W1 Professorship (with W2 tenure track) in Research Software Engineering for Pulmonary Phenotyping

The Faculty of Medicine of
Justus Liebig University Giessen (JLU),
Cluster of Excellence – Cardio-Pulmonary Institute (CPI) invites applications for a

W1 Professorship (with W2 tenure track)
in Research Software Engineering for Pulmonary Phenotyping

as of July 1 st , 2027, for a period of five years pursuant to § 70 Para. 3 and 4 Hessian Higher Education Act (HessHG). According to § 70 Para. 3 HessHG, applicants (m/f/d) should have gained a doctoral degree at an institution of higher education other than JLU or have been in academic employment at an institution other than JLU for at least two years after conferral of a doctoral degree.

The duration of applicants’ scientific activity during and after completion of the doctoral degree should not exceed nine years or the duration of activity after the doctorate should not exceed four years. In the case of successful completion of the five-year W1 position, which is to be assessed in an evaluation procedure pursuant to § 70 Para. 2 HessHG, the appointment will be converted into a permanent W2 professorship.

Proficient knowledge of German is expected.

The Cardio-Pulmonary Institute (CPI;  ) is a unique institute supported by the Excellence Strategy of the German Research Foundation (DFG), featuring a collaboration between JLU, Goethe University Frankfurt, and Max Planck Institute for Heart and Lung Research in Bad Nauheim. At JLU, CPI research is located on the Biomedical Research Campus, hosting the research facilities Biomedical Research Center Seltersberg, Institute for Lung Health (from 2027 on), Cluster of Excellence Cardio-Pulmonary Institute building, and the Center for Infection and Genomics of the Lung .

In this vibrant environment of internationally renowned basic and translational lung research, the CPI focuses on parenchymal, vascular, and immune compartments in lung physiology and disease as well as on heart and lung interactions in health and disease.

In the context of the Cardio-Pulmonary Institute at the Department of Internal Medicine, you are expected to establish and lead your own research group, supervise graduate students during their PhD studies, and generally represent the professorship’s field in both research and teaching.

The topic of this professorship includes integration and analysis of complex epidemiological, biomedical, and clinical data sets in the field of lung diseases and development of machine-learning-based tools.

You should have a vision for an innovative research program and a strong motivation to interact with research groups in basic, translational, and clinical lung science within the CPI and in further local, national and international research consortia, e.g. CRC 1213 – Pulmonary Hypertension and Cor Pulmonale, the German Center for Lung Research (DZL;  ), the German Center for Infection Research (DZIF;  

), and the Institute for Lung Health (ILH;  ). Participation in the Giessen Graduate Centre for the Life Sciences (GGL), in the structured doctoral program (JLU TRAINEE), and in the clinician scientist program (JLU CAREER) is also expected, as is the independent acquisition of external funding, preferably from the DFG, the BMFTR, and the EU.

The integration of gender aspects into research and teaching is explicitly desired.

The universities of Giessen and Marburg have established the Research Campus of Central Hessen together with Technische Hochschule Mittelhessen – University of Applied Sciences. Within this framework, the two Faculties of Medicine engage in structured cooperation based on coordinated priorities. Accordingly, you are expected to demonstrate a willingness for interdisciplinary and inter-university collaboration within campus research foci and profile areas as well as participation in joint research projects.

You are required to have an internationally recognized scientific track record in the field as well as a multimodal portfolio integrating and analyzing complex epidemiological, biomedical, and clinical data sets in the field of lung diseases.

In particular required are an internationally visible profile in the field of research software engineering, demonstrated…