Part Time Research Assistant (fayda Lab Project)

Oxford, ENG, GB, United Kingdom

Job Description

About the Blavatnik School of Government



Our vision is of a world better led, a world better served and a world better governed. We are a global school committed to improving the quality of government and public policymaking worldwide, through three routes:

teaching

current and future leaders

;

generating

research with impact

; and

engaging

with governments and practitioners

.

What we offer



The School is a collaborative, friendly, and dynamic department based in an award-winning building in Oxford. We host regular events and talks with well-known guest speakers - all of which are open to staff. On the social side, we have regular coffee/cake mornings for staff, a family-friendly Halloween event, and Christmas and summer parties.

As an employer, we genuinely care about our employees' wellbeing and this is reflected in the range of benefits that we offer including:
An excellent contributory pension scheme 38 days' annual leave Family leave schemes and a comprehensive range of childcare services Cycle loan scheme and discounted bus travel and Season Ticket travel loans Membership to a variety of social and sports clubs Opportunities for hybrid working (typically60% of working hours on-site and 40% remotely)
More information about working at the School can be found on our jobs page.

About the role



The Blavatnik School of Government is looking to recruit a Research Assistant to contribute to a study on the uptake and impact of Ethiopia's national digital ID programme 'Fayda', which includes refugees.

The Government of Ethiopia (GoE) has been a global leader in pursuing the Comprehensive Refugee Response Framework (CRRF), which aims at providing a wide-ranging and predictable framework for refugee host-community integration. To promote refugee inclusion, the GoE is including them in the national digital ID programme, which will ease access to public and private services.

Your tasks will be focused on supporting the randomized controlled trial the research team is implementing to assess the impact of the national ID program for refugees. Tasks will include data cleaning and analysis of the already collected baseline survey and implementation monitoring data and support to the preparation of a pre-analysis plan. Further, you will contribute to preparations for the endline survey, including supervision of data collection through high-frequency checks and data cleaning, during the initial phase, to data analysis and output drafting once ?eldwork is completed. You will work closely with ?eld coordinators and other project staff to ensure that effective support is given to the project, as well as with the survey ?rm carrying out the data collection.

This post is fixed-term for 6 months, and on a part-time basis at 50% FTE (18.75 hours per week).

About you



You will hold a Master's degree in economics, public policy or a related field with a focus on the development sector and strong quantitative research skills. A Bachelor's degree with extensive experience in data collection and analysis is also acceptable. You will have experience working with survey data and implementing analysis, a strong understanding or RCTs and related methodologies, and be proficient in Stata and LaTeX. Excellent communication skills and a demonstrated ability to work effectively and sensitively in a team are also essential.

Application process



Please upload a supporting statement that outlines how you meet the selection criteria in your own words, along with your CV and the details of two referees as part of your online application.

The closing date for applications is at

12 noon (UK time) on

Tuesday 18 November 2025.



Interviews are expected to take place on 24 November.

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Job Detail

  • Job Id
    JD4138078
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Part Time
  • Salary:
    Not mentioned
  • Employment Status
    Part Time
  • Job Location
    Oxford, ENG, GB, United Kingdom
  • Education
    Not mentioned