PhD Studentship and Postdoctoral Fellowship at Egenis, University of Exeter

The Department of Sociology, Philosophy & Anthropology of the University of Exeter (UK) is advertising two positions in connection to Sabina Leonelli’s ERC project 'The Epistemology of Data-Intensive Science' (DATA_SCIENCE):

(1) A Research Fellowship available from 1 October 2014 until 31 March 2018. The successful applicant will investigate how the use of online databases is affecting research practices and outcomes in biomedicine. This study will be carried out in collaboration with scholars conducting similar research on other fields, so as to facilitate comparison across different sciences. The successful applicant will have a PhD or equivalent in the philosophy, history and/or social studies of biomedicine. The ability to conduct ethnographic research is desirable but not essential, as long as the applicant is willing to be trained as required to conduct this type of research. The deadline for applications is 29 April 2014; interviews are expected to take place on 27 May 2014. Detailed job description and application procedure: https://jobs.exeter.ac.uk/hrpr_webrecruitment/wrd/run/ETREC107GF.open?VACANC...

(2) A fully funded studentship, available from September 2014 to September 2017, for a Home / EU student studying for an MPhil / PhD programme in the Exeter Centre for the Study of the Life Sciences (Egenis). Egenis has a strongly interdisciplinary culture, encompassing a range of perspectives from social science, biology, history and philosophy. Topics of relevance include open science and the ways in which scientific data are disseminated and processed today, or have been in the past; data production, dissemination and interpretation in biological research (an interest in yeast, fungi or plants will be particularly valued); epistemological, political, social and ethical issues to do with data processing in biology and biomedicine. A wide range of other topics in the philosophy, history and social studies of science will be considered, as long as candidates make an argument for how they would fit in the DATA_SCIENCE project. Detailed description and application procedures: http://www.exeter.ac.uk/studying/funding/award/?id=1383

For further information on either post please contact Dr Leonelli, e-mail S.Leonelli@exeter.ac.uk.

The University of Exeter is an equal opportunity employer which is 'Positive about Disabled People'. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.