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Are you interested in investigating how smart AI-models are? Do you want to conduct research on what characterizes intelligence in humans and AI and develop neuro-cognitive methods and formal models to describe the similarities and differences?
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Are you interested in investigating how smart AI-models are? Do you want to conduct research on what characterizes intelligence in humans and AI and develop neuro-cognitive methods and formal models to describe the similarities and differences?
We are looking for a PhD candidate to join our research project entitled “How smart is AI really? Methods for investigating intelligence in humans and AI”, funded by a NWO Vidi grant awarded to Claire Stevenson. This project is led by dr. Claire Stevenson (PI), dr. Jelle Zuidema (promotor) and dr. Micha Heilbron (co-promotor). The position starts September 1st 2026.
The public summary of the project is as follows. AI-models appear to be rapidly developing human-like intelligence. For both scientists and the broader public, an urgent question is “How smart is AI currently and how intelligent will it become?”. However, we do not know because current methods for evaluating intelligence in people are not suitable for AI and vice versa due to inherent differences in learning, memory, and processing between these systems. This project develops the necessary methods to study how smart AI-models are compared to people, now and in the future, and sheds light on how to safely utilize AI in our daily lives.
The main objective of this PhD project is to develop methods to examine the process by which AI-models solve problems that were previously considered to require human-like (fluid) intelligence, e.g., abstract and analogical reasoning problems, and to illuminate the similarities and differences between these processes and human reasoning.

We are looking for a PhD candidate to join our research project entitled “How smart is AI really? Methods for investigating intelligence in humans and AI”, funded by a NWO Vidi grant awarded to Claire Stevenson. This project is led by dr. Claire Stevenson (PI), dr. Jelle Zuidema (promotor) and dr. Micha Heilbron (co-promotor). The position starts September 1st 2026.
The public summary of the project is as follows. AI-models appear to be rapidly developing human-like intelligence. For both scientists and the broader public, an urgent question is “How smart is AI currently and how intelligent will it become?”. However, we do not know because current methods for evaluating intelligence in people are not suitable for AI and vice versa due to inherent differences in learning, memory, and processing between these systems. This project develops the necessary methods to study how smart AI-models are compared to people, now and in the future, and sheds light on how to safely utilize AI in our daily lives.
The main objective of this PhD project is to develop methods to examine the process by which AI-models solve problems that were previously considered to require human-like (fluid) intelligence, e.g., abstract and analogical reasoning problems, and to illuminate the similarities and differences between these processes and human reasoning.
The PhD student is responsible for helping achieve this objective. They will collaborate with the supervisors, fellow PhD students, postdocs and international colleagues associated with the CreAI Lab (creailab.net).
The research tasks will include collecting problem solving data with both humans and AI-models; developing methods to reliably and validly compare children’s, adults' and AI-models’ problem solving processes; and conducting cross-sectional and longitudinal data analysis (e.g., item response theory, latent change score models) comparing shifts in how children and AI-models learn to reason.
Teaching is limited to 5% of the contracted hours, by assisting in courses and supervising (bachelor) thesis students.
A promising candidate has proven affinity with cognitive AI research, experience with data collection (including eye-tracking and/or neuroimaging) with people (in Dutch), cognitive modeling of human problem solving processes, mechanistic interpretability in AI-models, as well as extensive computer programming experience in R and Python.
Given that the project lies at the intersection of psychology, cognitive science, and AI, a successful candidate has an interest and the capacity to work and interact in a multidisciplinary team.
Your experience and profile:
• A master's degree with specialization in cognitive science, psychological methods or a related discipline.
• Extensive experience coding in R and Python (or related computer programming languages).
• Excellent written and spoken command of English and conversational command of Dutch.
The position concerns temporary employment of 38 hours per week. The initial employment is for one year. Following a positive assessment and barring altered circumstances, this term will be extended to a total duration of 4 years, which should result in the conferral of a doctorate. We will put together a curriculum which will also include the opportunity to attend training courses and both national and international events.
For this position the University Job Classification profile 'promovendus' applies.
Your salary will be €3.059 gross per month in the first year and will increase to €3.881 in the final year, based on full-time employment and in keeping with the Collective Labour Agreement of Dutch Universities. We additionally offer an extensive package of secondary benefits, including 8% holiday allowance and a year-end bonus of 8.3%.
The UvA offers excellent possibilities for further professional development and education.
