Psychological and Behavioural Science
Research Officer
Salary from £36,647 to £44,140 pa inclusive with potential to progress to £47,456 pa inclusive of London allowance
This is a fixed term appointment for 12 months
The LSE Department of Psychological and Behavioural Science (PBS) teaches and conducts cutting-edge research that is both based in and applied to the real world. PBS is committed to developing the School’s role as a world leader in the researching and teaching of psychological and behavioural science. The Department is also fully committed to the continued development of the LSE Behavioural Lab for Teaching and Research (BL), a school-wide state-of-the-art behavioural resource jointly co-managed by PBS and by the LSE Department of Management (DoM).
The postholder will be expected to independently and originally contribute to the development of behavioural and experimental research on the policy responses to the Covid-19 pandemic and other future epidemics. The postholder will develop and carry forward a coherent high-quality research strategy in this area with international research and policy impact.
The position is funded by a large European Commission H2020 grant awarded to the LSE BL as part of the PERISCOPE (Pan-European Response to the Impact of Covid-19 and future Pandemics and Epidemics) consortium, a network of thirty-two top institutions led by the University of Pavia (Italy). Within the PERISCOPE consortium, the BL will lead a component of the behavioural and experimental work package aiming at systematically mapping the effectiveness and unintended consequences of policy responses to Covid-19 and other pandemics on different compliance behaviours.
Candidates should have a PhD in economics, behavioural economics, psychology, or a related discipline where behavioural, experimental and quantitative research formed a key part. The PhD should be awarded, or near completion (i.e. defended successfully) by the post start date. Candidates should have expertise in experimental research methods, including the design and implementation of online, lab and field experiments and related aspects (pre-registration, ethics approval). Candidates should have strong familiarity with statistical, econometric, quantitative, and/or machine learning methods, including the analysis of large datasets, and with experimental, statistical, econometric and/or machine learning software. The successful candidate will have the ability to conduct high-quality research and publish in journals of international standing.
We offer an occupational pension scheme, generous annual leave and excellent training and development opportunities.
For further information about the post, please see the how to apply document, job description and the person specification.
To apply for this post, please go to www.jobs.lse.ac.uk. If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email M.M.Galizzi@lse.ac.uk
The closing date for receipt of applications is 16 May 2021 (23.59 UK time). Regrettably, we are unable to accept any late applications.