As a researcher, you conduct excellent research on (novel) methods to analyse intra-individual and inter-individual differences based on intensive longitudinal data collected through experience sampling, panel data, or other modern methods of data collection. 
The research aims include developing and validating models for longitudinal data (based on e.g., latent variable models, structural equation models, time series models, network models, factor analysis, dynamic models, latent class and finite mixture models, or item response models), studying methodological aspects of such data collection methods (response styles, sampling, missing data) investigating statistical aspects (power, estimation), and collaborating with (substantive) researchers in our School in applying the new methods to experience sampling data.

As a lecturer, you teach courses in research methods, psychometrics, and applied statistics in the bachelor programs (Psychology, Human Resource Studies, Organization Studies, and Sociology) and the two research master programs of our School. Teaching includes coordinating one or two courses, teaching lectures and tutorials, and supervising research internships, bachelor theses, and master theses. The position also involves contributing to management.

We are looking for an ambitious and talented researcher and dedicated teacher with a PhD in psychometrics and/or focused on quantitative research methods for the social or behavioral sciences. Candidates have an excellent (early career) track record in publishing research findings in recognized scientific journals in the field, should have affinity with teaching, and should have experience in teaching, supervising students, and management. We expect the candidate to hold or acquire the Basic Educational Qualification (BKO).

Depending on the candidate’s qualification, the position is either a tenure-track Assistant Professor position or an Associate Professor position (with an option for tenure). The Tenure-track Assistant Professor position entails a five-year contract, with the possibility of tenure (and furthering one’s growth potential) thereafter. Depending on the candidates’ experience, the full-time salary for the position ranges between € 3637 and € 6738 gross per month based on scales 11-14 of the Collective Labour Agreement (CAO) Dutch Universities (not included are various allowances). Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary. The university will apply for such an allowance on their behalf. The university offers very good fringe benefits, such as an options model for terms and conditions of employment and excellent reimbursement of moving expenses. 

Tilburg School of Social and Behavioral Sciences (TSB)

Tilburg University is a specialized university with a high international reputation that strives to advance society by deepening the understanding of that society through research and education. The Tilburg School of Social and Behavioral Sciences offers excellent, innovative education aimed at preparing students to become future leaders by focusing on knowledge, skills, and character building. The School offers a varied range of Bachelor and Master programs to its 3000 students and is organized around the motto of "Understanding Society". The school’s intellectually stimulating working environment challenges its workers to realize their ambitions; involvement and cooperation are essential to achieve this.
Tilburg School of Social and Behavioral Sciences

Department of Methodology and Statistics

The Department of Methodology and Statistics conducts excellent research in methods and statistics applied to social and behavioral sciences and is responsible for teaching methodology and statistics in the Bachelor and Research Master programs of the School. The department is a member of the national graduate school Interuniversity Graduate School for Psychometrics and Sociometrics (IOPS) and participates in the Tilburg Experience Sampling Center (TESC), the Center of Research on Psychology in Somatic diseases (CoRPS), and the Data Science Center Tilburg (DSC/t). Its research program focuses on latent variable models of individual differences (structural equation models, factor analysis, latent class and finite mixture models, item response models), applied statistics and data science (Bayesian modelling, high dimensional data analysis, database integration), survey methodology (response styles, sampling, norming), and meta-research (publication bias, meta-analysis, statistical decision-making). The department has a strong tradition of working with the other (substantive) research programs in our School.