We also offer
• a position in which initiative and input are highly valued
• an enthusiastic and warm team that is open to new colleagues
• an inspiring academic and international working environment in the heart of Amsterdam.
The PhD student is responsible for helping achieve this objective. They will collaborate with the supervisors, fellow PhD students, postdocs and international colleagues associated with the CreAI Lab (creailab.net).
The research tasks will include collecting problem solving data with both humans and AI-models; developing methods to reliably and validly compare children’s, adults' and AI-models’ problem solving processes; and conducting cross-sectional and longitudinal data analysis (e.g., item response theory, latent change score models) comparing shifts in how children and AI-models learn to reason.
Teaching is limited to 5% of the contracted hours, by assisting in courses and supervising (bachelor) thesis students.
A promising candidate has proven affinity with cognitive AI research, experience with data collection (including eye-tracking and/or neuroimaging) with people (in Dutch), cognitive modeling of human problem solving processes, mechanistic interpretability in AI-models, as well as extensive computer programming experience in R and Python.
Given that the project lies at the intersection of psychology, cognitive science, and AI, a successful candidate has an interest and the capacity to work and interact in a multidisciplinary team.
Your experience and profile:
• A master's degree with specialization in cognitive science, psychological methods or a related discipline.
• Extensive experience coding in R and Python (or related computer programming languages).
• Excellent written and spoken command of English and conversational command of Dutch.
The position concerns temporary employment of 38 hours per week. The initial employment is for one year. Following a positive assessment and barring altered circumstances, this term will be extended to a total duration of 4 years, which should result in the conferral of a doctorate. We will put together a curriculum which will also include the opportunity to attend training courses and both national and international events.
For this position the University Job Classification profile 'promovendus' applies.
Your salary will be €3.059 gross per month in the first year and will increase to €3.881 in the final year, based on full-time employment and in keeping with the Collective Labour Agreement of Dutch Universities. We additionally offer an extensive package of secondary benefits, including 8% holiday allowance and a year-end bonus of 8.3%.
The UvA offers excellent possibilities for further professional development and education.
We also offer
• a position in which initiative and input are highly valued
• an enthusiastic and warm team that is open to new colleagues
• an inspiring academic and international working environment in the heart of Amsterdam.
You will primarily work with the Cognitive AI Methods team led by dr. Claire Stevenson, with dr. Jelle Zuidema acting as promotor and dr. Micha Heilbron as co-promotor. Our team is interdisciplinary, combining expertise in psychology, AI, computational linguistics and psychometrics. We have an active lab with weekly lab meetings and we also join the monthly lab meetings with other PhD students and postdocs associated with the A.D. de Groot Center for Cognitive AI (degroot.ai).
You will be embedded in the Psychological Methods programme group in the Psychology Department and collaborate closely with dr. Zuidema and colleagues from the Institute of Logic, Language and Cognition (ILLC, UvA).
You will primarily work with the Cognitive AI Methods team led by dr. Claire Stevenson, with dr. Jelle Zuidema acting as promotor and dr. Micha Heilbron as co-promotor. Our team is interdisciplinary, combining expertise in psychology, AI, computational linguistics and psychometrics. We have an active lab with weekly lab meetings and we also join the monthly lab meetings with other PhD students and postdocs associated with the A.D. de Groot Center for Cognitive AI (degroot.ai).
You will be embedded in the Psychological Methods programme group in the Psychology Department and collaborate closely with dr. Zuidema and colleagues from the Institute of Logic, Language and Cognition (ILLC, UvA).
To apply to this position, please submit a curriculum vitae (max 3 pages) and a letter of motivation (max 2 pages, which also includes a short discussion of how you would approach the topic) in one bundled pdf format. The deadline is April 30th, 2026. You can apply via the red button until April 30, 2026. Interviews will take place in May. In case of equal qualifications, internal candidates will be given preference over external candidates.
For questions about the vacancy, you can contact: Claire Stevenson, [email protected]
To apply to this position, please submit a curriculum vitae (max 3 pages) and a letter of motivation (max 2 pages, which also includes a short discussion of how you would approach the topic) in one bundled pdf format. The deadline is April 30th, 2026. You can apply via the red button until April 30, 2026. Interviews will take place in May. In case of equal qualifications, internal candidates will be given preference over external candidates.
For questions about the vacancy, you can contact: Claire Stevenson, [email protected]


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