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Application and Selection Process

Home Research Fellowship Programme Application and Selection Process

Application and Selection Process

1. Application Requirements

Application Requirements

Applicants must submit the following materials as part of the online application process:

  • A completed online application form;
  • A current Curriculum Vitae (CV) highlighting relevant academic, research, and professional experience;
  • A maximum two-pages research proposal based on PAL Network’s ICAN/ICAR 2025 datasets.

Research Proposal Requirements

Applicants are expected to access and review the publicly available ICAN/ICAR 2025 microdata and accompanying documentation hosted on the DataFirst platform prior to submitting their proposal.

The proposal should clearly outline:

  • Proposed title;
  • Research question(s) or analytical focus;
  • Rationale and policy relevance;
  • Proposed methodology and analytical approach;
  • Key variables, dimensions, or datasets of interest;
  • Expected contribution to foundational learning research, policy, or practice;
  • Planned outputs during the fellowship period.

Applicants are encouraged to propose innovative and policy-relevant analyses, including comparative, equity-focused, interdisciplinary, or cross-dataset approaches.

 

2. Eligibility Criteria: The specific eligibility criteria will be tailored for each research fellowship position and type of fellowship offered. However, the following general criteria will be considered an asset for all applicants:

  • Academic Background: Completed or in-progress master’s or doctoral program in education measuremnet, data science, statistics, development studies, public policy, economics, or related fields. Undergraduate degrees with proven record of work experience will also be considered.
  • Strong technical expertise in quantitative data analysis, with proficiency in Stata, R, or Python.
  • Experience working with large-scale learning assessments or education datasets.
  • Demonstrated ability to manage data systems and produce high-quality analysis and reporting.
  • Excellent written communication skills and ability to present complex data in accessible formats.
  • Prioritize applicants from the global south or those with experience working in these contexts. Understanding the unique educational challenges and opportunities in these regions is crucial.
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