This project examines trends and inequalities in life expectancy and healthy life expectancy in Spain, with a particular focus on regional, gender, and socioeconomic differentials. Using data from national health surveys, mortality records, and demographic sources, the project aims to monitor changes in population health across Spanish Autonomous Communities, assess inequalities by sex and educational attainment, and identify the contribution of specific diseases and causes of death to disparities between length and quality of life. The project combines demographic methods, health expectancy estimation techniques, and epidemiological approaches to generate evidence relevant for population health monitoring and public policy
a) Conduct advanced analyses of healthy life expectancy and life expectancy trends in Spain. These will have a particular attention to variations by sex, educational attainment, and Autonomous Community. The researcher will contribute to the refinement, validation, and interpretation of health expectancy estimates using established demographic methods.
b) Analyse social and regional inequalities in population health, examining the evolution of educational and gender disparities in healthy life expectancy and assessing differences across Spanish regions over time.
c) Contribute to the dissemination and scientific exploitation of project findings, including the preparation of manuscripts for international peer-reviewed journals, presentations at national and international conferences, policy-oriented reports, and other knowledge-transfer activities.
d) Collaborate with the project research team in methodological development, data management, preparation of project deliverables, and the development of future research proposals related to population health, longevity, and health inequalities.
PhD in Demography or related fields focused on Population Health within the social sciences (Sociology, Geography, Economics, or related disciplines).
Demonstrated experience in demographic analysis, particularly in the study of mortality, life expectancy, healthy life expectancy, or health inequalities, including life table techniques and related analytical approaches.
Strong quantitative skills and familiarity with methods for analysing social, regional, and gender inequalities in health.
Experience working with large-scale survey and/or mortality datasets and proficiency in statistical software such as R, Stata, or equivalent.
Evidence of scientific publication and dissemination activities in relevant fields.
Proficiency in English and Spanish (written and spoken). Knowledge of Catalan will be considered an asset.
Contract type: Full-time position, starting on 6 July 2026.
Duration: 6 months (July–December 2026).
Gross annual salary: €33,660, according to the CED salary scale (R2 level).
Workplace: Centre d’Estudis Demogràfics (Barcelona). The selected candidate must reside in Spain during the contract period and hold a valid work permit.
Interested candidates should submit their application and the required materials through this platform (Apply Now).
Curriculum Vitae (CV)
Cover letter (maximum 1 page)
Two examples of scientific work authored by the candidate as sole author and/or lead author
The deadline for submitting applications is 24 June 2026 at 17:00 noon (CET).
For any questions regarding the position, please contact: [email protected]
Further information about CED: https://ced.cat
Bellaterra (Cerdanyola del Vallès
Albert Esteve Palós
CED is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
CED is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.