Heriot-Watt University seeks a Research Associate to contribute to the SATERN project, developing novel scientometric indicators for detecting scientific fraud. You will work on image forensics, multimodal ML, and clustering, collaborating with Strathclyde, Surrey, and industry to advance fraud detection in scholarly publishing.
The role requires a PhD in a relevant field, strong Python skills, and the ability to travel for project meetings within the UK.
#J-18808-Ljbffr
Multimodal ML Research Associate: Fraud Detection in Papers 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.
