PhD on Metascience

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10 days remaining

PhD on Metascience

Deadline Published on Vacancy ID 2025/165
Apply now
10 days remaining

Academic fields

Behaviour and society

Job types

PhD

Education level

University graduate

Weekly hours

38 hours per week

Salary indication

€2901—€3707 per month

Location

De Zaale, 5612AZ, Eindhoven

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Job description

Researchers have emphasized the importance of interpreting effect sizes for more than a century. But how do we determine whether effects are large enough to matter? This project will help researchers in psychology not only report effect sizes, but also interpret them in a meaningful way.

Information
A PhD position is available within the context of the NWO funded VICI project “Interpretable Effect Sizes for Psychological Science”. The candidate will conduct meta-scientific research on the interface between statistical inferences, experimental design, and the question how researchers can determine which effects are large enough to matter. The goal of the project is to make a dedicated effort to improve the interpretation of effect sizes, which should increase the informational value of studies in psychology, improve theorizing, and help researchers reflect on the importance or unimportance of the effects they observe. Relevant questions are how we can increase the falsifiability of claims in replication studies, the challenges that come with the widespread use of standardized effect sizes, how mid-level theories can constrain which effects are predicted, and whether resource constraints influence the effects psychologists consider worth investigating. These questions will be examined through statistical modelling, qualitative interviews, systematic literature reviews, surveys, and experiments.

The selected candidate will work as part of the Human-Technology Interaction group within the department of Industrial Engineering and Innovation Science at Eindhoven University of Technology under the supervision of Dr. D. Lakens. The applicant will perform interviews, administer surveys, perform simulation studies and/or experiments. Findings will be presented at (international) conferences and written up for publication in scientific journals. The project will be carried out in close collaboration with other team members of the VICI project, as well as in collaboration with international scholars interested in the same topic. As part of the preparation for an academic career, the PhD student will be expected to gain teaching experience.

Requirements

We are looking for candidates passionate about improving the way we do science, who enjoy working in a collaborative environment. The applicant should have:
  • A MSc degree, or equivalent, in Psychology, Applied Statistics, Micro-economics, or a closely related field, completed by the start date of the PhD project.
  • Strong programming skills. Experience in R is appreciated.
  • A good understanding of applied statistics.
  • Experience with performing scientific research in the social sciences.
  • Fluency in written and spoken English language.

Conditions of employment

Fixed-term contract: 4 years.

  • A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
  • Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 2,901 max. € 3,707).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Additional information

Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Dr. Daniel Lakens, D.Lakens@tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services (hrservices.ieis@tue.nl).

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