Research Associate/fellow Ai Safety Assurance

5 months ago


University of York, United Kingdom University of York Full time

**Department**:
**Role**:
You will study how machine learning requirements could be systematically derived from safety analysis and updated and validated through-life. You will develop approaches for determining and validating appropriate ML safety metrics or qualitative indicators, considering different uncertainties in the wider system and its constantly changing environment.

This is an inherently interdisciplinary research area and will require you to work closely and effectively with other team members and be able to explain your research clearly and precisely. You will evaluate your research through in-depth case studies, requiring close collaboration with industrial and regulatory partners.

**Skills, Experience & Qualification needed**:

- First degree in Computer Science, Engineering, or cognate discipline
- PhD in Computer Science, Systems Engineering, Human-Computer Interaction or Human Factors, or equivalent experience
- Knowledge of safety requirements and specification techniques
- Knowledge of safety analysis or safety cases
- Knowledge of machine learning or data science
- Ability to work as part of a diverse and multidisciplinary team
- Competency in system safety processes and methods
- Experience of researching safety-critical systems (analysis, assurance, human factors or safety management)

**Interview date**: to be confirmed

The University strives to be diverse and inclusive - a place where we can ALL be ourselves.

We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork


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