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Every EU competition agency, and most agencies worldwide, now relies on AI and other computational tools to enforce competition law. The legal framework has not kept pace. ATLANTIS, a five-year project funded by an ERC Consolidator Grant (grant agreement 101228709), builds that framework.
I am Thibault Schrepel, Associate Professor of Law at Vrije Universiteit Amsterdam, and I am hiring three PhD candidates to join the ATLANTIS team. Two positions are legal-track. One is a cross-project computational position. The positions begin on 1 December 2026, last four years, and are based at the VU Amsterdam Faculty of Law. All three candidates will obtain a doctorate.
The three PhD positions
Together, we will build the legal regime for computational antitrust.
The team has one legal-track PhD candidate dedicated to Project A, one legal-track PhD candidate dedicated to Project B, and one (more) computational-track PhD candidate working across both projects. The computational-track candidate will provide the empirical and technical scaffolding needed by the two legal-track candidates. The legal-track candidates will provide the competition law expertise that keeps the technical work tied to live antitrust problems. All three candidates will obtain a doctorate.
A postdoctoral researcher with expertise in institutional economics will join the team about a year after the PhDs start.
Project A: making computational antitrust accurate (one PhD position)
This legal-track PhD will work on the legal framework for data access by competition agencies. The core question is whether Regulation 1/2003 and Directive (EU) 2019/1 need to be updated so that the European Commission and national competition agencies can collect the data their computational tools require while preserving fundamental rights. The project will address data protection, business secrecy, the right to remain silent, and proportionality.
Project B: making computational antitrust fair (one PhD position)
This legal-track PhD will work on the legal regime governing the use of AI by competition agencies. The core question is how to mitigate bias and ensure procedural fairness when agencies rely on AI tools. The project will address transparency, explainability, AI-generated evidence, and standards of proof.
Cross-project computational position (one PhD position)
This PhD will work across Projects A and B and provide the technical backbone of the team. On Project A, the focus will be on data: documenting what data agencies collect, through which channels, in which formats, and where computational bottlenecks arise. On Project B, the focus will be on AI methods: auditing bias in publicly documented agency AI systems and prototyping explainability techniques on representative cases. Although more computational in nature, this position will lead to publications in law venues.
What you will be doing
ATLANTIS will be run as a tight team, not as three PhDs working in parallel silos. We will work together daily (being on campus several days a week will be expected). Drafts circulate inside the team before they go to the international advisory board. Papers are co-authored. You will publish from year one.
Your time will be divided between writing peer-reviewed articles, conducting empirical work with competition agencies, co-organizing ATLANTIS events, and presenting your work to the international advisory board and conferences. Each PhD co-authors several articles with me over four years. At the end of the project, the team co-edits a volume that consolidates the research. You will end up with publications, a book chapter or more, policy briefs, and a body of empirical work you helped build.
You will have direct access to the network of the Stanford Computational Antitrust project, which gathers over 80 antitrust agencies and 50 academics worldwide. It means real interviews, real data-sharing arrangements, real introductions, and the option of visiting agencies that have committed to the project. The agencies involved span multiple jurisdictions including Australia, Brazil, Canada, France, Germany, Japan, the Netherlands, Singapore, South Africa, the UK, and the United States.
You will spend research stays at the institutions of the co-supervisors and the international advisory board. These include leading scholars from Oxford, MIT, Stanford, Harvard, and other top institutions.
You will help organize three annual workshops and an international conference at the end of the project. You will not be a passive attendee. You will shape the programs, invite speakers, present your own work.
You will also teach a small share of your time, capped at 20% over four years under the CAO of Dutch universities. Teaching is supervised and matched to your interests. It will focus on competition law or law & tech issues.
We are hiring for two profiles. In your cover letter, state which one you are applying for. Legal-track applicants may indicate a preference between Project A and Project B, but this is optional. If your background fits both profiles (i.e., legal and more computational), you are welcome to apply to both.
Legal-track profile (two PhD positions, one on Project A and one on Project B). A master’s degree in law with excellent marks, and demonstrated expertise in competition law that is as broad and as deep as possible. This is the central requirement: we are looking for candidates whose academic record (and potentially prior work) show both strong grades and a serious, proven command of competition law. On top of this, the project requires solid command of the legal materials. For Project A, that means Regulation 1/2003, Directive (EU) 2019/1, the GDPR, and the case law of the Court of Justice on requests for information, dawn raids, the rights of the defense. For Project B, that means the AI Act, the case law on the duty to give reasons, and the literature on procedural fairness in administrative enforcement. Comfort with reading empirical work and with the basics of how computational tools are used by agencies is welcome but will be taught.
