinary collaboration within the faculty, the MCN and the IGW,

as well as with industrial partners, are desirable.

The successful candidate will be educated to doctoral level and have demonstrated both

pedagogical aptitude and academic excellence, whereby the latter is generally established on

the basis of the quality of his or her doctoral research and subsequent academic achievements.

He or she will, furthermore, possess the German formal postdoctoral habilitation qualification

or an equivalent body of academic achievements garnered whilst employed at an institution of

higher education – for instance as a juniorprofessor or in a comparable position with a different

title (e.g. assistant professor or lecturer), insofar as the duties and qualification profile

correspond to those of a juniorprofessor position – or within a suitable qualification programme,

such as the Emmy Noether Programme of the German Research Foundation (DFG); the

habilitation-equivalent achievements may also have been attained outside the higher education

system. In accordance with Art. 60(3) sentence 1 BayHIG, candidates must not be more than

52 years of age at the time of their appointment.

The University of Passau actively promotes equal opportunities for all genders as well as

diversity in the workforce; therefore, applications are welcome from all candidates who fulfil the

requisite qualifications, without regard to gender, cultural or social background, religion, world

view, disability or sexual identity. As the University wishes to raise the proportion of women in

research and teaching, female academics are expressly encouraged to apply. This position is

suitable for candidates with disabilities. Those who are registered disabled are given

preference over non-disabled applicants who do not otherwise have statutory preferential

status if their overall personal aptitudes, skills and qualifications are equal.

To be considered, your application must reach the University by 18 October 2026. Your full

application should include all relevant supporting documents (curriculum vitae, list of

publications, teaching assignments, teaching evaluations etc. as well as three articles

published in the past five years that are representative of your research output) and should

preferably be sent by e-mail to dekanat@fim.uni-passau.de. It should be addressed to the

Dean of the Faculty of Computer Science and Mathematics of the University of Passau,

Professor Gordon Fraser, 94030 Passau, Germany. When e-mailing your application, all

application documents should be attached as a single pdf file. E-mailed applications are kept

on file for six months after the conclusion of the appointment procedure, whereupon they are

deleted from our systems.

Please visit www.uni-passau.de/en/university/current-vacancies for our data privacy policy.

Um dich für diesen Job zu bewerben, besuche bitte www.uni-passau.de.

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