Research and Development specialist in Large-Scale Statistics
Université du Luxembourg
Alphonse Weicker, Luxembourg
il y a 4j

Your Role

The research and development specialist will perform advanced statistical analyses on data emerging in the context of LUCET’s core mission (i.

e., Épreuves Standardisées , the Luxembourg school monitoring programme) and other (large-scale) data collections (e.g., PISA).

S / he is expected to contribute to the conceptual setup, implementation, administration, maintenance and supervision of the LUCET longitudinal database.

Activities

The research and development specialist will work within LUCET’s large-scale statistics laboratory LSS Lab and support state-of-the-art analyses and reporting of cross-sectional and longitudinal large-scale assessment data.

The following general research tasks are included in the research and development specialist :

  • perform advanced statistical analyses on data emerging from ÉpStan
  • contribute to the conceptual setup, implementation, administration, maintenance and supervision of the LUCET longitudinal database
  • contribute to data management and data documentation
  • contribute to the creation of reports of empirical studies
  • contribute and support (ongoing and future) activities relevant for the conduct, analysis, and reporting in the context of large-scale studies
  • contribute and support (ongoing and future) research projects related to ÉpStan and other projects within LUCET
  • contribute to scientific articles and scientific presentations, as well as LUCET’s public outreach efforts
  • perform any other tasks within the framework of the position
  • Your Profile

  • Master’s degree in social sciences, data sciences or statistics
  • Proven expertise in large-scale statistics, psychometrics, ideally in the context of (computer-based) psycho-educational (large-scale) assessment
  • In-depth knowledge of advanced statistical methods, particularly multivariate statistics (g., hierarchical linear models, generalized regression models, structural equation models, and item response models)
  • Excellent knowledge in statistical programming languages (R is mandatory)
  • Knowledge of relational databases and SQL are a plus
  • Knowledge of LaTeX is a plus
  • Effective interpersonal and communication skills
  • Very good oral and written competences in English; German, French and Luxembourgish are a plus
  • Ability to work in a multidisciplinary and multicultural team
  • We offer

  • A friendly, international, and interdisciplinary team
  • Modern, newly equipped labs
  • Further Information

    Please upload your complete application (letter of motivation, CV, copy of diplomas).

    The University of Luxembourg is an equal opportunity employer.

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