Computational-track profile (cross-project PhD position). You should preferably have a master’s degree in computer science, data science, computational science, AI, or a closely related field, with excellent marks. You should have documented experience with machine learning, bias and fairness in AI systems, or explainable AI, shown through code, a thesis, a publication, or an industry project. You should be comfortable with empirical data work and with technical writing for non-technical audiences. You do not need a law degree to apply for this position, but you must be willing to engage with legal materials and to write for a legal audience. Candidates with a degree in law can also apply to this position, but they must be able to show credentials or strong knowledge in computational thinking and/or computer science.
At Vrije Universiteit Amsterdam, you contribute to high-quality research and education for a better world. In return for your commitment, we offer you:
We also offer you attractive fringe benefits and development opportunities. Some examples:
The project
ATLANTIS stands for “computAtionaL ANTItruSt”. Computational antitrust is the meeting of antitrust law and computational methods, including AI, data mining, and network analysis. All 27 EU national competition agencies, DG Competition at the European Commission, and most agencies worldwide now rely on these tools across the enforcement cycle, from detecting infringements to monitoring remedies. The legal framework has not kept pace. Agencies struggle to collect data without infringing the rights of defense. They use AI systems whose biases remain largely unexamined. Their institutional arrangements are not empirically documented.
ATLANTIS addresses these problems through three projects on accuracy (Project A), fairness (Project B), and sustainability (Project C for a postdoc position that will be advertised in one year). The goal is to produce a legal framework that allows agencies to use computational tools without sacrificing fundamental rights.
Candidates will be co-supervised by leading scholars from Oxford, MIT, Stanford, Harvard, and other top institutions. The names of the co-supervisors will not be disclosed before the interviews. Several of these scholars will also sit on the project’s international advisory board.
ATLANTIS works as one team, not as five people sharing a corridor. We hold weekly meetings and share regular walks. We also have weekly lunches and run our own communication channel. The campus sits in the city, at the edge of the Amsterdamse Bos, one of the largest urban forests in Europe. If you run, you will find me and several colleagues training there, hopefully with you. ATLANTIS will be hosted within the Amsterdam Law & Technology Institute (ALTI), the Faculty’s hub for research at the intersection of law and technology. ALTI adds a collegial environment and an active seminar culture. The atmosphere is friendly. The expectations are serious.
The positions come with a personal travel budget. Conferences, fieldwork at competition agencies, and research stays at the advisory board institutions are funded from the ERC grant, not from your own pocket and not by competing with the rest of the faculty. Training in computational methods and in institutional economics is built into the project and delivered at VU Amsterdam.
The ATLANTIS website will share project updates, team news, and findings over time: https://teamatlantis.eu
Faculty of Law
At the Vrije Universiteit Amsterdam’s Faculty of Law we train lawyers and criminologists to develop sharp critical minds, with a strong focus on the societal relevance of law. We offer Bachelor’s programmes in four main fields: Law, Notarial Law, Law in Society and Criminology. In addition, we offer an extensive range of Master’s programmes as well as contract education (for non-student visitors). Much of our research is both international and multidisciplinary in character.
Our teaching and research embody the values of cooperation and diversity. We encourage each other to view problems from different perspectives, to think critically, develop a broader mind and arrive at creative legal solutions together.
Are you interested in joining the Faculty of Law? You will work in an active and inspiring academic environment. Together with your colleagues, you will contribute to the excellence of teaching and research in a pleasant and collegial working environment. You will join over 400 staff members responsible for a student body of 4,500.
Vrije Universiteit Amsterdam
Vrije Universiteit Amsterdam stands for values-driven education and research. Maintaining an entrepreneurial perspective and concentrating on diversity, significance and humanity, we work on sustainable solutions with social impact. By joining forces, across the boundaries of disciplines, we work towards a better world for people and planet. Learn more about our codes of conduct
We are on one campus in the heart of Amsterdam's Zuidas business district, with excellent location and accessibility. Over 6,150 staff work at the VU and over 31,000 students attend academic education.
Diversity
Diversity is the driving force of VU Amsterdam. VU wants to be accessible and receptive to diversity in disciplines, cultures, ideas, nationalities, beliefs, preferences and worldviews. We believe that trust, respect, interest and differences lead to new insights and innovation, to sharpness and clarity, to excellence and a broader understanding.
We stand for an inclusive community and believe that diversity and internationalisation contribute to the quality of education, research and our services.
Therefore, we are always searching for people whose backgrounds and experience contribute to the diversity of the VU community.
How to apply
Applications are submitted through the VU Amsterdam vacancy portal. Send the following:
Selection process
If this sounds like the four years you want, apply.
For informal questions about the project or the positions, please contact me directly at [email protected]. Formal applications must be submitted through the VU Amsterdam vacancy portal. Applications sent by email will not be considered.

