PhD position in Responsible Advice-Giving Systems

PhD position in Responsible Advice-Giving Systems

Working at the UvA

Join one of the biggest labs on information retrieval in the world!

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.

Working at the UvA

Join one of the biggest labs on information retrieval in the world!

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.

All about this vacancy

This is what you will do

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:

  • Developing novel techniques to understand how information is processed within deep neural networks.
  • Developing methods that achieve high accuracy while also being safe, interpretable, responsible, and reliable.
  • Developing evaluation frameworks to assess multiple dimensions of responsible advice-giving systems. Example dimensions include the faithfulness of explanations, biases in generated answers, and usefulness for different types of users.
  • Connecting empirical findings about model behavior to theoretical frameworks of computation.
  • Critically investigating the potential societal impact of proposed methods.
  • Publishing and presenting findings at international AI conferences such as SIGIR, ECIR, NeurIPS, ICML, ICLR, FAccT, AAAI, ACL, EMNLP, etc.

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.

What we ask of you

Your experience and profile:

  • MSc in artificial intelligence, computer science, engineering, mathematics, physics, or a related discipline
  • Demonstratable background in machine learning, information retrieval or natural language processing
  • Excellent software engineering skills in Python
  • Fluent in English, both written and spoken

This is what we offer you

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.

All about this vacancy

This is what you will do

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:

  • Developing novel techniques to understand how information is processed within deep neural networks.
  • Developing methods that achieve high accuracy while also being safe, interpretable, responsible, and reliable.
  • Developing evaluation frameworks to assess multiple dimensions of responsible advice-giving systems. Example dimensions include the faithfulness of explanations, biases in generated answers, and usefulness for different types of users.
  • Connecting empirical findings about model behavior to theoretical frameworks of computation.
  • Critically investigating the potential societal impact of proposed methods.
  • Publishing and presenting findings at international AI conferences such as SIGIR, ECIR, NeurIPS, ICML, ICLR, FAccT, AAAI, ACL, EMNLP, etc.

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.

What we ask of you

Your experience and profile:

  • MSc in artificial intelligence, computer science, engineering, mathematics, physics, or a related discipline
  • Demonstratable background in machine learning, information retrieval or natural language processing
  • Excellent software engineering skills in Python
  • Fluent in English, both written and spoken

This is what we offer you

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.

Your place at the UvA

Where you will work

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.

More about the UvA

The University of Amsterdam is ambitious, creative and committed. An inspiration to students since 1632, a vanguard player in international science and a partner in innovation.
The University of Amsterdam is the largest university in the Netherlands, with the broadest range of courses on offer. An intellectual hub with 42,000 students, 6,000 staff and 3,000 PhD students. Connected by a culture of curiosity.

Your place at the UvA

This is where you will be working

Where you will work

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.

More about the UvA

The University of Amsterdam is ambitious, creative and committed. An inspiration to students since 1632, a vanguard player in international science and a partner in innovation.
The University of Amsterdam is the largest university in the Netherlands, with the broadest range of courses on offer. An intellectual hub with 42,000 students, 6,000 staff and 3,000 PhD students. Connected by a culture of curiosity.

Important to know

Your application & 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):

  • a detailed CV including the months (not just years) when referring to your education and work experience;
  • a letter of motivation, including a description of your research interests and an explanation for why you are applying for this position (maximum 1 page); Since we are seeing a surge in AI-supported and AI-written letters, which can be hard to distinguish, we urge you not to use AI tools to compose this letter;
  • a list of all Master-level modules you have taken, with an official transcript of grades;
  • a writing sample, such as a Master’s thesis, a term paper, or a publication (in case of joint authorship, please clearly indicate your own contribution);
  • the names and email addresses of two references who can provide letters of recommendation.

If you have any questions or do you require additional information? Please contact:

  • Dr. Maria Heuss, Assistant Professor, [email protected] . Please quote “PhD Position” in the subject for requesting information

Diversity, Equity & Inclusion

As an employer, the UvA maintains an equal opportunities policy. We value diversity and are fully committed to being a place where everyone feels at home. We nurture inquisitive minds and perseverance and allow room for persistent questioning. With us, curiosity and creativity are the prevailing culture.
Studies show that women and members of underrepresented groups only apply for jobs if they meet 100% of the qualifications. Do you meet the educational requirements but not yet all of the requested experience? The UvA encourages you to apply anyway.

Important to know

Your application & 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):

  • a detailed CV including the months (not just years) when referring to your education and work experience;
  • a letter of motivation, including a description of your research interests and an explanation for why you are applying for this position (maximum 1 page); Since we are seeing a surge in AI-supported and AI-written letters, which can be hard to distinguish, we urge you not to use AI tools to compose this letter;
  • a list of all Master-level modules you have taken, with an official transcript of grades;
  • a writing sample, such as a Master’s thesis, a term paper, or a publication (in case of joint authorship, please clearly indicate your own contribution);
  • the names and email addresses of two references who can provide letters of recommendation.

If you have any questions or do you require additional information? Please contact:

  • Dr. Maria Heuss, Assistant Professor, [email protected] . Please quote “PhD Position” in the subject for requesting information
As an employer, the UvA maintains an equal opportunities policy. We value diversity and are fully committed to being a place where everyone feels at home. We nurture inquisitive minds and perseverance and allow room for persistent questioning. With us, curiosity and creativity are the prevailing culture.
Studies show that women and members of underrepresented groups only apply for jobs if they meet 100% of the qualifications. Do you meet the educational requirements but not yet all of the requested experience? The UvA encourages you to apply anyway.

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