AI Research Associate — Data Science & Real-World AI

Liverpool John Moores University

Liverpool

On-site

GBP 34,000 - 44,000

Full time

41 hours ago
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Benefits offered by this job

Generous annual leave
Pension scheme
Family-friendly policies

Job summary

Liverpool John Moores University (LJMU) invites applications for a Research Associate in Artificial Intelligence to join the Artificial Intelligence and Digital Technologies Research Institute (AIDTRI). The role focuses on advancing AI and data science research, developing novel AI methods, and supporting external funding bids.

The post involves working with multidisciplinary teams, publishing results, and contributing to initiatives aligned with LJMU Strategy 2030.

Qualifications

  • PhD in Artificial Intelligence, Data Science, Computer Science, Mathematics, Physics or a related discipline, or have submitted your thesis and be awaiting viva.
  • Experience in conducting and publishing high-quality AI research.
  • Strong knowledge of AI algorithms and programming experience in Python, R or similar.

Responsibilities

  • Conduct high-quality research in AI and Data Science.
  • Organise, harmonise and analyse large, multimodal and multi-source datasets.
  • Develop and evaluate AI methods.
  • Collaborate with internal and external research partners.
  • Prepare research papers and conference contributions.
  • Contribute to external research funding applications.
  • Support research management and activities within AIDTRI.

Skills

Python programming
Data analysis
AI algorithms
Communication skills

Education

PhD in AI/Data Science/CS/Math/Physics

Tools

R

Job description

Liverpool John Moores University (LJMU) invites applications for a Research Associate in Artificial Intelligence to join the Artificial Intelligence and Digital Technologies Research Institute (AIDTRI). The role focuses on advancing AI and data science research, developing novel AI methods, and supporting external funding bids.

The post involves working with multidisciplinary teams, publishing results, and contributing to initiatives aligned with LJMU Strategy 2030.

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