Research Fellow: Real-Time AI & Wireless Health in Uxbridge

Research Fellow: Real-Time AI & Wireless Health in Uxbridge

Uxbridge Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Brunel University of London

At a Glance

  • Tasks: Develop low-latency AI models and collaborate on exciting digital healthcare projects.
  • Company: Brunel University London, a leader in innovative research.
  • Benefits: Generous benefits package and opportunities for publishing at top conferences.
  • Other info: Join a dynamic team and advance your career in cutting-edge research.
  • Why this job: Make a real impact in AI and wireless health while working with industry partners.
  • Qualifications: Experience in AI/ML and a passion for digital healthcare.

The predicted salary is between 63000 - 77000 £ per year.

Brunel University London invites applications for a Research Assistant/Research Fellow position to contribute to EU projects funding digital healthcare AI research and wireless communication optimisation. The role entails developing low‑latency AI inference models for markerless pose detection and collaborating with industry partners across the UK/EU.

The successful candidate will be involved in publishing findings at top AI/ML conferences and will be supported by a generous benefits package.

Research Fellow: Real-Time AI & Wireless Health in Uxbridge employer: Brunel University of London

Brunel University of London is an exceptional employer, offering a dynamic work environment in Uxbridge that fosters academic excellence and innovation. With a strong emphasis on research-driven teaching, employees benefit from generous annual leave, comprehensive training opportunities, and a supportive community that encourages professional growth and collaboration.

Brunel University of London

Contact Details:

Brunel University of London Recruitment Team

We think you need these skills to ace Research Fellow: Real-Time AI & Wireless Health in Uxbridge

AI Inference Models
Markerless Pose Detection
Wireless Communication Optimisation
Collaboration with Industry Partners
Research Publication
Digital Healthcare
Low-Latency Systems