{"id":11730,"date":"2024-05-28T09:00:45","date_gmt":"2024-05-28T09:00:45","guid":{"rendered":"https:\/\/notesbard.com\/?p=11730"},"modified":"2024-05-26T23:31:14","modified_gmt":"2024-05-26T23:31:14","slug":"16-fully-funded-phd-programs-at-newcastle-university-england","status":"publish","type":"post","link":"https:\/\/notesbard.com\/16-fully-funded-phd-programs-at-newcastle-university-england\/","title":{"rendered":"16 Fully Funded PhD Programs at Newcastle University, England"},"content":{"rendered":"
If you’re a Masters degree holder and seeking Fully Funded PhD Programs, Newcastle University, England has several online applications open for PhD programs. Explore the PhD opportunities across diverse research areas and submit your application soon.<\/span><\/p>\n This project seeks to explore how advanced AI techniques, such as reinforcement-, transfer-, and continual-learning, can be used to address these challenges, with a focus on the application of unmanned ground vehicles, and potentially also unmanned aerial vehicles, to automated crop inspection tasks. Advanced deep learning pipelines will be developed and evaluated both in simulation, and on real-world robotic platforms at the university\u2019s 800-hectare research farm facilities, with the aim of working towards a fully autonomous ground-based crop inspection platform.<\/span><\/p>\n Application Deadline:<\/strong> 30 June 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n One of the main issues with machine learning algorithms is that they are black boxes to human users. It is difficult to make sense of why a machine learning approach has provided a particular result as output. In this project, students will create explainable systems for machine learning systems. Through visualisation techniques, we will help open the black box of the model to understand training and\/or predictions. This area, broadly speaking, is the target and applicants could help shape the project in this domain. We are also interested in understanding the learning dynamics (i.e., loss landscape and backwards propagation) and feature interaction (i.e., attention mechanism) at a large scale neural networks using novel visualisation approaches.<\/span><\/p>\n Application Deadline:<\/strong> 31 May 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n The proposed PhD project is a collaborative partnership between Newcastle University (Newcastle Health Innovation Partnership) and Newcastle City Council\u2019s (NCC) Health Determinants Research Collaboration. The specific focus of the research can be proposed by the applicant. Potential applicants are encouraged to discuss their ideas with the below contacts before submission to ensure their research interest is aligned to the strategic priorities of NCC. Priorities include but are not limited to school exclusions, reducing care entry and late adoption breakdown. Research should include exploring innovative strategies to enhance outcomes for disadvantaged children and families within Newcastle and seek to develop the evidence base and generate actionable recommendations for policy and practice. We are particularly interested in applications that adopt multidisciplinary and multi-methods approaches.\u00a0<\/span><\/p>\n Application Deadline:<\/strong> Friday 7th June 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n The PINZ CDT will train the next generation of process and chemical engineers, and chemists, to develop the new processes, process technologies and green chemistries required for the process industries\u2019 transition to Net Zero. Fast moving consumer good, such as fabric and home care products, have a high market volume and can contribute positively for industrial and consumer sustainability. This project is co-funded by Procter and Gamble and will be focused on the development of novel renewable and biodegradable water-soluble detergent ingredients through a circular economy approach.<\/span><\/p>\n Application Deadline:<\/strong> 31 May 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n This project will explore Computational Fluid Dynamics (CFD) methodologies for optimising filter cleaning processes, with the goal of enhancing filtration efficiency, reducing emissions, and improving the sustainability of energy production. The results will feed directly into real-world applications by leveraging tools such as generative design, CAD\/CAM and 3D printing. The successful applicant will be based at Newcastle University’s School of Engineering, benefiting from comprehensive academic guidance, access to cutting-edge facilities, whilst also working closely with Durham Filtration’s industry professionals at their Jarrow headquarters, with opportunities for field work on energy facilities around the UK.<\/span><\/p>\n Application Deadline:<\/strong> 31 May 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n <\/p>\n The project will examine how cutting-edge methods could help us use relevant historic landscape characteristics to address risks associated with increasingly intense rainfall, focussing on soil erosion and flood risk. The project is original because it will use specific case-studies to develop a new methodology and create knowledge about the long-term environmental value of key historic character types in the UK. It is important because this knowledge has the potential to underpin strategies which use historic character in climate change adaptation. The project includes the opportunity for a placement with Historic England during the fourth year of the research.