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New cross-cultural research project in Canada, UK, and Germany

Postdoctoral Research Associate (m/f/d)

11.12.2024, Wissenschaftliches Personal

For the research project “Advancing health data justice: A comparative study of health-related data governance in Canada, Germany, and the United Kingdom” (ADJUST), we are looking for a 100% postdoctoral research associate beginning as soon as possible in 2025, for a term of 3 years.

About us

The Institute of History and Ethics in Medicine (IHEM) is part of the School of Medicine and Health at the Technical University of Munich. At the Institute of History and Ethics in Medicine, we advance ethical practice and theory in medicine, biomedical technology, and public health, driven by the belief that embedding ethics is essential for shaping the future of healthcare, science, technology, society, and the environment. Our mission encompasses both theoretical and empirical methods to foster ethical, transparent, and interdisciplinary research, education and policy. The Institute works on an interdisciplinary basis and is highly networked both nationally and internationally.

About the position

For the research project “Advancing health data justice: A comparative study of health-related data governance in Canada, Germany, and the United Kingdom” (ADJUST), we are looking for a 100% postdoctoral research associate (TVöL-13) beginning as soon as possible in 2025, for a term of three years. The project will develop and apply the idea of “health data justice”, which is an approach to controlling who gets to access and use health-related data that specifically focuses on the needs of marginalized communities.

Marginalized communities are those who have faced historical disadvantage and continue to experience many challenges accessing safe, high-quality health and social care. Recent advances in technologies that need large amounts of health-related data to be built, such as health-focused artificial intelligence (AI), make it more urgent and important to ensure that uses of health-related data are in the best interests of marginalized communities. The project will explore policies, conduct interviews, and engage communities in three countries: Canada, the United Kingdom, and Germany. Comparing across these countries will make it possible to build new insights on health data justice. This position will conduct the empirical research for the German team, including health policy analysis, interviews with marginalized communities, and refining the health data justice framework within the German context.

Requirements:

- Candidates should have a university degree/doctorate in anthropology, sociology, philosophy, bioethics, STS, or a related social science discipline and experience in conducting and publishing research at an international level.

- Experience with qualitative empirical methods is necessary. Applicant should have demonstrated experience in designing, carrying-out, and analyzing qualitative research (specifically, interviews and focus groups). Experience working in the area of digital health and justice is an advantage.

- Experience conducting policy reviews, particularly in the area of health policy, is an advantage.

- All applicants must have strong analytical skills and a proven interest in interdisciplinary and team work.

- Fluency in German and English is essential. The research study will be conducted in German; applicants will be expected to write and publish in English, and collaborate regularly with project partners in Canada and the UK in English.


We offer:

- An excellent international, collaborative research environment at one of Europe's leading academic institutions with state-of-the-art equipment.

- Employment and remuneration according to the provisions of the collective agreement for the public service of the federal states up to TV-L E13, plus the attractive benefits of the public service such as capital-forming benefits and company pension scheme.


The Institute for the History and Ethics of Medicine at the Technical University of Munich strives for a safe, inclusive and collaborative working environment. We foster a culture in which everyone feels valued and heard and in which the personal development and well-being of the individual in the group are central.


Further notes and information

- TUM is striving to increase the ratio of women, and therefore expressly welcomes applications from female candidates.

- Applicants with disabilities will be given preferential consideration if equally qualified. The workplace is not completely barrier-free, not wheelchair accessible (listed old building).

- The weekly working time is 40 hours. The position is limited to 36 months.

- As part of your application for a position at the Technical University of Munich (TUM), you will submit personal data. Please note our data protection information in accordance with Art. 13 of the General Data Protection Regulation (GDPR) on the collection and processing of personal data in the context of your application https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application, you confirm that you have taken note of TUM's data protection information.

To apply, please send a cover letter expressing your motivation and preparation for the position, also describing your experience with qualitative methods, a CV, and up to three relevant publications. We look forward to receiving your informative documents. Please send them as a single PDF file (5 MB max) by Jan 17, 2025 by e-mail with the subject “ADJUST WiMi Application” to a.fiske@mh.tum.de, or by post to:

Technische Universität München

School of Medicine and Health

Institut für Geschichte und Ethik der Medizin

Dr. Amelia Fiske

Ismaninger Str. 22

81675 Munich


Phone: +49 89 4140 4041 office.ethics@mh.tum.de

https://get.med.tum.de/

www.tum.de

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: Dr. Amelia Fiske, a.fiske@tum.de

More Information

https://get.med.tum.de/