Professor Ashraf's work tests insights from behavioural economics in the context of large-scale field experiments around the world in health, education, finance and employee motivation. In her research Professor Ashraf has adopted a unique model of research, which is referred to as co-generation of knowledge. This model emphasizes developing research questions and interventions together with, rather than for or through, field partners, stakeholders and policymakers.
The Research Assistant (Policy and Impact) will gain first-hand experience with this model by supporting Professor Ashraf in the scale-up of three research projects across Zambia (connected to themes of health and education). You will play a central role in taking research into policy, working closely with academics, policymakers, and implementing organisations throughout the research project life-cycle. Your responsibilities will involve supporting policy outreach and impact coordination, communication, stakeholder engagement, data analysis, evaluation and fundraising. You will also help create a guideline to both other researchers and policymakers who undertake the co-generation of knowledge research model.
The successful applicant will have completed by the post start date, a Bachelor’s degree (or equivalent) and/or Master’s degree in economics, public policy, international development, or other related social sciences, with substantial quantitative work. You must have good data management skills and a fair knowledge of Stata, a good understanding of randomised controlled trials, excellent organisational and planning skills, the ability and willingness to travel to and work in Zambia. Excellent communication skills are a must: you have to possess fluency in written and spoken English and the ability to communicate effectively and confidently at all levels and to different audiences. You must also have excellent writing skills and some experience of producing written outputs for a variety of audiences. You will have the ability to work under pressure and to multiple deadlines, and the ability to manage your own areas of responsibility independently without constant direct supervision.
The other criteria that will be used when shortlisting for this post can be found on the person specification, which is attached to this vacancy on LSE’s online recruitment system.
We offer an occupational pension scheme, generous annual leave and excellent training and development opportunities.
The closing date for receipt of applications is 27th March 2019 (23.59 UK time). Regrettably, we are unable to accept any late applications.