Research Associate

Atomic Layer Deposition; City of Edinburgh; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

A leading technology research institution in Edinburgh is seeking a researcher to collaborate on innovative projects involving large language model agents. Candidates should have a PhD or be near completion in ML, NLP, or related fields, and a strong research track record. The position offers flexibility in work patterns and funding for international travel, along with visa sponsorship for applicants.

Benefits

Funding for international travel

Access to HPC infrastructure

Flexible work patterns

Qualifications

• Completed or nearly completed PhD in relevant fields.
• Proven research excellence with publications.
• Experience in implementing foundation models and neuro-symbolic systems.

Responsibilities

• Conduct cutting-edge research in LLM agents.
• Benchmark failure models and develop safer versions.
• Document methodology and write scientific papers.

Skills

Research excellence

Implementation of foundation models

Experience in NLP

Experience with neuro-symbolic systems

Education

PhD or near completion in ML, MLSys, NLP or related fields

Job description

Overview

The position is in collaboration with the Huawei Trustworthy Technology and Engineering Laboratory Munich (TTE-DE). The project aims to create a new generation of large language model (LLM) agents that are more reliable, consistent, and trustworthy. The role is part of the Edinburgh University School of Informatics.

Responsibilities

• Conduct cutting‑edge research in LLM agents with neuro‑symbolic layers.
• Benchmark failure models of foundation models and develop safer neuro‑symbolic versions.
• Document methodology and write scientific papers.

Qualifications

• PhD or near completion in ML, MLSys, NLP or related CS/engineering/maths.
• Track record of research excellence, evidenced by publications in top‑tier venues.
• Experience in implementation of foundation models / LLMs, evidenced by published papers and projects on GitHub.
• Experience in implementation of neuro‑symbolic systems, evidenced by published papers and projects on GitHub.

Benefits

• Funding for international travel and access to HPC infrastructure.
• Open to UK and international applicants; visa sponsorship available.
• Full‑time 35 hours per week; flexible part‑time or hybrid patterns are considered.