PhD Position: New Players in ADS-based Services in Healthcare
The current health(care) ecosystem still consists of the traditional parties – care providers, patients, government, and insurance companies – and the license to operate has remained the same for all parties involved. New players, such as the big tech companies, are entering the arena with stronger investment capacity and new rules for engagement, with a range of innovations that make use of Algorithmic Decision Systems (ADS). They may disrupt healthcare systems by by-passing traditional practices, channels and funding structures. At the same time, they may also contribute to streamline and strengthen the current healthcare regime. This projects identifies the new players of ADS services, their products and business models, and their strategies regarding innovation, marketing and regulation.
Profile of the candidate
The candidate for this position has a master degree in innovation studies, economics, business administration or related discipline. The candidate has affinity with the broad topic of digitalization (information systems, algorithms, big data, digital platforms, Internet of Things), and an interest to work with quantitative and qualitative empirical methods.
Furthermore you have:
Proven academic interest in questions regarding algorithmic applications and digital society;
Interest in working in a very interdisciplinary, cross-university environment;
Interest in contributing to and helping to create the broader algosoc research community;
An excellent written and spoken command of English (written and spoken command of other languages, including Dutch, French, and/or German is a plus);
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.