Postdoctoral Research Associate in Causal Methods

Applications are invited for a Postdoctoral Research Associate to join the KPMG-Cambridge Partnership 'Future of Work': Mental Wellbeing Pillar (MWB), led by Professor Gordon Harold with co-leads Professors John Aston (Department of Pure Mathematics and Mathematical Statistics) and Diane Coyle (Department of Politics and International Studies).

Under the supervision of Professors John Aston and Qingyuan Zhao, the post holder will be responsible for supporting the research objectives of the MWB pillar, including development of methodology for associated data questions, with particular emphasis on Causal Modelling and Functional Data. Specifically, the post holder will be expected to substantively contribute to new MWB pillar focused research projects and initiatives; utilise UK and other international longitudinal datasets, working specifically with project aligned data and related resources, implementing advanced statistical methods to examine factors that influence mental health and wellbeing; with a focus on workplace and workforce applications and interventions.

Candidates must hold a PhD or other doctoral-level qualification in Statistics or a related discipline.

The position is full-time and fixed-term for 3 years in the first instance.

Please see the further particulars for full details of the duties of the post and the criteria for appointment.

Informal enquiries can be made to Professor John Aston (jada2@cam.ac.uk).

To apply online for this vacancy and to view further information about the role, please click on the apply button above.  

This vacancy is real. In addition, this vacancy is being studied as part of the Action Research on Research Culture project (ARRC) Action Research on Research Culture ' (cam.ac.uk).

The ARRC team are investigating the effects of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats. The recruiting academic will not be told whether you have joined the study so your choice about whether to take part in the study cannot influence the decision on who to appoint. Further details can be found in the 'Further Particulars' document. If you have questions about the ARRC project, please contact: arrcproject@admin.cam.ac.uk

Please indicate the contact details of two academic referees on the online application form.

Please quote reference LF40617 on your application and in any correspondence about this vacancy. 

The University of Cambridge is a signatory of the San Francisco Declaration on Research Assessment (DORA). DORA recognises the need to improve the ways in which the outputs of scholarly research are evaluated. The University expects candidates to apply the principles of DORA when preparing their applications. We do not use journal-level metrics when assessing the quality of research outputs. Applicants should not include journal-level metrics, such as the Journal Impact Factor, anywhere in their application materials. More information about DORA, its principles and aims can be found at: https://sfdora.org/ and https:// www.research-strategy.admin.cam.ac.uk/research-policy/DORA

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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