PhD position in data systems education

Laplace Expert Ltd; Amsterdam; A distancia; EUR 36.000 - 45.000; Jornada completa

Descripción de la vacante

Laplace Expert Ltd provides an independent overview of a doctoral opportunity at the University of Amsterdam. The research concerns data systems education across educational levels and asks how to test claims and interpret results in humanities and social sciences.

The advert notes that suitability comes from prior study and early research experience, and that no supervisor or funding route is guaranteed. Laplace Expert stresses it does not act on behalf of the University of Amsterdam and

Formación

• Experience in humanities or social science research.
• Ability to write scholarly texts with proper referencing.
• Familiarity with qualitative inquiry and interpretive analysis.

Conocimientos

Scholarly writing

Qualitative inquiry

Critical source evaluation

Educación

Humanities or social sciences background

Descripción del empleo

Opportunity Overview and Context

UvA doctoral research examines how data systems should be taught and learnt across educational levels. From an applicant’s perspective, the key decision is whether this specific research problem and the host’s disciplinary setting support a coherent next step. This is an independent research reading, not a reproduction of the original vacancy copy.

Research Questions, Methodology and Evidence

The central subject is data systems education. For humanities, education and society, a useful analysis asks how the underlying claims would be tested and how alternative explanations would be separated. Relevant methods to discuss with the research team could include qualitative inquiry; interpretive analysis; empirical social research; these are methodological considerations inferred from the field, not a claim that every technique is officially mandatory. A credible research plan would make explicit how the work contributes to evaluating how cultural, language or historical processes can be documented, interpreted and compared, with defensible baselines and a clear account of uncertainty.

Candidate Profile and Applicant Fit

This direction is likely to appeal to researchers with experience in humanities or social science research, critical source evaluation and scholarly writing. A candidate considering this doctoral pathway should connect previous study and early research experience to a viable thesis question. It is not safe to assume a specific supervisor, funding award or admission route unless the host confirms those conditions. In preparing an application, the candidate should use a concrete prior project to show why the advertised topic fits their skills and identify any important method that still needs to be learned.

Compensation, Eligibility and How to Apply

A published application date was independently located: 2026-11-27 (calendar date; no closing hour inferred). A source-backed monetary range is EUR 3,204–4,051; its exact payment period, FTE basis and applicability must be checked before financial planning unless explicitly detailed in the source. Degree equivalence, language scores, work authorization, relocation, applicant-specific conditions, research supervision and required documents must be checked on the institution’s own application instructions. Where an official vacancy-specific submission form has not been independently verified, the record deliberately leaves the official application destination unfilled.

Potential Challenges and Overall Opportunity Assessment

The main research risk concerns interpretive validity, access to materials and comparisons across contexts. Applicants should assess whether they prefer the problems implied by data systems education and can show a credible route to evaluating results, rather than relying on the title alone. Laplace interprets this as a potentially relevant doctoral research opening for those with a focused methodological match; actual selection odds and recruitment conditions remain with the institution. Laplace Expert provides this independent overview and does not act on behalf of University of Amsterdam. Rights in the original announcement remain with the respective rights holders. If University of Amsterdam contacts Laplace Expert to request removal, we will remove this listing.

qualitative inquiry interpretive analysis empirical social research