Agent-Based AI Systems Threat Modelling Associate Part-Time

Bath

Bath

Sur place

GBP 40 000 - 47 000

Temps partiel

Il y a 14 heures
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Résumé du poste

The University of Bath invites applications for a part-time AKT Associate in Agent-Based Modelling & AI Systems. The role is a 0.5 FTE fixed-term position linked to a 3-month project funded through UKRI Innovate UK.

You will design agent-based models and reference architectures for Human-AI Systems, collaborating with university academics and industry partners on AI assurance and cyber-security research.

Qualifications

  • BSc in Computer Science, AI, Software Engineering, Data Science or a related discipline.
  • Strong programming skills, particularly in Python or similar languages.
  • Knowledge of software development and modelling approaches.
  • Ability to work both independently and collaboratively.
  • Excellent written and verbal communication skills.

Responsabilités

  • Develop agent-based simulation models representing human and AI actors.
  • Contribute to the creation of reference architectures for Human-AI Systems (SoHAS).
  • Support the development of threat and resilience modelling approaches.
  • Encode vulnerabilities, attack behaviours and mitigation strategies within simulation environments.
  • Analyse how failures and disruptions propagate across complex socio-technical systems.
  • Contribute to project reports, presentations and recommendations.
  • Engage regularly with both academic and industrial project partners.

Connaissances

Python
Agent-based modelling
AI systems
Independent work
Communication skills

Formation

BSc in Computer Science or related

Outils

Reference architectures

Description du poste

The University of Bath invites applications for a part-time AKT Associate in Agent-Based Modelling & AI Systems. The role is a 0.5 FTE fixed-term position linked to a 3-month project funded through UKRI Innovate UK.

You will design agent-based models and reference architectures for Human-AI Systems, collaborating with university academics and industry partners on AI assurance and cyber-security research.

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