As Artificial Intelligence (AI) becomes deeply embedded in financial decision-making, the urgency to warrant its responsible use is increasing –not only for financial institutions but for society at large. Examples include the increasing reliance on complex AI models for tasks ranging from credit risk assessment to fraud detection and investment strategies, as these raise critical concerns about accountability, fairness and transparency of these models, in high-stakes, highly regulated environments.
This PhD project aims to focus on the emerging field of Responsible AI in Finance, with the goal of advancing knowledge and practice at the intersection of AI research, financial risk management and societal regulatory expectations. The candidate will not only have a chance to contribute to shaping the next generation AI systems within the financial practices, but also potentially more transparent, fair, and compliant ones with evolving societal and regulatory expectations.
As Artificial Intelligence (AI) becomes deeply embedded in financial decision-making, the urgency to warrant its responsible use is increasing –not only for financial institutions but for society at large. Examples include the increasing reliance on complex AI models for tasks ranging from credit risk assessment to fraud detection and investment strategies, as these raise critical concerns about accountability, fairness and transparency of these models, in high-stakes, highly regulated environments.
This PhD project aims to focus on the emerging field of Responsible AI in Finance, with the goal of advancing knowledge and practice at the intersection of AI research, financial risk management and societal regulatory expectations. The candidate will not only have a chance to contribute to shaping the next generation AI systems within the financial practices, but also potentially more transparent, fair, and compliant ones with evolving societal and regulatory expectations.
You will investigate one (or some) of the following key challenges:
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 can be discussed, ideally before the 1st of October 2025. 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 , ranges between € 2,901 in the first year to € 3,707 in the last (scale P). UvA additionally offers an extensive package of secondary benefits, including 8% holiday allowance and a year-end bonus of 8.3%. The UFO profile Promovendus 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.
Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:
Are you curious to read more about our extensive package of secondary employment benefits, take a look here.
You will investigate one (or some) of the following key challenges:
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 can be discussed, ideally before the 1st of October 2025. 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 , ranges between € 2,901 in the first year to € 3,707 in the last (scale P). UvA additionally offers an extensive package of secondary benefits, including 8% holiday allowance and a year-end bonus of 8.3%. The UFO profile Promovendus 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.
Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:
Are you curious to read more about our extensive package of secondary employment benefits, take a look here.
The Faculty of Science (FNWI) 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 mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.
The Complex Cyber Infrastructure (CCI) group is part of the Informatics Institute at the University of Amsterdam. CCI focuses on the complexity of human-made systems on all scales. Cyber Infrastructure is rapidly evolving from relatively simple fixed components to programmable and virtualized objects with many degrees of freedom, owned, operated and governed by different entities in multiple administrative domains interacting on the Internet. Harnessing this complexity in a transparent, trustable way for safe and secure data processing is a major research topic that defines the focus of CCI research. The challenges are addressed by combining methods and results from research into distributed data processing, programmable networks, policy reasoning and normative control, hardware and cryptographic security, and software (language) engineering.
AI4FinTech is a community initiated by the University of Amsterdam. Within the community, AI expertise is brought together with expertise in Financial Technology. We aim to become one of the leading locations worldwide in AI4FinTech research and entrepreneurship. The community is open to anyone employed in academia, the financial industry, governmental institutions and others interested in the topic.
The Faculty of Science (FNWI) 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 mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.
The Complex Cyber Infrastructure (CCI) group is part of the Informatics Institute at the University of Amsterdam. CCI focuses on the complexity of human-made systems on all scales. Cyber Infrastructure is rapidly evolving from relatively simple fixed components to programmable and virtualized objects with many degrees of freedom, owned, operated and governed by different entities in multiple administrative domains interacting on the Internet. Harnessing this complexity in a transparent, trustable way for safe and secure data processing is a major research topic that defines the focus of CCI research. The challenges are addressed by combining methods and results from research into distributed data processing, programmable networks, policy reasoning and normative control, hardware and cryptographic security, and software (language) engineering.
AI4FinTech is a community initiated by the University of Amsterdam. Within the community, AI expertise is brought together with expertise in Financial Technology. We aim to become one of the leading locations worldwide in AI4FinTech research and entrepreneurship. The community is open to anyone employed in academia, the financial industry, governmental institutions and others interested in the topic.
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. We accept applications until and including 22 August 2025.
Applications should include the following information (all files apart from your CV should be submitted in one single pdf file):
Please make sure to provide ALL requested documents mentioned above.
You can use the CV field to upload your resume as a separate pdf document. Use the Cover Letter field to upload the other requested documents, including the motivation letter, as one single pdf file.
A knowledge security check may be part of the selection procedure.
(for details: National knowledge security guidelines).
Only complete applications received within the response period via the link below will be considered. Please do not send any applications by email.
We will invite potential candidates for interviews soon after the expiration of the vacancy.
Do 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. We accept applications until and including 22 August 2025.
Applications should include the following information (all files apart from your CV should be submitted in one single pdf file):
Please make sure to provide ALL requested documents mentioned above.
You can use the CV field to upload your resume as a separate pdf document. Use the Cover Letter field to upload the other requested documents, including the motivation letter, as one single pdf file.
A knowledge security check may be part of the selection procedure.
(for details: National knowledge security guidelines).
Only complete applications received within the response period via the link below will be considered. Please do not send any applications by email.
We will invite potential candidates for interviews soon after the expiration of the vacancy.
Do you have any questions or do you require additional information? Please contact:
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