Every EU competition agency, and most agencies worldwide, now relies on AI and other computational tools to enforce competition law. The legal framework has not kept pace. ATLANTIS, a five-year project funded by an ERC Consolidator Grant (grant agreement 101228709), builds that framework.
I am Thibault Schrepel, Associate Professor of Law at Vrije Universiteit Amsterdam, and I am hiring three PhD candidates to join the ATLANTIS team. Two positions are legal-track. One is a cross-project computational position. The positions begin on 1 December 2026, last four years, and are based at the VU Amsterdam Faculty of Law. All three candidates will obtain a doctorate.
The three PhD positions
Together, we will build the legal regime for computational antitrust.
The team has one legal-track PhD candidate dedicated to Project A, one legal-track PhD candidate dedicated to Project B, and one (more) computational-track PhD candidate working across both projects. The computational-track candidate will provide the empirical and technical scaffolding needed by the two legal-track candidates. The legal-track candidates will provide the competition law expertise that keeps the technical work tied to live antitrust problems. All three candidates will obtain a doctorate.
A postdoctoral researcher with expertise in institutional economics will join the team about a year after the PhDs start.
Project A: making computational antitrust accurate (one PhD position)
This legal-track PhD will work on the legal framework for data access by competition agencies. The core question is whether Regulation 1/2003 and Directive (EU) 2019/1 need to be updated so that the European Commission and national competition agencies can collect the data their computational tools require while preserving fundamental rights. The project will address data protection, business secrecy, the right to remain silent, and proportionality.
Project B: making computational antitrust fair (one PhD position)
This legal-track PhD will work on the legal regime governing the use of AI by competition agencies. The core question is how to mitigate bias and ensure procedural fairness when agencies rely on AI tools. The project will address transparency, explainability, AI-generated evidence, and standards of proof.
Cross-project computational position (one PhD position)
This PhD will work across Projects A and B and provide the technical backbone of the team. On Project A, the focus will be on data: documenting what data agencies collect, through which channels, in which formats, and where computational bottlenecks arise. On Project B, the focus will be on AI methods: auditing bias in publicly documented agency AI systems and prototyping explainability techniques on representative cases. Although more computational in nature, this position will lead to publications in law venues.
What you will be doing
ATLANTIS will be run as a tight team, not as three PhDs working in parallel silos. We will work together daily (being on campus several days a week will be expected). Drafts circulate inside the team before they go to the international advisory board. Papers are co-authored. You will publish from year one.
Your time will be divided between writing peer-reviewed articles, conducting empirical work with competition agencies, co-organizing ATLANTIS events, and presenting your work to the international advisory board and conferences. Each PhD co-authors several articles with me over four years. At the end of the project, the team co-edits a volume that consolidates the research. You will end up with publications, a book chapter or more, policy briefs, and a body of empirical work you helped build.
You will have direct access to the network of the Stanford Computational Antitrust project, which gathers over 80 antitrust agencies and 50 academics worldwide. It means real interviews, real data-sharing arrangements, real introductions, and the option of visiting agencies that have committed to the project. The agencies involved span multiple jurisdictions including Australia, Brazil, Canada, France, Germany, Japan, the Netherlands, Singapore, South Africa, the UK, and the United States.
You will spend research stays at the institutions of the co-supervisors and the international advisory board. These include leading scholars from Oxford, MIT, Stanford, Harvard, and other top institutions.
You will help organize three annual workshops and an international conference at the end of the project. You will not be a passive attendee. You will shape the programs, invite speakers, present your own work.
You will also teach a small share of your time, capped at 20% over four years under the CAO of Dutch universities. Teaching is supervised and matched to your interests. It will focus on competition law or law & tech issues.
We are hiring for two profiles. In your cover letter, state which one you are applying for. Legal-track applicants may indicate a preference between Project A and Project B, but this is optional. If your background fits both profiles (i.e., legal and more computational), you are welcome to apply to both.
Legal-track profile (two PhD positions, one on Project A and one on Project B). A master’s degree in law with excellent marks, and demonstrated expertise in competition law that is as broad and as deep as possible. This is the central requirement: we are looking for candidates whose academic record (and potentially prior work) show both strong grades and a serious, proven command of competition law. On top of this, the project requires solid command of the legal materials. For Project A, that means Regulation 1/2003, Directive (EU) 2019/1, the GDPR, and the case law of the Court of Justice on requests for information, dawn raids, the rights of the defense. For Project B, that means the AI Act, the case law on the duty to give reasons, and the literature on procedural fairness in administrative enforcement. Comfort with reading empirical work and with the basics of how computational tools are used by agencies is welcome but will be taught.
