PhD Studentship in Multimodal AI for Societal Impact

PhD Studentship in Multimodal AI for Societal Impact

Full-Time 21805 - 21805 £ / year (est.) No working from home possible
Technical University of Denmark

At a Glance

  • Tasks: Conduct groundbreaking research in multimodal AI for healthcare and assistive technologies.
  • Company: Join Manchester Metropolitan University, a leader in Computing & Digital Technology.
  • Benefits: Receive a stipend of £21,805 per year and gain invaluable research experience.
  • Other info: Three-year PhD studentship with opportunities for professional growth.
  • Why this job: Make a real societal impact through innovative AI research and collaboration.
  • Qualifications: Passion for AI and strong analytical skills required.

The predicted salary is between 21805 - 21805 £ per year.

Manchester Metropolitan University invites applications for a three-year Ph D studentship in Computing & Digital Technology.

This project sits within the AI, Digital and Cyber-Physical Systems research theme and aims to advance context‑aware multimodal learning.

The successful candidate will collaborate with a UKRI‑funded team on learning from vision, language and audio signals for healthcare and assistive technologies, with a stipend of £21,805 per year.

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PhD Studentship in Multimodal AI for Societal Impact employer: Technical University of Denmark

The University is an exceptional employer, offering a supportive and collaborative work environment that prioritises employee well-being and professional growth. With the flexibility of hybrid working and generous leave entitlements, including 36 days off, staff are encouraged to maintain a healthy work-life balance while contributing to the academic success of students in the Faculty of History.

Technical University of Denmark

Contact Details:

Technical University of Denmark Recruitment Team

We think you need these skills to ace PhD Studentship in Multimodal AI for Societal Impact

Multimodal Learning
Context-Aware AI
Vision Processing
Natural Language Processing
Audio Signal Processing
Healthcare Technology
Assistive Technologies