**Job Description**
This role, under the supervision of Prof Maria Liakata, is for a Research Assistant or Postdoctoral Research Associate within the RAi UK/UKRI funded Keystone project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing. The position focuses on developing improved evaluation methods for LLMs in real-world scenarios, including reference-free and benchmark-based approaches, enhancing LLMs with temporal reasoning and multi-modal data prediction capabilities, and mitigating hallucinations and biases.
**Skills & Abilities**
• Substantial knowledge of Natural Language Processing (NLP) and machine learning methods
• Good understanding of work in LLM evaluation and fine tuning
• Experience in working on reasoning and explainability of NLP and machine learning models (desirable)
**Qualifications**
Required Degree(s) in:
• Computer Science or a related topic (Undergraduate Degree)
• NLP or machine learning (Ph.D. for PDRA level)
**Experience**
Other:
• Substantial knowledge of Natural Language Processing (NLP) and machine learning methods is essential
• Good understanding of work in LLM evaluation and fine tuning is essential
• Experience in working on reasoning and explainability of NLP and machine learning models is desirable
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