Postdoctoral Researcher - Causal Systems Modeling for AI Governance (Oxford AI Governance Initi[...]

TN United Kingdom; Oxford; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a Postdoctoral Researcher for an innovative initiative focused on AI governance. This role offers a unique opportunity to engage in groundbreaking research that combines technical AI capabilities with essential governance frameworks. The successful candidate will delve into systems modeling, develop safety cases for AI systems, and contribute to fostering stakeholder trust through rigorous methodologies. With a commitment to inclusivity and diversity, this position promises a dynamic environment for collaboration across various fields, making a significant societal impact through research and mentorship.

Qualifications

• Conduct research in systems modeling and technology governance.
• Develop safety cases for AI systems and explore interpretability methods.

Responsibilities

• Mentor junior researchers and collaborate across disciplines.
• Work on projects integrating AI capabilities with governance needs.

Skills

Graphical Causal Modeling

Model Interpretability

Explainability Methods

Causality-based Control Methods

Education

PhD in Social Sciences or Computational Sciences

Job description

Postdoctoral Researcher - Causal Systems Modeling for AI Governance (Oxford AI Governance Initiative), Oxford

Client:

University of Oxford

Location:

Oxford, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

bdcc823cf0de

Job Views:

1

Posted:

08.05.2025

Expiry Date:

22.06.2025

Job Description:

The Oxford Martin School, located at 34 Broad Street, Oxford, OX1 3BD, is seeking a Postdoctoral Researcher for the Oxford Martin AI Governance Initiative (AIGI Oxford). The initiative aims to enhance the societal impact of AI through rigorous research grounded in social and computational sciences, decision-maker education, and training future technology governance leaders. It uniquely focuses on AI governance from both technical and policy perspectives.

The successful candidate will conduct research in systems modeling, including graphical causal modeling and the foundational methodologies of technology governance studies. Responsibilities include developing safety cases for AI systems, exploring model interpretability, explainability, and verification methods—particularly white box techniques and causality-based control methods. The role involves working on projects that integrate technical AI capabilities with governance needs, supporting regulatory frameworks, and fostering stakeholder trust.

This position offers flexibility to explore various research avenues within the initiative’s mission, such as political risk frameworks, economic subsystem interactions, and multi-agent systems. The candidate will also mentor junior researchers and collaborate across disciplines, including engineering, computer science, government, and law. The role is a full-time, fixed-term position for two years. The Oxford Martin School promotes an inclusive culture that values diversity, and applications from diverse candidates are encouraged.

Additional Information:

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Created on 08/05/2025 by TN, United Kingdom