Are you holding Master’s degree and looking for fully funded PhD positions? University of Greenwich, England invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. Fully Funded PhD Position in Understanding the soil microbiome under controlled light conditions
Summary of PhD Program:
Our research group is working within a consortium that is testing semi-transparent solar panels fitted to growth-houses, to enhance biological and financial resilience in protected-crop farming. We are evaluating electricity supply, the effect of partial shade on crops, and use of resources, such as water-use efficiency. As well as commercial aims, there is scientific interest in how manipulating the light quantity and quality can alter or enhance crop characteristics. Typically, LED-lighting is tailored by the farmer, but coloured, semi-transparent, photovoltaic materials can also be used to shade crops in all or part of the light spectrum.
This project will provide new cell biology and commercial understanding of crop effects, and explore how altered light regimes affect pathogens, rhizosphere communities and plant root biology. The ideal candidate would have experience in microbiology, plant biology or molecular biology. You should be enthusiastic about supporting NetZero farming and have an interest in the fundamental science that underpins agriculture. Experience in analysing microbiomes and bioinformatic data would be helpful.
Application Deadline: 24 June 2024
2. Fully Funded PhD Position in Towards decolonising AI safety research – A state of the art analysis of the AI cyber risks to citizens’ digital rights in the Global South
Summary of PhD Program:
The project aims to analyse the dispossession of citizens of the Global South of their digital rights (security, privacy, intellectual property, identity, and data sovereignty) and the inadequacy of contemporary cyber security research for these rights. This analysis will be done in the context of AI alignment and the current and potential risks of AI, and intersecting systems of modern-coloniality, globalised neoliberal economies, and authoritarianism.
This PhD will propose ways forward for cyber security researchers and communities in the Global South, to decolonise the realm of AI security research and ally with Southern citizens and communities in reclaiming individual and collective data sovereignty. This PhD will focus on specific Global South regions, with which the PhD student and supervisory team are familiar (e.g., West Africa, Middle East). T
Application Deadline: 06 June 2024
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3. Fully Funded PhD Position in Enhancing neural network efficiency for resource-constrained devices through dispersive flies optimisation
Summary of PhD Program:
This scholarship will support the PhD candidate in frontier research in swarm-led neural network pruning and quantisation. These are two critical processes to optimise artificial intelligence models for efficiency and speed, especially important for deployment in resource-constrained environments. Pruning involves reducing the complexity of a neural network by systematically removing weights or connections that contribute the least to the output predictions, thereby reducing the model’s size and computational demands without significantly compromising its accuracy. This can be likened to trimming unnecessary branches off a tree to ensure it grows healthier and more robust.
Quantisation, on the other hand, simplifies the numerical precision of the weights and activations within a neural network, typically converting floating-point representations to lower-bit integers. This process reduces the model’s memory footprint and speeds up inference, making it feasible to deploy sophisticated AI models on devices with limited computational power, such as smartphones and IoT devices. Together, pruning and quantisation streamline neural networks, making them faster and less resource-intensive while maintaining performance, crucial for deploying advanced AI in real-world applications.
Application Deadline: 30 June 2024
4. Fully Funded PhD Position in Decolonising the pathways between soil science agricultural policy
Summary of PhD Program:
In this PhD project you will use various approaches including diverse value of nature and ethics of care to
i) explore the relationship between soil and land evaluations to key agricultural policies by systematically reviewing archival data from the Natural Resources Institute, and comparing publicly available policy data of two countries in Latin America and Caribbean. You will
ii) explore the integration of historical soil maps and aerial photos and their interpretations into contemporary remote sensing databases for agricultural development using Geographic Information System software e.g. ArcGIS. You will consolidate historical documentation in order to examine a) the changes in soil survey reporting from 1950 to present and b) the changes in land use and agricultural development based on recommendations over the time period. The analysis will contribute to the development of an interactive map, tracing the various technical studies, recommendations, and policy changes across time and space.
iii) Lastly, you will compare agricultural policies in the period following independence to identify potential differences in agricultural policies with high or low efforts towards decolonisation of agricultural sciences.
Application Deadline: 28 June 2024
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5. Fully Funded PhD Position in Data-driven image mechanics (D2IM)
Summary of PhD Program:
The recent advent of deep learning (DL) has enabled data-driven models, paving the way for the full exploitation of rich image datasets from which physics can be learnt. Here at the University of Greenwich we recently developed a novel data-driven image mechanics (D2IM) approach that learns from digital volume correlation (DVC) displacement fields of bone, predicting displacement and strain fields for undeformed X-ray computed tomography (XCT) images [1]. This was the first study using experimental full-field measurements on bone structures from DVC to inform DL-based model such as D2IM, which represents a major contribution in the prediction of displacement and strain fields only based on the greyscale content of undeformed XCT images.
The proposed PhD project will expand on this work to further develop D2IM capability by incorporating a range of biological structures (hard and soft tissues) and loading scenarios for accurate prediction of physical fields. The project will benefit from a unique InCiTe 3D X-ray microscope from our partner KA Imaging (https://www.kaimaging.com/industry-andresearch-solutions/incite-micro-ct/) capable of sub-micron resolution and fast phase-contrast (first and only technology of this type in Europe), including in situ mechanics and dedicated software/coding solutions available at the Centre for Advanced Materials and Manufacturing (CAMM) as well as the Centre for Advanced Simulation and Modelling (CASM).
Application Deadline: 1 July 2024
6. Fully Funded PhD Position in Cyber and Privacy Risk Management of AI systems
Summary of PhD Program:
AI has taken its rightful place as a key disruptive technology over the last few years. The availability of open-source software platforms (e.g. Hugging Face, OpenAI, VertexAI) enables the sharing and access of AI models and their source code. Although these platforms make accessibility to AI models more ubiquitous, they often include significant vulnerabilities and given that the perverseness of AI systems is inevitable, there is a need for sustainable methodologies to comprehensively identify new vulnerabilities and ways of modelling threats throughout the AI lifecycle. This PhD aims to develop a sustainable framework to support the deployment of secure, privacyenhanced, and transp
Application Deadline: 14 June 2024
7. Fully Funded PhD Position in Continuous extrusion processing of novel materials
Summary of PhD Program:
We are seeking an enthusiastic and talented scientist for a PhD scholarship funded by a renowned industrial partner. You will join a unique research environment (Centre for Research Innovation) featuring strong cross-disciplinary links between Pharmaceutical Technology, Pharmaceutical Analysis and Materials Science. Our group has an outstanding track record in continuous manufacturing including high quality publications, research funding and international awards. Moreover, the Centre is equipped with state-of-the-art processing and analytical equipment. The candidate will conduct research under the supervision of Prof Dennis Douroumis.
