Research Fellow in Privacy-Preserving Clinical NLP leading research on AI privacy with NHS data. Developing methods to evaluate and mitigate privacy risks in transformer-based NLP systems.
Responsibilities
Lead cutting-edge research at the intersection of natural language processing, large transformer models, and AI privacy.
Work with real-world NHS clinical and administrative data within secure Trusted Research Environments.
Develop novel methods to understand, evaluate, and mitigate privacy risks in transformer-based NLP systems.
Shape how advanced language models can be safely developed, evaluated, and disclosed in high-stakes healthcare settings.
Requirements
PhD (awarded or near completion) in NLP, Machine Learning, Computer Science, AI, Health Informatics, or a related discipline.
Hands-on experience developing and evaluating transformer-based language models.
Experience working with sensitive health data, clinical text, or secure research environments is highly desirable.
Knowledge of model robustness, fairness, bias mitigation, explainability, or governance in AI systems is advantageous.
Comfortable designing rigorous computational experiments and analysing model behaviour.
Strong interest in responsible, safe, and privacy-aware AI.
Benefits
A competitive salary.
An exciting, positive, creative, challenging and rewarding place to work.
To be part of a diverse and vibrant international community.
Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page and use our reward calculator to discover the value of your pay and benefits.
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