At a Glance
- Tasks: Analyse data and write impactful academic papers and reports.
- Company: Join the prestigious University of Oxford's Centre for the Study of African Economies.
- Benefits: Competitive salary with potential for extension based on performance.
- Other info: Collaborate with leading researchers in a dynamic academic environment.
- Why this job: Make a real difference in research on cash transfers in Bangladesh.
- Qualifications: Strong analytical skills and experience in data management.
The predicted salary is between 41636 - 41636 £ per year.
Researcher Grade 6
Salary: GBP 35,681 - GBP 41,636 per annum (with a discretionary range to GBP 46,476), Fixed‑term from 1 September 2026, for 12 months, possible extension for up to 12 months depending on funding and performance.
Join Dr Rocco Zizzamia and Professor Stefan Dercon as a predoctoral fellow at the Centre for the Study of African Economies, University of Oxford; work on a large‑scale cluster‑randomised controlled trial in northern Bangladesh on anticipatory cash transfers with Give Directly and BIGD.
Responsibilities
- Analyse the project's survey, administrative, and satellite data.
- Write academic papers, policy briefs, and donor reports based on the analysis.
- Manage remaining survey activity: instrument refinement, contracting and supervision of survey firms, quality control of incoming data.
How to Apply
Applications must be made online via Econjobmarket (EJM): EJM - Econ Job Market.
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StudySmarter Expert Advice🤫
We think this is how you could land CSAE Predoctoral Research Fellow
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like University of Oxford before they're even advertised!
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace CSAE Predoctoral Research Fellow
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at University of Oxford, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to University of Oxford, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab University of Oxford’s attention and show the tangible impact of your work.
How to prepare for a job interview at University of Oxford
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at University of Oxford.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at University of Oxford.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at University of Oxford.
