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We have 41 Optical Physics (learning) PhD Projects, Programmes & Scholarships

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Optical Physics (learning) PhD Projects, Programmes & Scholarships

We have 41 Optical Physics (learning) PhD Projects, Programmes & Scholarships

Last chance to apply

PhD Machine Learning for Medical Imaging

  Research Group: Applied Optics
We are offering a fully funded PhD studentship in the application of machine learning to medical imaging, especially imaging of cancer. Read more

Quantum Machine Learning for Sustainable Energy Optimisation

We are seeking a highly motivated candidate to commence a PhD journey in the dynamic and rapidly growing field of quantum machine learning (QML), focusing on its application in energy system. Read more

Phased array fibre lasers with machine learning

Supervisory Team: Prof Johan Nilsson, Dr William Kerridge-Johns. Project description. This project combines state of the art optical fibre laser amplifiers with machine learning control to produce next-generation lasers. Read more

CDT-QTE: General Purpose Machine Learning Tool-Kit for Bragg Coherent Diffraction Imaging

Supervisory Team: Dr Marcus Newton, Dr Dan Porter, Prof Steve Collins, Prof Paul Quinn. Project description. This project is part of the EPSRC Centre for Doctoral Training in Quantum Technology Engineering at the University of Southampton. Read more

Fully funded PhD studentship: Transforming respiratory care at the bedside using machine learning assisted on-chip vibrational spectroscopy

Supervisory Team. Prof. Senthil Murugan Ganapathy. Project description. Acute respiratory distress syndrome (ARDS), a widespread respiratory condition affecting all ages, causes respiratory failure due to inflamed, fluid-filled lungs hindering gas exchange. Read more

Develop a machine learning approach to multimodal imaging

The emergence of antimicrobial resistance (AMR) threatens to undo the advances of modern medicine, making commonplace interventions like major surgery or cancer chemotherapy effectively impossible. Read more
Last chance to apply

AI based instrumentation and sensing

The rise of artificial intelligence (AI) and deep learning has been transforming humans ability to execute complex inference tasks using computers. Read more

Photo-chemical adaptive integrated circuits for next generation neuromorphic computing

Neuromorphic computing, i.e., an approach to information processing inspired in basic morphology and working principles of the brain, is a rapidly growing area of research due to the availability of high-speed hardware and need for artificial intelligence (AI) systems across a wide range of applications. Read more

Novel nanophotonic phenomena in near-fields: time and spatial structuring

The Novel Nanophotonic Phenomena team, led by Dr. Francisco J. Rodríguez-Fortuño at King's College London, invites applications for a PhD position focused on the theoretical exploration of electromagnetic near-fields. Read more

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