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Research Associate in Social Science Analysis of Digitalisation and Climate Change

Psychology - UK Jobs
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https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=157689

The Environmental Change Institute (ECI) is seeking to appoint a highly motivated post-doctoral researcher to investigate the impacts of digitalisation in daily life on energy use, material use, and carbon emissions. The successful applicant will be part of the iDODDLE project team at Oxford, led by Professor Charlie Wilson. iDODDLE aims to understand the ways in which digitalised daily life impacts energy and material use, under what social and institutional conditions, and with what implications for net-zero transition pathways.

You will be an empirical social scientist with experience of questionnaire survey design and analysis. Your main role will be to test hypotheses on how digitalised daily life impacts carbon emissions using nationally representative online surveys in European countries. You will lead on the design and analysis of questionnaire surveys to measure variation in the conditions and impacts of digitalised daily life on climate change. You will liaise with selected market research companies who will implement the survey instrument on their respondent panels. You will use appropriate statistical methods to analyse the survey data, including regression modelling and data reduction techniques.

You will hold, or be close to completion of, a PhD (or DPhil) in a relevant quantitative social science discipline including, but not limited to, psychology, sociology, environmental studies, economics, business studies, geography. You will be familiar with digitalisation and/or climate change mitigation literature and research. You will have demonstrated the capacity to research and publish on relevant topics, build research collaborations, and present research findings. You will have excellent written and spoken English, good IT skills, good team working skills, and a demonstrated ability to understand and analyse data.

This is a full-time, fixed-term posts for 30 months starting in September/October 2022 or as soon as possible thereafter. Part-time working arrangements can also be discussed.

Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.

The closing date for applications is 12.00 noon on Friday 1 July 2022, and interviews will be held in mid-July 2022.

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October 2022
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