Computational-track profile (cross-project PhD position). You should preferably have a master’s degree in computer science, data science, computational science, AI, or a closely related field, with excellent marks. You should have documented experience with machine learning, bias and fairness in AI systems, or explainable AI, shown through code, a thesis, a publication, or an industry project. You should be comfortable with empirical data work and with technical writing for non-technical audiences. You do not need a law degree to apply for this position, but you must be willing to engage with legal materials and to write for a legal audience. Candidates with a degree in law can also apply to this position, but they must be able to show credentials or strong knowledge in computational thinking and/or computer science.
At Vrije Universiteit Amsterdam, you contribute to high-quality research and education for a better world. In return for your commitment, we offer you:
We also offer you attractive fringe benefits and development opportunities. Some examples:
The project
ATLANTIS stands for “computAtionaL ANTItruSt”. Computational antitrust is the meeting of antitrust law and computational methods, including AI, data mining, and network analysis. All 27 EU national competition agencies, DG Competition at the European Commission, and most agencies worldwide now rely on these tools across the enforcement cycle, from detecting infringements to monitoring remedies. The legal framework has not kept pace. Agencies struggle to collect data without infringing the rights of defense. They use AI systems whose biases remain largely unexamined. Their institutional arrangements are not empirically documented.
ATLANTIS addresses these problems through three projects on accuracy (Project A), fairness (Project B), and sustainability (Project C for a postdoc position that will be advertised in one year). The goal is to produce a legal framework that allows agencies to use computational tools without sacrificing fundamental rights.
Candidates will be co-supervised by leading scholars from Oxford, MIT, Stanford, Harvard, and other top institutions. The names of the co-supervisors will not be disclosed before the interviews. Several of these scholars will also sit on the project’s international advisory board.
ATLANTIS works as one team, not as five people sharing a corridor. We hold weekly meetings and share regular walks. We also have weekly lunches and run our own communication channel. The campus sits in the city, at the edge of the Amsterdamse Bos, one of the largest urban forests in Europe. If you run, you will find me and several colleagues training there, hopefully with you. ATLANTIS will be hosted within the Amsterdam Law & Technology Institute (ALTI), the Faculty’s hub for research at the intersection of law and technology. ALTI adds a collegial environment and an active seminar culture. The atmosphere is friendly. The expectations are serious.
The positions come with a personal travel budget. Conferences, fieldwork at competition agencies, and research stays at the advisory board institutions are funded from the ERC grant, not from your own pocket and not by competing with the rest of the faculty. Training in computational methods and in institutional economics is built into the project and delivered at VU Amsterdam.
The ATLANTIS website will share project updates, team news, and findings over time: https://teamatlantis.eu
Faculty of Law
At the Vrije Universiteit Amsterdam’s Faculty of Law we train lawyers and criminologists to develop sharp critical minds, with a strong focus on the societal relevance of law. We offer Bachelor’s programmes in four main fields: Law, Notarial Law, Law in Society and Criminology. In addition, we offer an extensive range of Master’s programmes as well as contract education (for non-student visitors). Much of our research is both international and multidisciplinary in character.
Our teaching and research embody the values of cooperation and diversity. We encourage each other to view problems from different perspectives, to think critically, develop a broader mind and arrive at creative legal solutions together.
Are you interested in joining the Faculty of Law? You will work in an active and inspiring academic environment. Together with your colleagues, you will contribute to the excellence of teaching and research in a pleasant and collegial working environment. You will join over 400 staff members responsible for a student body of 4,500.
Vrije Universiteit Amsterdam
Vrije Universiteit Amsterdam stands for values-driven education and research. Maintaining an entrepreneurial perspective and concentrating on diversity, significance and humanity, we work on sustainable solutions with social impact. By joining forces, across the boundaries of disciplines, we work towards a better world for people and planet. Learn more about our codes of conduct
We are on one campus in the heart of Amsterdam's Zuidas business district, with excellent location and accessibility. Over 6,150 staff work at the VU and over 31,000 students attend academic education.
Diversity
Diversity is the driving force of VU Amsterdam. VU wants to be accessible and receptive to diversity in disciplines, cultures, ideas, nationalities, beliefs, preferences and worldviews. We believe that trust, respect, interest and differences lead to new insights and innovation, to sharpness and clarity, to excellence and a broader understanding.
We stand for an inclusive community and believe that diversity and internationalisation contribute to the quality of education, research and our services.
Therefore, we are always searching for people whose backgrounds and experience contribute to the diversity of the VU community.
How to apply
Applications are submitted through the VU Amsterdam vacancy portal. Send the following:
Selection process
If this sounds like the four years you want, apply.
For informal questions about the project or the positions, please contact me directly at [email protected]. Formal applications must be submitted through the VU Amsterdam vacancy portal. Applications sent by email will not be considered.





