We have 22 quantum machine learning PhD Projects, Programmes & Scholarships

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quantum machine learning PhD Projects, Programmes & Scholarships

We have 22 quantum machine learning PhD Projects, Programmes & Scholarships

Simulation-based Quantum Machine Learning for Advancing AI

We are seeking a highly motivated candidate to pursue a PhD opportunity in the exciting and rapidly growing field of simulation-based quantum machine learning to shape the future of AI and quantum computing. Read more

Investigating Quantum Machine Learning for Cyber Security

Quantum Machine Learning (QML) is an emerging field of research that leverages quantum computing to improve the classical machine learning approach to solve complex real-world problems. Read more

Quantum Leap in Medical Diagnosis: Advanced Magnetic Resonance Spectroscopy for Metabolite Quantification [SELF-FUNDED STUDENTS ONLY]

Magnetic resonance spectroscopy (MRS) offers a powerful, non-invasive window into the body's biochemistry. By analyzing the unique spectral signatures of small molecules called metabolites, involved in essential cellular processes, MRS has the potential to revolutionize disease diagnosis. Read more

Innovating IoT Security Through Quantum Metamaterials and Artificial Intelligence

The literature indicates significant advancements in securing IoT networks, especially against quantum computing threats. Bagchi 2023 proposes a post-quantum lattice-based secure framework called LAS-AIBIoT for ambient intelligence-assisted blockchain-based IoT applications. Read more

Machine learning assisted optimization techniques for fitting excitonic spin-orbit models to big data

A PhD studentship is available in the group of Chris Stock (School of Physics and Astronomy, The University of Edinburgh in collaboration with Russell Ewings (STFC-ISIS) and Bo Liu (University of Glasgow School of Electrical Engineering). Read more

Developing fast machine learning potentials for the simulation of biomolecules

To date, most molecular dynamics simulations of biomolecules such as proteins have used molecular mechanics force fields. These are fast but limited in accuracy and do not allow chemical reactions, meaning they cannot be used to study processes such as enzyme catalysis. Read more

Optical coherence tomography (OCT)

Optical coherence tomography (OCT) is a real time, non-invasive and non-contact imaging modality for translucent and transparent tissue capable of providing morphological images at the micron scale resolution at more than 1mm depth penetration. Read more

PhD Research Scholarship Opportunity in NMR analysis of illicit drugs

We’re looking for a highly-motivated PhD applicant to join our multi-disciplinary team, to work on developing a field-invariant NMR spectroscopy database for the analysis of illicit drugs. Read more

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