Postdoctoral Fellows in Educational Measurement

About this job

Job description Applications are invited for 1-2 full time positions for three- to four-years as Postdoctoral Fellows at the Centre for Research on Equality in Education (CREATE), Faculty of Educational Sciences, University of Oslo, Norway. The positions have a double affiliation with the Centre for Educational Measurement (CEMO). CREATE is an interdisciplinary Centre of Excellence funded by the Research Council of Norway with the objective to generate novel knowledge about how to reduce inequalities in education. The interdisciplinary center integrates researchers with substantive expertise from education, psychology, sociology, economics, and genetics, and methodological expertise from educational measurement, psychometrics, econometrics, statistics, and biostatistics. The Postdoctoral Fellowships are affiliated with CREATE’s research strand 3 «Addressing key methodological challenges». CEMO provides a stimulating research environment by bringing internationally renowned substantive and methodological experts together. Research at CEMO combines basic research and applications of advanced measurement techniques to solve core educational problems. CEMO also contributes to the development of measurement competence through teaching and outreach. More about the positions The positions are tied to strand 3 of CREATE, which aims to develop novel methods and statistical software that are tailor-made to the research questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential research areas include (a) instructional sensitivity and opportunity to learn in international large-scale assessments in education, (b) estimation and inference methods for weighted generalized structural equation models with mixed continuous and discrete data in longitudinal settings, and (c) advancing research synthesis and meta-analytic methods, for instance, to investigate digital inequalities in education using international large-scale assessment data. The appointments are full-time positions and made for a period of three years, 10% of which is devoted to required duties, usually in the form of teaching activities. If there is a good match between the candidate’s competence and the teaching needs at CEMO, the positions may be extended to four years, 25% of which is devoted to required duties, usually in the form of teaching activities and supervision. For these positions, the teaching activities will be part of CEMO’s master’s programme in Assessment, Measurement and Evaluation. The main purpose of the fellowship is to build a research profile and competence that qualifies the postdoctoral fellow to apply for a position as associate professor within their disciplines. The position may also provide other competence with relevance for the postdoctoral fellow's further career. If the Postdoctoral Fellow does not already have educational qualifications that meet the requirements for an associate professor position, UiO shall facilitate the acquisition of such competence during the employment period. A career plan shall be developed for the Postdoctoral Fellow, specifying the competencies the Postdoctoral Fellow should acquire. UiO is responsible for following up on the career plan and ensuring that the Postdoctoral Fellow has access to career guidance throughout the postdoctoral term. Qualification requirements Applicants must hold a degree equivalent to a Norwegian doctoral degree in one of the social and behavioral sciences, statistics, or computer science applying and/or developing advanced quantitative methods. The doctoral dissertation must have been submitted for evaluation by the application deadline. Appointment is dependent on the public defense of the doctoral thesis being approved Fluent oral and written communication skills in English Demonstrated fit to one of the three research areas (a) to (c) listed above Proficiency in programming and data analysis in the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant courses or publication(s) Applicants will be evaluated as a function of the fit between their qualifications and the research area they apply for. The following qualifications will count in the assessment of the applicants: For research area (a), prior experience with IRT/mixed-effects logistic regression and international large-scale assessments in education For research area (b), prior experience with latent variable models and Monte Carlo simulation studies For research area (c), prior experience with meta-analysis/research synthesis and international large-scale assessment data Personal skills Creativity and ability to work independently Self-motivated, eager to learn and ready to tackle and deal with challenges Able to collaborate with others Personal suitability and motivation for the position will be emphasized. We need different perspectives in our work UiO is an open and internationally

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