Fully Funded PhD Fellowship in Artificial Intelligence

About the role

The Department of Computer Science at Bahria University invites highly motivated candidates to join a three‑year, fully funded PhD fellowship focused on privacy‑preserving federated soft biometrics for real‑time covert urban surveillance.

Key responsibilities

• Design and implement AI models that analyse non‑intrusive biometric traits such as gait, clothing, posture and activity patterns.
• Integrate federated learning and edge computing techniques to ensure data privacy across distributed sensors.
• Collaborate with researchers at London Metropolitan University on joint publications and knowledge exchange.
• Conduct experiments using high‑performance computing facilities and big‑data analytics pipelines.
• Publish findings in high‑impact journals and conferences.

Required profile

• Strong academic background in Computer Science, Electrical Engineering or a related field.
• Demonstrated research interest in AI, computer vision, or privacy‑preserving technologies.
• Motivation to contribute to smart‑city security solutions.

Required skills

• Artificial Intelligence
• Computer Vision
• Federated Learning
• Edge Computing
• Big Data Analytics
• Incremental Learning
• Distributed Learning
• Human‑Centric AI

What we offer

• Full tuition fee coverage for three years.
• Monthly stipend of PKR 100,000.
• Access to advanced AI labs and high‑performance computing resources.
• International research collaboration and potential exchange opportunities.
• Support for publishing in high‑impact venues.