Research and Development specialist in Diagnostic Classification Models
University of Luxembourg
Alphonse Weicker, Luxembourg
il y a 2j

Your Role...

The successful candidate will specialize in and help with the application of diagnostic classification models to a large-scale mathematics assessment.

He / she will take part in all relevant stages, from test development to data analyses, and finally the creation of feedback protocols.

The position is integrated in a highly motivated team that is guided by local and international experts and ideal to gather first experiences in academia.

Your Activities

The following general research tasks are included in the responsibilities of the position :

  • Contribute to and support the conceptual development of diagnostic classification models in mathematics
  • Plan and conduct experimental studies
  • Contribute to and support the development of empirically grounded and didactically useful feedback protocols
  • Apply new and innovative data-analytic strategies bridging the gap between cognitive psychology and psychological assessment
  • Contribute to and support (co-)authored peer-reviewed scientific publications and present research outcomes at international conferences
  • Perform any other tasks within the framework of the position
  • What we expect from you

  • Excellent master’s degree (or equivalent) in psychology, educational or learning sciences (preferably related to one of the following areas : cognitive psychology, psychological assessment, mathematical abilities, educational assessment, didactics of mathematics)
  • Passion for psychological assessment and ability to find creative solutions to complex problems
  • Good knowledge of or high interest in quantitative research methods
  • Experience in implementing empirical studies
  • Very good oral and written competences in English (Luxembourgish, German, or French will be considered an advantage)
  • Proactive personality who is able to structure and prioritize the workload
  • Ability to quickly fit into a dynamic, multidisciplinary and multicultural team
  • What we can offer...

  • Close and supportive supervision in a friendly international interdisciplinary team
  • Opportunity to gain experience with latest technologies in psychological assessment
  • Chance to make an impact on the national school monitoring program
  • Inspiring environment of a highly international, modern, and digital university
  • In Short...

  • Contract Type : Contrat à durée déterminée 12 Mois
  • Work Hours : Temps plein 40.0 Heures par Semaine
  • Starting date : As soon as possible
  • Location : Belval
  • Job Reference : UOL04200
  • How to apply...

    Applications should be submitted online and include :

  • Curriculum Vitae
  • Cover letter
  • Early application is highly encouraged, as the applications will be processed upon reception.

    Please apply formally through the HR system. Applications by email will not be considered.

    The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

    Here’s what awaits you at the University

  • Multilingual and international character . Modern institution with a personal atmosphere. Staff coming from 90 countries.
  • Member of the University of the Greater Region (UniGR).

  • A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market.
  • A unique urban site with excellent infrastructure.

  • A partner for society and industry . Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs
  • Find out more about the University
  • Addresses, maps & routes to the various sites of the University
  • Further information...

    For further inquiries please contact Dr. Philipp Sonnleitner.

    E-Mail : philipp.sonnleitner uni.lu

    Tel. : (+352) 46 66 44 9514

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