Fully Funded PhD in Accountable AI for Creative Industries

Uva; Amsterdam; Hybrid; EUR 36,000 - 45,000; Full time

Job summary

The University of Amsterdam invites applications for a fully funded four-year Ph.D. position in the Complex Cyber Infrastructure (CCI) group within the Informatics Institute.

The project focuses on Accountable and Responsible AI, spanning AI research, creative industries, and societal regulation. The PhD candidate will work on SafeGenAI and LLM4LM projects, collaborate with supervisors and peers, and contribute to transparent, fair, and compliant AI systems in interdisciplinary contexts in

Qualifications

• MSc in CS, AI or a closely related field.
• Interest in finance and financial services is a plus; prior experience in these fields is advantageous.
• Enthusiasm for the research process: reading research papers, solving problems, applying creative thinking, evaluation and dissemination.
• Ability to critically analyse abstract models as well as concrete implementations.
• Ability to work individually as well as effectively in a team.
• Fluency in written and spoken English.

Responsibilities

• Opacity in GenAI inferencing: make inferencing and reasoning transparent and traceable for accountability.
• AI legal compliance-by-design: build GenAI systems that satisfy EU AI Act requirements while remaining useful.
• Integrate domain-specific knowledge into GenAI to ground outputs and reduce hallucination for non-experts.

Skills

Critical analysis of models

Teamwork

Independent work

Enthusiasm for research

English fluency

Education

MSc in CS, AI or a closely related field

Job description

The University of Amsterdam invites applications for a fully funded four-year Ph.D. position in the Complex Cyber Infrastructure (CCI) group within the Informatics Institute.

The project focuses on Accountable and Responsible AI, spanning AI research, creative industries, and societal regulation. The PhD candidate will work on SafeGenAI and LLM4LM projects, collaborate with supervisors and peers, and contribute to transparent, fair, and compliant AI systems in interdisciplinary contexts in