Postdoctoral Fellow and Research Engineer Positions in LLMs
Postdoctoral Fellow and Research Engineer Positions in LLMs at Oxford, Nanyang Technological University, and National University of Singapore
By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever-growing array of capabilities. The next phase of development will be dominated by the use of LLMs in real-world scenarios, and improving LLM reliability will be a crucial component of this next phase.
Postdoc and research engineer positions are available in a project across Oxford, Nanyang Technological University, and National University of Singapore, studying the reliability of LLMs through the lens of uncertainty quantification (UQ), Bayesian, conformal prediction, and world models.
Along with partners, the postholder and team will use these methods to address current issues with LLMs, such as reward hacking, active learning, and testing of LLMs.
Apply through the following links:
- Postdoctoral Fellow (Oxford)
- Research Engineer (Oxford)
- Research Fellow (Singapore)
- Postdoctoral Fellow (Singapore)
Postdoc applicants should be close to completion or hold a relevant Ph.D/D.Phil with post-qualification research experience in deep learning and/or large language models. Engineer applicants should be close to completion or hold a MSc or above in technical subject (e.g. computer science, statistics, engineering, interest in deep learning and/or large language models.
Only shortlisted candidates will be notified.
Tags: Postdoctoral Fellow, Research Engineer, Uncertainty Quantification, LLMs, Oxford, Singapore, Nanyang Technological University, National University of Singapore, Deep Learning, Large Language Models