PhD in Engineering

We invite applications for a fully funded PhD studentship jointly hosted by the University of Westminster (UoW) in central London and the Science and Technology Facilities Council (STFC) at the Rutherford Appleton Laboratory (RAL) in Didcot./nThis is an exceptional opportunity to work at the interface of artificial intelligence, computational imaging, and life sciences, supported by the Ada Lovelace Centre (ALC) of STFC Scientific Computing./nProject aims: develop AI-driven methods for fluorescence fluctuation super-resolution microscopy (FF-SRM), with a focus on Super-Resolution Radial Fluctuations (SRRF), to build machine-learning models exploiting the physics of fluorescence fluctuations for high-resolution, low-toxicity, real-time imaging of living cells./nWork involves designing physics-informed AI architectures, developing spatio-temporal deep-learning models, generating realistic synthetic microscopy datasets, and validating algorithms using state-of-the-art imaging platforms at STFC’s Central Laser Facility./nTraining: time split 75% STFC and 25% UoW; access to advanced super-resolution microscopy facilities, high-performance computing, international workshops, machine-learning schools, and the AI for Science programme at RAL./nLocation mentioned: Didcot, London, Hybrid.