|Salary:||£32,236 to £34,189 p.a. (Grade 7)|
|Placed On:||19th September 2019|
|Closes:||23rd October 2019|
Said Business School, Park End Street, Oxford
Applications are invited for a Postdoctoral Research Fellow in Organisational Studies and Reputation at the Saïd Business School, University of Oxford. The postholder will report to Professor Matthias Holweg and be based in the Oxford University Centre for Corporate Reputation (CCR). The Research Fellow will work closely with members of the school’s faculty on research into the conceptual and empirical analysis of reputational risks stemming from the application of machine learning algorithms within organisations, toward developing strategies for managing the ensuing risks.
The Research Fellow will be expected to conduct academic research under the direction and guidance of, and in collaboration with, the PI, Professor Holweg. Research output is expected to be publishable in the premier peer-reviewed academic journals in the wider field of management. All researchers in the CCR should also be prepared to contribute to policy-related and practitioner-oriented outputs. The successful candidate will also be responsible for key research activities such as (but not limited to) gathering and cleaning data, reviewing literature and writing academic papers, as well as participating actively in CCR activities like annual conferences and research seminars.
The postholder will hold, or be nearing completion, of a doctoral degree (DPhil, PhD) in a discipline relevant to the centre and project. These include, but are not limited to, management, computer science, engineering and sociology. The Research Fellow will have the ability to engage with and contribute to the core literatures on reputation, strategy, and applied machine learning. They will also have the ability to publish in premier management, organisation, and reputation journals (e.g., FT 50 journals), as demonstrated by publications in those journals or advanced working papers targeted at and suitable to those journals.
To apply for this role and for further details, including a job description and person specification, please click on the link below. Applications for this vacancy are to be made online. Please submit your CV and supporting statement along with two academic references with your application.
The closing date for applications is 12.00 noon on Wednesday 23 October 2019.
Closing Date: 23-OCT-2019 12:00
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