CALL FOR A POSTDOCTORAL RESEARCHER IN COMPUTER SCIENCE / LAW
CALL FOR A POSTDOCTORAL RESEARCHER IN COMPUTER SCIENCE / LAW
About the Project
Sorbonne University, Sorbonne Cluster for AI and « Sciences, Normes, Démocratie » research center (UMR 8011), in partnership with Beink Dream, is seeking a postdoctoral researcher to join our team for a research project focused on the intersection of computer science / artificial intelligence and intellectual property law. The position is for 12 months, and may be extended for an additional 6-month period, and is based in Paris.
The Project focuses on the intersection of artificial intelligence, creativity, and intellectual property law. The core research question examines how to prove creativity in AI-generated content from a legal perspective.
The project investigates several dimensions:
- Prompt Analysis and Documentation: Developing methodologies to identify and classify the prompts used in generative AI systems to understand their role in the creative process.
- Distinguishing Creativity from Uncontrolled Generation: Establishing frameworks to differentiate between intentional creative choices and outputs resulting from uncontrolled or random generation by AI systems. Examining the extent and nature of human control in AI-assisted creative processes, particularly as it relates to legal concepts of authorship and originality.
- Training Data Influence: Analyzing how training datasets influence AI-generated outputs, including questions of derivative work, originality, and potential copyright implications.
The research aims to provide legal scholars, policymakers, and practitioners with evidence-based frameworks for assessing creativity and authorship in the age of generative AI.
Research Focus & Responsibilities
The successful candidate will explore legal and technical challenges related to the ownership and attribution of AI-generated creations, with a particular emphasis on evidentiary aspects.
Key responsibilities include:
- Conducting in-depth interdisciplinary research on AI-generated works and their intellectual property implications.
- Proposing new approaches to establish forensic proof of ownership in AI-generated content.
- Collaborating with experts in law and policy-making.
- Publishing research findings in peer-reviewed journals and presenting at conferences.
Qualifications & Skills
- PhD in Computer Science or a related field.
- Strong background in Law and / or Policy (intellectual property law, AI governance, or digital evidence)
- Strong background on one of the following machine learning fields: large language models, computer vision, diffusion models, GANs
- Experience with prompt engineering and AI model evaluation. Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)
- Experience in interdisciplinary research and legal-technical analysis.
- Excellent research and academic writing skills in English and French
Application Requirements
Interested candidates should submit the following by November 1st, 2025 a detailed research statement (maximum 3,000 words), including:
- A research proposal outlining the central questions, theoretical and methodological approaches, and expected contributions of the postdoctoral research.
- A CV detailing relevant research experience and publications.
- One writing sample (e.g., a published article, dissertation chapter, or working paper).
Preselected candidates will be invited to an interview. The six-month position will start in January 2026.
Applications should be sent to [email protected]