Scholarships PhD

Developing a unified conceptual and measurement framework of maternity inequalities to inform policy using routinely collected national data(code D1.2_LSHTM)

NIHR Maternity Disparities Consortium (MDC)

Published on August 21, 2026

LocationUnited Kingdom DeadlineSeptember 7, 2026 · CLOSED FundingFully funded International applicantsYes

About the opportunity

The National Institute for Health and Care Research (NIHR) Inequalities Challenge: Maternity Disparities Consortium (MDC) is offering a PhD studentship to develop a unified conceptual and measurement framework of maternity inequalities. The project focuses on using routinely collected national data to better understand the determinants of disadvantage (including disability, neurodivergence, and migration status) and their interactions to inform national policy and improve outcomes for women and babies.

Funding and benefits

  • Full home tuition fees covered (at 2026/27 UK rates).
  • Tax-free annual stipend at UKRI rates (£21,805 outside London / £23,805 inside London from October 1, 2026).
  • £5,000 contribution towards research, travel, training, and consumables.

Who can apply?

  • First/Upper Second-Class Honours degree (2:1 or above) or an overseas equivalent in a relevant subject (e.g., statistics, applied mathematics, data science, computer science).
  • Master's degree or equivalent in a relevant field (recommended).
  • Understanding of and commitment to tackling maternity inequalities.
  • Relevant previous research experience in either the research or methodological area.
  • Strong quantitative research skills and experience analyzing complex datasets, ideally including routinely collected data.
  • Excellent written and verbal communication skills.
  • Highly motivated and able to work independently and as part of a team.
  • English language requirement (LSHTM Band B).
  • International applicants are welcome but must provide proof of funding for international fee differences and immigration costs prior to their interview.

Required documents

  • Application form
  • Two-page CV (named Surname_CV_project code)
  • Covering letter (max 1 page, named Surname_CL_project code)
  • Proof of funding for international fees and immigration costs (for shortlisted international applicants)

When to apply

  • Application deadline: 5pm Monday, September 7, 2026.
  • RD application at LSHTM deadline (if shortlisted): October 1, 2026.
  • Interviews: October 15 and 16, 2026.
  • Program start date: January 2027.

How to apply

  • Complete and submit the application form by the deadline.
  • Upload a two-page CV and at least one covering letter (maximum 1 page).
  • Identify two referees, including at least one academic referee.
  • If shortlisted, complete the Research Degree (RD) application process at the London School of Hygiene & Tropical Medicine (LSHTM) by October 1, 2026.
  • Attend an interview with the National Panel on October 15 or 16, 2026, in Newcastle.
  • Successful candidates must register for a PhD at the host institution and meet its specific entry requirements.

Our Take on This Opportunity

This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.

You may be a strong fit if…

  • Candidates with a strong quantitative background in statistics, data science, or applied mathematics.
  • Researchers interested in the intersection of national data and maternity health policy.
  • Individuals capable of independent research and complex dataset analysis.

What should you think carefully about?

  • International applicants must secure their own funding for fee differences and immigration costs.
  • Shortlisted candidates must be available for an in-person interview in Newcastle on October 15 or 16, 2026.
  • The role requires a high level of commitment to the specific research area of maternity inequalities.

How could this fit your current goals and plans?

This PhD studentship provides a structured path for those looking to influence national health policy through rigorous data analysis. It is a perfect match for a researcher aiming to build a career in public health, health economics, or social policy research.

Our take

Highly qualified quantitative researchers with a passion for health equity should apply; those without a strong background in complex data analysis or the necessary international funding may find this path challenging.

Ready to apply?

Review the opportunity on the official website before applying.

✓

Official-source verified

Your weekly shortlist

Let the right opportunities find you.

Choose your interests and receive a clean, personalized digest. No noise.