UvA PhD Researcher job in Humanities, Social sciences

University of Amsterdam (UvA)

The Netherlands

Faculty of Humanities, Amsterdam School for Cultural Analysis invites applications for a PhD Researcher in Data Bodies, at University of Amsterdam (UvA), the Netherlands

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General Info

Position: PhD Researcher
No. of Positions: 1
Research Field: ,
Deadline to Apply: Expired
Joining Date: Jan 01, 2022
Contract Period: 4 Years
Salary: 2,434 to 3,111 Euro/Month

Workplace:
Faculty of Humanities
Amsterdam School for Cultural Analysis
University of Amsterdam (UvA)
Amsterdam,

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Qualification Details

  • A completed Masters degree with a relevant specialization within humanities or social sciences.
  • You may apply if you have not yet completed your Masters degree only if you provide a signed letter from your supervisor stating that you will graduate before 1 January 2022;
  • An affinity with empirical research using relevant qualitative and/or quantitative methods
  • Excellent command of English.
  • Good command of Dutch would be an advantage, but we also offer courses.

Please note that if you already hold a doctorate/PhD or are working towards obtaining a similar degree elsewhere, you will not be admitted to a doctoral programme at the UvA.

Responsibilities/Job Description

  • submission of a PhD thesis within the period of appointment;
  • conducting empirical research, writing publications;
  • participating in conferences and seminars.
  • participation in the ASCA and Faculty of Humanities PhD training programmes;
  • teaching courses at BA-level or other types of activities in the 2nd and 3rd year of the appointment (0,2 FTE per year).

How to Apply?

Online Application through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: -
(If any, use it in the necessary place)

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Documents Required

Applications should include the following information, in one pdf file (not zipped):

  • an application letter describing your qualifications, motivation for the position and interest in the topic (maximum 2 pages);
  • a research proposal of maximum 1000 words, including theoretical perspective(s) and methodologies you would draw on;
  • A full academic CV;
  • a transcript of your Bachelor’s and Master's degrees. Applicants with education from a foreign university must attach an explanation of their university's grading system;
  • the contact information for two academic references (no letters of recommendation need to be sent in at this point).

Please upload your one pdf file under the CV button.

About the Project

From a critical humanities perspective, the suggested project on Data Bodies maps how hospital communities as a whole (patients and doctors) and their relations are mediated through data and algorithmic decisions. More specifically, it examines how data and algorithmic decisions are employed in two proof-of-concept applications of AI-driven health decision-making. The project is situated within the Research Priority Area on Health AI of the UvA, which is led by the Health Faculty. The PhD will be part of this initiative and will work with other researchers from Health, Law and Computer Science. Adopting a ‘data lens’, this PhD project aims to understand the moment of information as it finds its way across the AI-driven decision-making process. It offers insights into how human and machine agents get in contact with each other, how value is added through reasoning, what happens when, e.g. issues/errors are discovered and how they are corrected.

Data Bodies will be operationalized through a mixed method, participatory research methodology to explore the representation and experience of bodies through data and reasoning with data in AI. We will map how Data Bodies are constructed within the process of AI modelling in healthcare and how differences in body representations might generate ethical dilemmas. Do data forms and flows respect patients’ and public values? How is the hospital community affected by differences in data bodies? And how are these data processes embedded in the larger organization of the hospital and related to legacy systems of patient monitoring? The research is concerned with the ways in which patients' digital information is collected, stored, and shared in health processes. A detailed critical study of different data forms and flows will show how the involved data systems are ethically and historically constituted and materialize uncertainty of measurements and predictions that influences the behaviour of medical professionals and patients alike.

About the Department

The Faculty of Humanities provides education and conducts research with a strong international profile in a large number of disciplines in de field of language and culture. Located in the heart of Amsterdam, the faculty maintains close ties with many cultural institutes in the capital city. Research and teaching staff focus on interdisciplinary collaboration and are active in several teaching programmes.

Curious about our organisation and attractive fringe benefits such as a generous holiday arrangement and development opportunities? Here you can read more about working at the University of Amsterdam.

About the Employer: University of Amsterdam (UvA)

Note or Other details

What else do we offer

  • PhD candidates receive a tuition fee waiver.
  • PhD candidates have free access to courses offered by the Graduate School of Humanities and the Dutch National Research Schools.
  • Excellent possibilities for further professional development and education.
  • An enthusiastic, inspiring and professional academic team.

We offer a challenging work environment with a variety of duties and ample scope for individual initiative and development within an inspiring organisation. The new RPA will constitute a hub for interdisciplinary research regarding AI-driven health decision-making by joining expertise and forces across UvA faculties, embedding these long-term in their research profiles. You will contribute to setting-up a novel infrastructure and define procedures for data collection, develop AI technology to support real clinical decision-making, perform validation, and initiate valorization.

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Contact details

Do you have any questions, or do you require additional information? Please contact:

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