Postdoc: Open-Source LLM Development for the Humanities

Corehr

Oxford

On-site

GBP 40,000 - 48,000

Full time

2 days ago
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Job summary

The University of Oxford invites applications for a fixed-term Postdoctoral Researcher in Large Language Model Development. The role focuses on curating multilingual humanities corpora from Oxford's GLAM collections, and on continual pre-training and fine-tuning of an open-weight foundation model on the University’s HPC infrastructure.

You will publish model weights, code, corpus documentation and benchmarks as open-source resources; contribute to a follow-on funding bid; collaborate on

Qualifications

  • PhD/DPhil or substantial ML experience in research or industry.
  • Strong understanding of deep learning and NLP; ability to train, adapt and deploy LLMs.
  • Excellent Python and software engineering skills; publication record.

Responsibilities

  • Curate multilingual humanities corpora from Oxford's GLAM collections.
  • Pre-train and fine-tune open-weight foundation models on University HPC infrastructure.
  • Design and validate evaluation benchmarks for humanities tasks.
  • Publish model weights, code, corpus documentation and benchmarks as open-source resources.
  • Contribute to technical roadmap and follow-on funding bids; collaborate on publications and conferences.
  • Deliver project workshop for GLAM, digital humanities and AI communities.

Skills

Python programming
Deep learning
NLP
Research experience

Education

PhD in a relevant field

Tools

HPC
MLOps
Git

Job description

The University of Oxford invites applications for a fixed-term Postdoctoral Researcher in Large Language Model Development. The role focuses on curating multilingual humanities corpora from Oxford's GLAM collections, and on continual pre-training and fine-tuning of an open-weight foundation model on the University’s HPC infrastructure.

You will publish model weights, code, corpus documentation and benchmarks as open-source resources; contribute to a follow-on funding bid; collaborate on

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