Postdoctoral Fellow and Research Engineer Positions on Uncertainty Quantification in LLMs in Oxford and Singapore
Yee Whye Teh
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 and exciting component of this next phase.
Postdoc and research engineer positions are available in a joint project across Oxford, Nanyang Technological University and National University of Singapore studying the reliability of LLMs through the lens of uncertainty quantification (UQ), Bayesian inference, conformal prediction, and world models. Along with industrial and government partners, the postholder and project team will use these methods to address current issues with LLMs, such as reward hacking, active learning and testing of LLMs.
If you are interested, please apply through the following links:
If you would like to be based in Oxford, apply through
Postdoctoral Fellow (deadline Feb 26 noon UK time): https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=177895
Research Engineer (deadline Feb 26 noon UK time): https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=177935
If you would like to be based in Nanyang Technological University, apply through
If you would like to be based in National University of Singapore, apply through
Postdoc applicants should be close to completion or hold a relevant Ph.D/D.Phil with post-qualification research experience in the areas of deep learning and/or large language models. Research engineer applicants should be close to completion or holds a MSc or above in a relevant technical subject (e.g. computer science, statistics, engineering, with interest in deep learning and/or large language models.
Only shortlisted candidates will be notified.