Case Study: University of Oxford predicts career pay with Oracle Cloud Infrastructure Data Science (Oracle)

University of Oxford researchers predict career pay using Oracle Cloud

University of Oxford researchers led by Dr. Matthias Qian built an app to predict career pay using deep learning, aiming to help job seekers compare salaries for the same roles across locations. Their challenge was training large neural networks on a million job ads while needing scalable, high‑speed GPU compute and storage without managing servers, plus a technology partner to provide expertise and support.

With a one‑year Oracle for Research grant and Oracle Cloud Infrastructure Data Science, the team accessed on‑demand GPU/HPC shapes, collaborative notebooks, and model‑explainability tools to train neural nets and develop a web interface. Partnering with Burning Glass Technologies, they produced a salary‑prediction model and AI‑adoption forecasts across geographies, delivering secure, scalable compute, faster provisioning, and practical insights for job seekers and policymakers.

University of Oxford

Matthias Qian

Departmental Lecturer Department of Economics