Phd Student in Health Economics, Epidemiology, Health Services Research, Public Health, And/or Migration

The fixed-term position ends November 30, 2028 with the possibility of extension.

We are particularly looking for scientific support for the following three sub-projects:

- Sub-project 1 - Health-related inequalities: Analysis of health-related inequalities and gaps in care among people with a migration background using large secondary data sources such as claims data and data from the NAKO health study (PD Dr. Jan Zeidler).
- Sub-project 2 - Care quality: Randomized field experiment to improve care quality from a diversity-oriented perspective of nursing home residents (Prof. Dr. Arndt Reichert, Prof. Dr. Annika Herr).
- Sub-project 3 - Mental health: Analysing inequalities and specific needs of LGBTQIA* people as well as their physical and mental health in cooperation with psychologists and psychiatrists at the MHH. This position also includes involvement in teaching (Prof. Dr. Annika Herr).

Your role
- The tasks include the independent, scientific conduct of quantitative (and possibly qualitative) data analyses in the HUMAN-LS joint project.
- You will be responsible for data preparation, validation and data analysis.
- You will present the results to a national and international audience of experts and prepare them for the public.
- You will write scientific publications based on the generated results.
- You will cooperate with scientists from the institute and the joint project.
- You will have access to interdisciplinary training opportunities and actively participate in the doctoral programme.
- The research work provides the basis for preparing for a doctorate.

Who are we looking for?

You will support our highly qualified project team with your independent scientific expertise. Prerequisite for employment is a completed university degree (diploma/master's degree) in economics, health economics, health sciences/public health, health services research, psychology, medicine (epidemiology), migration, or a comparable field of study.

We also expect the following qualifications:

- Excellent statistical knowledge and initial experience in analysing large datasets are required.
- Initial experience with statistical software (e.g., R, Python, or Stata) is required.
- Applicants should have an interest in scientific work and publishing, an independent and flexible working style, team spirit, and reliability.
- Excellent German and English language skills are required (fluent).

**Why join us?**

Doctoral students are involved in interdisciplinary working groups that focus on key methodological and content-related aspects of the HUMAN-LS project, enabling in-depth exploration and development of the field. An international exchange program promotes integration into an international network and the further development of methods based on highest international standards, as well as the discussion of results with experienced international colleagues. Within the framework of a doctoral program, selected courses in economics, quantitative methods, public health, psychology, and epidemiology can be taken at the participating universities.

Part-time employment as well as remote work (mobile work, work from home) can be arranged upon request. We support employees with balancing work and family life, through services such as back-up childcare, childcare during school holidays, and parent-child offices, as well as providing individual advice regarding family responsibilities and caring for dependants.

To promote health and well-being among employees, we offer an extensive sports programme with over 100 different sports, as well as a fitness centre with a sauna and climbing space. Health management measures, such as courses on stress management, good nutrition and relaxation, aim to ensure a healthy workplace.

**Additional information**

or by post to:
**Gottfried Wilhelm Leibniz Universität Hannover**
Institut für Gesundheitsökonomie (IHE)
Prof. Dr. Annika Herr
Königsworther Platz 1, 30167 Hannover