Health vacancies
PhD Position: Algorithmisation and Transformation of Work of Academic Medical Professionals
Utrecht University
The high-tech environment of academic hospitals is increasingly shaped by the use of algorithms for medical diagnosis and treatment. The introduction of algorithms is a transformation process which redefines work, professional roles and work relations in hospitals. Academic medical professionals in these hospitals are key actors since they are directly involved in the development of algorithms but, at the same time, their work is affected by these algorithms. This ethnographic study investigates the reconfiguration of academic professional work in the high-tech setting of algorithmicised academic hospitals and the implications for the organization and quality of healthcare.
Profile of the candidate
The candidate has a (research) master degree in public administration, organizational science, anthropology or comparable social science background. The candidate has a strong affinity with the above topics (healthcare, technology) and experience with ethnographic research in healthcare or a comparable professionalized area. The candidate speaks Dutch, has strong social skills and enjoys working in a multidisciplinary team.
Furthermore you have:
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Proven academic interest in questions regarding algorithmic applications and digital society;
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Interest in working in a very interdisciplinary, cross-university environment;
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Interest in contributing to and helping to create the broader algosoc research community;
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An excellent written and spoken command of English (written and spoken command of other languages, including Dutch, French, and/or German is a plus);
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Affinity with organising workshops, lecture series, and similar events.
If the vacancy appeals to you, but you are doubting whether you might be THE person we are looking for, please do apply. We encourage all qualified applicants, including minorities, women, people with disabilities, and members of other groups underrepresented in academia to apply. We wish to create a consortium that consists of persons who each contribute in their unique way to the team. Complementarity and not homogeneity is what we are looking for.
Developing a societal vision on automated decision making concerns us all. We believe that a diversity of perspectives in our consortium will be important in developing an inclusive societal vision and strive therefore also in our hiring policy for encouraging applicants from diverse backgrounds. We are committed to creating an environment of mutual respect, inclusiveness, equal opportunities with room for situated experiences, diverse perspectives, and ideas to flourish. This commitment applies to our research, organisation, room for flexibility, training, and community activities as well as our hiring strategy.