PhD in Accountable and Responsible AI

University of Amsterdam; Amsterdam; On-site; EUR 40,000 - 50,000; Full time

Job summary

University of Amsterdam seeks a candidate with an MSc in CS, AI or a closely related field to contribute to research on transparency and accountability in GenAI inference and AI regulatory compliance-by-design. The role involves critical analysis of abstract models and their concrete implementations, and active participation in team projects within the Complex Cyber Infrastructure group.

The successful applicant will study research papers, craft thoughtful evaluations, and disseminate findings

Qualifications

• MSc in CS, AI or related field required or in progress.
• Strong interest in finance and financial services is a plus.
• Enthusiasm for the research process: reading papers, solving problems, applying creative thinking, evaluating and disseminating findings.

Responsibilities

• Study research papers and current literature.
• Solve complex problems and contribute to ongoing GenAI research projects.
• Present findings via writing and oral presentations, both individually and in team settings.

Skills

Analytical thinking

Research skills

Team collaboration

Communication

Education

MSc in CS, AI or related field

Job description

Opacity in GenAI inferencing: How can the inferencing and reasoning processes of GenAI systems be made sufficiently transparent and traceable to support accountability in high-stakes professional contexts? AI legal compliance-by-design: How can GenAI systems be built to satisfy the requirements of the regulations such as the EU AI Act — including transparency, human oversight, and risk management — while remaining practically useful in domain-specific workflows? SMEs lack the expertise to navigate complex regulatory environments: How can domain-specific structured knowledge be integrated into GenAI systems to ground their outputs, reduce hallucination, and support trustworthy decision for non-expert users?

• MSc in CS, AI or a closely related field.


• Strong interest in Interest in finance and financial services is a plus.


• previous experience in these fields is a plus.


• Enthusiasm for the research process: studying research papers, solving complex problems, applying creative thinking, evaluation, reflection and disseminating findings via writing and oral presentations.


• The ability to critically analyse abstract models as well as concrete implementations.


• The ability to work individually as well as effectively in a team Fluency in written and spoken English a detailed CV including the months (not just years) when referring to your education and work experience; a letter of motivation; a list of publications; the names and email addresses of two references who can provide letters of recommendation.

Dr. Ana Oprescu, Assistant Professor Complex Cyber Infrastructure, [e-mail]