Research Position

Kontrast ändern

The Department of Demograhy and Health (AG8) at the School of Public Health has the following job opening:

Research Position

ID: Wiss25106

• starting: 01.06.2025
• part-time 75 %
• salary according to Remuneration level 13 TV-L
• fixed-term (with option to extend)
  
  

The interdisciplinary research agenda of AG8 is at the intersection of social epidemiology, health demography and gerontology. It includes four research pillars, which aim to quantify how demographic and social characteristics and behaviors impact individuals’ health and survival. Leveraging high-quality Nordic register data and longitudinal survey data, these projects adopt a life-course framework to study how life experiences shape individuals’ health and health behaviors.

The AG8 research agenda includes the following overarching research areas:

• trends and determinants of e-health use
• consequences of long commutes to work for the health of commuters and their family members
• health and health behavioral changes after experiencing a stressful life event
• trajectories of health at older ages (with focus on single major chronic conditions and
• multimorbidity)
  
  

The successful applicant should contribute to one or more of the research themes of the AG8 research.

Your Tasks

Research activities (70 %):

• design and conduct quantitative research based mostly on longitudinal register-based data and health survey data
• publish results in international peer-reviewed journals
• collaborate on research tasks with multidisciplinary and international research teams
• participation in national and international scientific conferences and workshops
• contribution to the third-party funding acquisition (primarily methods section)
  
  

Teaching activities (25 %):

• contribute to teaching activities carried out by AG8 (e. g., Methods of demographic analysis – Global Aspects, Survey Research Methods)
  
  

Administrative work (5 %):

• contribute to other activities at the School of Public Health (e. g. administrative tasks, participation in appointment committees, organization of a workshop)
  
  

Employment is conducive to scientific qualification.

We offer

• salary according to Remuneration level 13 TV-L
• fixed-term (with option to extend) for 2 years (the extension is subject to additional funds); (
• 2 (1) of the WissZeitVG; in accordance with the provisions of the WissZeitVG and the Agreement on Satisfactory Conditions of Employment, the length of contract may differ in individual cases)
• part-time 75 %
• internal and external training opportunities
• variety of health, consulting and prevention services
• reconcilability of family and work
• constant place of work (Bielefeld) without travel activities
• flexible working hours
• good transport connection
• supplementary company pension
• open and pleasant working atmosphere
• modern work environment with digital processes
• various offers (canteen, cafeteria, restaurants, Uni-Shop, ATM, etc.)
  
  

Your Profile

We expect

• completed or well-advanced scientific university studies (e. g. Master or Diploma) in demography, public health, sociology, health economics, data sciences or another relevant area of expertise
• solid knowledge of advanced quantitative methods, e.g., panel data analysis and causal inference analysis
• knowledge of statistical software (preferably) R or Stata
• experience with analyzing health-related survey data
• excellent written and spoken German and English skills
• clear analytical thinking and capacity to take on novel topics
• ability to work independently and in a team
• excellent communication skills
• ability to prioritize workload in an environment with competing demands and to manage timelines and deliverables
• ability to work in and have respect for an intercultural environment
  
  

Preferred Experience And Skills

• experience in working with demographic data
• experience in teaching (e.g., preparing tutorial materials)
• interest in pursuing PhD
• research or study stays abroad
• gender and diversity competences
  
  

Application Procedure

We are looking forward to receiving your application. To apply, please preferably use our online form via the application button below.

The application should include the following (in addition to the CV, please include all other documents in a single pdf file):

• a detailed CV
• a letter of motivation that describes how your expertise fits into the research agenda of the group. Please include also your research accomplishments, and highlight your statistical and technical skills and areas of expertise (maximum two pages)
• a writing sample (e. g., a publication or a Master’s thesis)
• full contact information (names, e-mail, and postal addresses) of two references.
  
  

If you have any questions about the position, please contact Prof. Dr. Anna Oksuzyan (anna.oksuzyan[AT]uni-bielefeld.de), for administrative questions please get in touch with Ms. Regine Myska (regine.myska[AT]uni-bielefeld.de).

application deadline: 28.05.2025

Contact

Prof. Dr. Anna Oksuzyan

anna.oksuzyan[AT]uni-bielefeld.de

Postal Address

Universität Bielefeld

Fakultät für Gesundheitswissenschaften

Regine Myska

Postfach 10 01 31

33501 Bielefeld

Bielefeld University has received a number of awards for its achievements as an equal-opportunity employer and has been recognized as a family-friendly university. The university welcomes applications from women. This is particularly true with regard both to academic and technical posts as well as positions in information technology as well as the skilled crafts and trades. Applications are handled according to the provisions of the state statutes on equal opportunity. Applications from suitably qualified handicapped and severely handicapped persons are explicitly encouraged. At Bielefeld University on request positions can be carried out with reduced working hours as long as this does not conflict with official needs.

open as PDF

Datenschutzeinstellung

Diese Webseite verwendet Cookies und ähnliche Technologien. Einige davon sind essentiell, um die Funktionalität der Website zu gewährleisten, während andere uns helfen, die Website und Ihre Erfahrung zu verbessern. Falls Sie zustimmen, verwenden wir Cookies und Daten auch, um Ihre Interaktionen mit unserer Webseite zu messen. Sie können Ihre Einwilligung jederzeit unter Datenschutzerklärung einsehen und mit der Wirkung für die Zukunft widerrufen. Auf der Seite finden Sie auch zusätzliche Informationen zu den verwendeten Cookies und Technologien.

Alle akzeptieren

Nur notwendige Cookies zulassen

Impressum

Datenschutz

Barrierefreiheit