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Have you always wondered how neural models process information? Are you interested in high-impact research that helps ensure automatic systems provide unbiased, transparent advice? Do you enjoy turning open-ended questions into rigorous experiments and clear insights? Are you interested in publishing impactful work at venues like SIGIR, NeurIPS, ACL, or FAccT? The IRLab is looking for an ambitious PhD candidate for responsible advice-giving systems that helps answer these questions.
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Have you always wondered how neural models process information? Are you interested in high-impact research that helps ensure automatic systems provide unbiased, transparent advice? Do you enjoy turning open-ended questions into rigorous experiments and clear insights? Are you interested in publishing impactful work at venues like SIGIR, NeurIPS, ACL, or FAccT? The IRLab is looking for an ambitious PhD candidate for responsible advice-giving systems that helps answer these questions.
We are seeking a PhD candidate to work on responsible and interpretable advice-giving and information retrieval systems. You will carry out your research at the University of Amsterdam as part of the IRLab within the Informatics Institute.
How people access and engage with information has changed significantly over the past decades, and especially in recent years. Automated systems are increasingly used to retrieve, rank, summarize, and interpret information. While these developments create great opportunities for improving information access, they also introduce substantial risks. Information is central to a democratic society therefore it is essential that such systems provide truthful, unbiased, and transparent outputs. In this PhD position, you will develop and evaluate approaches for responsible advice-giving and information retrieval systems (e.g. retrieval-augmented generation (RAG)), for instance by using interpretability techniques.

We are seeking a PhD candidate to work on responsible and interpretable advice-giving and information retrieval systems. You will carry out your research at the University of Amsterdam as part of the IRLab within the Informatics Institute.
How people access and engage with information has changed significantly over the past decades, and especially in recent years. Automated systems are increasingly used to retrieve, rank, summarize, and interpret information. While these developments create great opportunities for improving information access, they also introduce substantial risks. Information is central to a democratic society therefore it is essential that such systems provide truthful, unbiased, and transparent outputs. In this PhD position, you will develop and evaluate approaches for responsible advice-giving and information retrieval systems (e.g. retrieval-augmented generation (RAG)), for instance by using interpretability techniques.
As a PhD candidate, you will conduct independent research on responsible and interpretable advice-giving systems and information retrieval. This research area includes several emerging subfields, including (mechanistic) interpretability for RAG models and IR tasks, the evaluation of explanations in IR, biases in LLM-based IR models, and the relationship between fairness and explainability in these settings. As such, there is substantial room to contribute across a range of topics.
We are looking for an enthusiastic and creative individual who is interested in the following:
The exact research topics and work plan will be defined together with the selected candidate. We are open to a variety of directions and look forward to hearing your perspective on what responsible advice-giving should entail.
Your experience and profile:
A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is as soon as possible. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students.
The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,059 to € 3,881 (scale P). This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile PhD candidate is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable.
Curious about our extensive secondary benefits package? You can read more about it here.
As a PhD candidate, you will conduct independent research on responsible and interpretable advice-giving systems and information retrieval. This research area includes several emerging subfields, including (mechanistic) interpretability for RAG models and IR tasks, the evaluation of explanations in IR, biases in LLM-based IR models, and the relationship between fairness and explainability in these settings. As such, there is substantial room to contribute across a range of topics.
We are looking for an enthusiastic and creative individual who is interested in the following:
The exact research topics and work plan will be defined together with the selected candidate. We are open to a variety of directions and look forward to hearing your perspective on what responsible advice-giving should entail.
Your experience and profile:
A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is as soon as possible. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students.
The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,059 to € 3,881 (scale P). This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile PhD candidate is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable.
Curious about our extensive secondary benefits package? You can read more about it here.
The Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.
The IRLab Amsterdam is part of the Informatics Institute of the University of Amsterdam. Our research focuses on information retrieval: technology to connect people to information. We work on search engines, on recommender systems, and on conversational assistants. There is a heavy emphasis on data-driven methods, for understanding content, for analyzing and predicting user behaviour, and for make sense of context.
The Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.
The IRLab Amsterdam is part of the Informatics Institute of the University of Amsterdam. Our research focuses on information retrieval: technology to connect people to information. We work on search engines, on recommender systems, and on conversational assistants. There is a heavy emphasis on data-driven methods, for understanding content, for analyzing and predicting user behaviour, and for make sense of context.
If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the button below. We accept applications until and including 4 February 2026.
Applications should include the following information (all files besides your cv should be submitted in one single pdf file):
If you have any questions or do you require additional information? Please contact:
If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the button below. We accept applications until and including 4 February 2026.
Applications should include the following information (all files besides your cv should be submitted in one single pdf file):
If you have any questions or do you require additional information? Please contact:








