Research Associate in Trustworthy AI for Peer Review: Developing and Validating Composite Research Quality Indicators
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Job Description
This part-time Research Associate position focuses on developing and validating trustworthy AI for peer review, specifically by creating and testing a "Trust Card" framework for new scientometric indicators. Key responsibilities include data processing, systematic testing of the framework, and contributing to the evaluation of AI-generated research quality indicators. Essential requirements are a PhD (or near completion) in Computer Science or a related field, and experience with data processing and analytics.
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Key Responsibilities
- Conduct and disseminate original research aligned with the project and in collaboration with the team
- Contribute to outreach and impact engagement activities of the project.
- Identify appropriate sources of funding and help prepare research proposals for funding bodies
- Demonstrate initiative in making routine decisions in order to manage and achieve project deliverables and deadlines
- Participate in, and develop, networks and collaborations both internally and externally to the Division/School /University
- Any other duties, commensurate with the grade of the post
- Responsible for data processing and analysis of REF data and data from the publisher , as well as systematic testing and validation of the Trust Card by working closely with team members and project partners
- Contribute to the evaluation of novel scientometric indicators
- Work as part of the team to help organize events and support the work of the team as needed
Requirements
- These are the criteria on which the short-listing and recruitment selection will be made.
- PhD in Computer Science or a relevant discipline, or currently working towards a PhD in Computer Science or a closely related discipline
- Experience of data processing and analytics.
- Experience or desire to work with those from other disciplines
- Evidence of self-motivation and the ability to work independently
- Evidence of excellent oral and written communication skills
- Excellent time management skills including the ability to prioritise workload
- Experience in machine learning research and applications, especially LLM related development and evaluation
- Experience in using LLMs or agentic systems for processing and evaluating research papers
- Experience in software testing
- Knowledge in trustworthy AI
- Experience in working in interdisciplinary research or industrial projects
- Evidence or knowledge to support international activities
About This Position
What does this position pay?
The advertised salary for this role is GBP 38,448 – 48,337. The final offer within the band depends on qualifications and experience, as set by Heriot-Watt University's enterprise agreement.
Where is this position based?
The position is based at Heriot-Watt University, in Edinburgh, GB. Check the job description above for flexible or hybrid arrangements.
How do I apply for this job?
Click the Apply button on this page — it takes you to Heriot-Watt University's official application portal, where you submit your application directly to the university. Tenurify only aggregates the listing and never handles applications or charges candidates.
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