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source

Matti Vuorre

2 months ago

PhD Candidate on Attention and Technology Use (Full-Time, 4 Years) Tilburg University in Netherlands

Degree Level

PhD

Field of study

Data Science

Funding

Available

Deadline

Expired

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Country

Netherlands

University

Tilburg University

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Where to contact

Official Email

Keywords

Data Science
Survey Methodology
Psychology
Cognitive Science
Meta-analysis
Longitudinal Study
Social Psychology
Visual Attention
Open Science
Python Programming
Quantitative Analysis
Experimental Psychology
R Programming
Multilevel Analysis
New Technologies
Statistical Modelling
Statistic
cognitive neuroscience

About this position

The Department of Social Psychology at Tilburg University is offering two fully funded, four-year PhD positions focused on the topic of attention and technology use. These positions are part of the ERC Starting Grant project “Testing the Technology Related Attention Decline Hypothesis,” led by Assistant Professor Matti Vuorre. The project aims to investigate whether and how cognitive abilities related to attention have changed over recent decades of intensive internet technology adoption, and to determine the potential effects of digital technologies on users’ attentive abilities.

Research will involve large-scale secondary data analyses of existing cognitive psychology datasets, as well as new longitudinal studies using experiments, surveys, and digital trace data, all supported by advanced statistical modeling. PhD candidates will be based in the Department of Social Psychology at Tilburg University and supervised by a team including Matti Vuorre (Tilburg University), Douglas Parry (Vrije Universiteit Amsterdam), and Janneke Oostrom (Tilburg University). The candidates will lead their own studies and collaborate on other project components, including collating and analyzing cognitive psychology datasets, designing and managing longitudinal studies, and developing tools for experiments, surveys, and digital trace data collection.

Responsibilities include writing a PhD thesis, planning and executing data collection, setting up experiments and surveys, conducting advanced data analyses, preparing scholarly manuscripts, implementing open science practices, presenting at conferences, and contributing to teaching and supervision (up to 20% of time). Applicants should have a strong background in psychology or a related field, with a master’s or research master’s degree (or be close to completion).

Essential skills include expertise in cognitive and experimental psychology, statistical modeling, data science, open science, quantitative research, experimental and survey design, data analysis (e.g., meta-analysis, simulation studies, multilevel/mathematical modeling), proficiency in R or Python, project management, and strong academic English writing. Experience in small-scale education (e.g., supervising bachelor theses) is also valued. The position offers a competitive salary starting at €3,059 gross per month in the first year, rising to €3,881 in the fourth year, plus vacation pay, year-end bonus, over 8 weeks of vacation, hybrid working allowances, sustainable commuting reimbursement, pension, conference and training budget, moving allowance (subject to conditions), and a potential 30% tax-free allowance for international employees.

The vibrant Tilburg University campus provides a supportive and inclusive environment, with opportunities for personal and professional development. The application deadline is December 1, 2025, with interviews in the following month and a project start date on or after March 1, 2026. For more information, contact Matti Vuorre at [email protected].

Funding details

Available

What's required

Applicants must have a relevant academic background in psychology or a related discipline and hold (or expect to obtain soon) a master’s or research master’s degree. Candidates should demonstrate expertise in cognitive and experimental psychology, statistical modeling, data science, and open science practices. Required skills include advanced quantitative research abilities, experimental and survey design, data analysis (e.g., meta-analysis, simulation studies, multilevel/mathematical modeling), proficiency in statistical programming tools (such as R or Python), project management, and strong academic English writing skills. Experience in providing small-scale education (e.g., bachelor thesis supervision) is also valued.

How to apply

Submit your application via the provided Academic Transfer link. Include your CV, official grade list, a one-page motivation letter, an example of your research (e.g., paper or thesis), and contact details of two references. For more information, contact Matti Vuorre at [email protected].

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