\u00a0<\/span><\/p>\n Application Deadline:<\/strong> 21\/06\/2024 <\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n Are you interested in developing a 3D Imaging Flow Cytometer for biomedical applications? White blood cell (WBC) analysis is crucial in medical diagnostics, disease monitoring, and fundamental biological research. Traditional flow cytometry methods are limited to measuring cell surface markers and require labelling with fluorescent dyes, which may alter the cell’s properties or introduce artefacts. You will develop a 3D Imaging Flow Cytometer, including hardware (fast-imaging, optics and microfluidics) and software, for the acquisition and real-time processing of WBCs. You will become an expert in several techniques and will be supervised by academics from the Faculty of Medical Sciences and the School of Engineering to deliver this ambitious research. Previous experience in optics, image processing and coding is desirable.\u00a0<\/span><\/p>\n Application Deadline:<\/strong> 3rd June 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n The cellular response to low oxygen levels (hypoxia), is crucial for cell survival and identity. At the cellular level, the transcriptional response is primarily orchestrated by the transcription factor Hypoxia-Inducible Factor (HIF). In low oxygen conditions, HIF is rapidly stabilised, initiating transcription of genes involved in processes such as metabolism and angiogenesis, to restore oxygen balance and promote cell survival. Hypoxia and HIF activation underpin many diseases like cancer and neurodegeneration, emphasising the need to understand HIF’s regulatory mechanisms.\u00a0<\/span><\/p>\n Application Deadline:<\/strong> 14th June 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n Our research theme embraces the exceptional capacity of Machine Learning (ML) to identify patterns in vast collections of electronic health records and imaging data (http:\/\/ai-multiply.co.uk\/). We aim to discern risk patterns at both population and individual patient levels, enabling earlier intervention. Exploring the trajectories and care pathways of MLTCs in the ophthalmology service will be core to this PhD.\u00a0<\/span><\/p>\n Application Deadline:<\/strong> 29th May 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n This is a unique PhD scholarship based in the Newcastle University Electrical Power Group and working alongside the Future Electric Machines Manufacturing (FEMM) Hub team of researchers at Newcastle, Sheffield and Strathclyde Universities, AMRC and NMIS research institutes. This PhD will help you direct your career toward the sustainable electrification of society. You will be a detailed and organised person with a blend of skills across manufacturing, technology, engineering, mathematics, simulation, and experimentation.<\/span><\/p>\n Application Deadline:<\/strong> 31st May 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n In this project, novel laboratory-scale continuous reactors will be designed and 3d-printed, and applied to a variety of real reactions from industry, currently performed in batch, to demonstrate \u201cprocess intensification\u201d and rapid, scalable process development\/optimisation. Previous work in the area by the Process Intensification Group has demonstrated that many batch processes can be made significantly \u201cgreener\u201d via this method of process development. One recent example is a 200-fold reduction in reactor size while removing an organic solvent altogether, whilst maintaining productivity and improving yield\/selectivity etc.\u00a0<\/span><\/p>\n1. Fully Funded PhD Position in Computer Science: AI for Robotics in Agriculture<\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
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2. Fully Funded PhD Position in Computer Science: AI and Machine Learning Explainability<\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
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3. <\/span>Fully Funded PhD Position in children\u2019s social care and\/or education and health inequalities\u00a0<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
4. <\/span>Fully Funded PhD Position in Development of Water-Soluble and Biodegradable Detergent Ingredients from CO2 and Bio-renewable Sources<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
5. <\/span>Fully Funded PhD Position in Optimizing Pulse-Jet Cleaning for Sustainable Energy: A CFD Approach to Emissions Control<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
Find More PhD Programs<\/span><\/a><\/span><\/h3>\n
6. <\/span>Fully Funded PhD Position in Historic landscape character and climate change adaptation: modelling impacts and opportunities\u00a0<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
7. <\/span>Fully Funded PhD Position in Developing a Novel Imaging Flow Cytometer for Label-Free Characterisation of Human White Blood Cells in Health and Disease<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
\n<\/span><\/p>\n8. <\/span>Fully Funded PhD Position in Defining the mechanisms underpinning HIF-1 and HIF-2 dependent transcriptional specificity in hypoxia<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
9. <\/span>Fully Funded PhD Position in Application of artificial intelligence to identify risk patterns and potential solutions for patients with Multiple Long-Term Conditions with a focus on eye disorders<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
10. <\/span>Fully Funded PhD Position in Electrical and Electronic Engineering: Future Electric Machines Manufacturing<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
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11. <\/span>Fully Funded PhD Position in 3D-Printed Reactors for Shrinking Chemical Processes<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n