Post Doctoral Research Associate
Core
Design, implement, and evaluate computational experiments using LLM-based systems to study how AI uncertainty expression affects human reasoning and deliberative openness in morally loaded contexts like law and healthcare.
Role type
Post Doctoral Research Associate (NLP & AI)
Builds
Experimental interfaces, prompting/fine-tuning strategies, and evaluation pipelines for LLMs
Domain
Artificial Intelligence, Natural Language Processing, Human-Centered AI
Deliverable
production ML models
Required skills
PhD in Computer Science, Natural Language Processing, LLM fine-tuning, uncertainty quantification, evaluation of language model outputs
Preferred skills
Research at intersection of NLP and human-centred/social applications
Technologies
Large Language Models (LLMs)
Responsibilities
Lead design and implementation of computational experiments, develop experimental interfaces around LLMs, design prompting and fine-tuning strategies to vary model uncertainty expression, build evaluation pipelines to measure downstream effects on human reasoning
Seniority
Postdoctoral Researcher