University of Cambridge, England invites online application for multiple fully funded PhD programs in various research areas. Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible.
1. PhD Studentship – Using Artificial Intelligence to Enhance Screening for Atrial Fibrillation
Summary of PhD Positions:
This is a 3.5-year studentship in the application of Engineering in Medicine funded by the W.D Armstrong Trust Fund at the University of Cambridge. Background: Atrial fibrillation (AF) is a heart arrhythmia which is associated with a fivefold increase in risk of stroke, and yet is undiagnosed in 425,000 people in England. We are investigating whether screening for AF could reduce the incidence of stroke in the SAFER Trial. During screening, patients use a handheld device to record their electrocardiogram (ECG) four times a day for three weeks. This results in a large number of ECG recordings which must be manually reviewed by clinicians to diagnose AF. This process is costly and time-consuming.
Application Deadlines: 6 June 2022
2. PhD Studentship – Lithium-Ion Batteries
Summary of PhD Positions:
The safety and the possibility of fast charging of lithium-ion batteries are mainly limited by lithium plating on the graphite anode. A 4-year PhD studentship funded by the Faraday Institution is available in the research groups of Professors Clare Grey and Stuart Clarke to understand the impact of electrode-electrolyte interface processes on lithium plating. Specifically, the project aims to understand how graphite surface groups interact with the electrolyte molecules and facilitate the non-desired electrodeposition of lithium, and will develop new methods for the prediction and prevention of dendrite formation. The goal is to identify metal plating signatures on graphite and use the insights to improve battery safety and enable fast charging.
Application Deadlines: 20 May 2022
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3. Pat Brooks Senior Clinical Training Scholarship (SCTS) in Small Animal Medicine
Summary of PhD Positions:
The Pat Brooks Senior Clinical Training Scholarship in Small Animal Medicine is available, to start on 1 August 2022. The training programme covers all aspects of small animal medicine, including cardiology, oncology, medical neurology, diagnostic imaging and clinical pathology, and is approved by the European College of Veterinary Internal Medicine. The Scholar will be required to register for the Diploma of the European College of Veterinary Internal Medicine. The training programme requires participation in the Department’s clinical service, including the out-of-hours rota and first opinion practice, in addition to small-group teaching of veterinary students.
Application Deadlines: 31 May 2022
4. Fully-Funded (Home Rate) PhD Studentship (Fixed Term)
Summary of PhD Positions:
PhD Studentship: Metallic two-dimensional materials for lithium sulphur batteries Supervisor: Professor Manish Chhowalla Eligibility: Applications are welcome from home and international students (although places for international students are limited. Please see UKRI guidance for more details). Fixed-term: The funds for this post are available for 4 years in the first instance. Looking for a battery related career that contributes to creating a sustainable future? Keen to join a dynamic community of pioneering battery researchers seeking to find solutions to support a fully electric future? The project will involve investigation of two-dimensional metallic transition metal dichalcogenides as catalytically active cathodes for Li-S batteries. It will involve synthesis of the materials, their structural and electrochemical characterisation, and fabrication and testing of Li-S batteries. The project will also involve operando characterisation of the devices.
Application Deadlines: 31 May 2022
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5. EPSRC ICASE Studentship – Digital twins of physical optical networking infrastructure
Summary of PhD Positions:
Applications are invited for a joint Microsoft Research UK / EPSRC ICASE funded PhD project in the area of optical fibre communication systems. In core networks there is a huge quantity of metrology available ranging from SNR and BER measured by the transceivers through to the input and output powers of optical amplifiers and switches. The aim of this PhD project would be to use machine learning applied to metrology information, combined with the underpinning physics to create a digital twin of the physical optical network infrastructure. Not only would the digital twin be updated in real-time, but it would also incorporate the uncertainty into the model allowing for real-time margin allocation to improve the operation of the optical network. Ultimately it would allow the optical network to operate at the limits of performance, based on measurements of the actual infrastructure, so as to allow the throughput as a function of availability to be optimised, to give the best user experience of a given installed infrastructure.
Application Deadlines: 31 May 2022
6. EPSRC ICASE Studentship – Creating a photonic networking layer
Summary of PhD Positions:
Applications are invited for a joint BT EPSRC ICASE funded PhD project in the area of optical fibre communication systems. Currently optical networking is driven by the networking layer with the Internet Protocol (IP), treating the physical photonic layer as static pipes with no intelligence. However, this is currently changing with the emergence of machine learning and the availability of high-speed pluggable transceivers such as 400G-OpenZR+ that could be integrated into routers. This creates a compelling the case for converging IP layer routing and with the WDM photonic layer, in which the WDM photonic layer will offer space and wavelength multiplexing and switching. This in turn has the potential to create a significant shift in the design and operation of the network architecture by co-designing the network layer switching with the physically layer for create a photonic networking layer, able to easily implement concepts such as segment-based routing.
Application Deadlines: 31 May 2022
