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
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
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
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
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
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) 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
One PhD position is available in the Theory and Simulation of Condensed Matter Group at the Department of Physics, King's College London, under the supervision of Dr. Read more
This PhD project aims to explore the transformative potential of Artificial Intelligence (AI) in reshaping financial decision-making, processes, and services. Read more
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
Science and Engineering. Fully Funded EPSRC iCASE and NPL PhD Scholarship. Metrology and Process Integration for defect mapping of next generation semiconductor materials and devices. Read more
Looking to purse a PhD either full time or part time in maritime, aeronautical, aerospace, medical and electronic systems following digital, physical, biological themes then we have opportunities for you. Read more
Supervisory Team: Dr Greg Jasion, Dr Greg Jackson, Prof. Francesco Poletti. Project description. PhD Position. AI-Driven Design of Hollow Core Optical Fibres. Read more
*Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw.
Do you want hassle-free information and advice?
Create your FindAPhD account and sign up to our newsletter:
Find out about funding opportunities and application tips
Receive weekly advice, student stories and the latest PhD news
Hear about our upcoming study fairs
Save your favourite projects, track enquiries and get personalised subject updates
Due to your Facebook privacy settings, we were unable to create your account at this time. Please select another method to sign up.
We were unable to log you in with your Google account at this time. If you have third-party cookies blocked, please enable them, refresh, and try again.
or
Continue with Facebook
Create your account
We were unable to log you in with your Google account at this time. If you have third-party cookies blocked, please enable them, refresh, and try again.
Looking to list your PhD opportunities? Log in here.