Heriot-Watt University is seeking a Research Associate to contribute to a UKRI project on detecting scientific fraud through dark data validation. The role focuses on developing novel scientometric indicators by extracting hidden numerical data from figures and validating across text and tables.
The successful candidate will apply image forensics and multimodal ML, collaborate with researchers from Strathclyde, Surrey, and industry, and travel within the UK for project meetings and conferences.
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Multimodal AI Research Associate - Fraud Detection employer: Heriot-Watt University
Heriot-Watt University is an exceptional employer, offering a unique opportunity for a Paralegal to shape and grow the University's legal function while working in a vibrant, diverse environment at our Edinburgh campus. With 33 days of annual leave, a commitment to employee well-being, and a focus on professional development, you will gain invaluable experience across various legal areas and contribute to impactful projects within a globally recognised institution. Join us to be part of a supportive community that values inclusivity and encourages career growth in a dynamic, international setting.
