赫尔大学PhD position in CASE Project: Revolutionising Early Detection of Crop Pathogenesis using AI-based analysis of digital Imagery申请条件要求-申请方
主办方
赫尔大学
PhD直招介绍
About the Project
This project will be undertaken in collaboration with Data Dynamics Ltd and includes a minimum 3-month placement based at the Industry Partner's premises.
The aim of the project is to provide an low-cost methodology for farmers to increase crop yields while reducing the environmental impact and enhancing biodiversity and wildlife. A critical current issue for agricultural production across the whole of the UK is the management of spatially discrete areas of crop infestation, drought and lack of nutrients. Current farm management practices are extremely wasteful as entire fields are sprayed rather than just affected patches. This project will work closely with an innovative company involved in the application of AI to the agri-tech sector and a number of local agricultural stakeholders on two current crop pathogens, a weed infestation problem, blackgrass, which significantly impacts cereal farmers and Virus Yellows disease which is currently severely impacting the UK Sugar Beet industry.
The project will involve the acquisition of a comprehensive, accurate and detailed multi- sensor, multi-platform remote sensing imagery dataset using a range of state-of-the-art ground- ,UAV- and satellite-mounted hyperspectral remote sensing datasets acquired under highly controlled conditions at plot - to - field scales over a growing cycle of crops affected by blackgrass and Virus Yellows Disease. A detailed ground sampling will be implemented with the spatial and temporal resolution to provide a robust validation of the results of the remote sensing study. Working with industry and academic supervisors the student will develop novel explainable AI models to probabilistically detect early signs of pest infestations and diseases in sugar beet and blackgrass infestation; incorporate AI-driven phenology models, spread models and weather and climate data into the system to produce an AI-driven ensemble system for holistic and robust sugar beet health assessments and blackgrass infestation. The project will provide an assessment of the feasibility of implementing continuous ecosystem health monitoring and near real-time vulnerability assessments for up-to-date risk management.
About YBDTP:
YBDTP brings together world-class bioscience research and innovation, as well as excellence in doctoral supervision, across the region. YBDTP will fund postgraduate researchers at the Universities of Leeds, Sheffield, York, Bradford, Hull, Leeds Beckett, Sheffield Hallam and Teesside forming a strong regional training partnership. In YBDTP you'll benefit from a regional doctoral training programme that has interdisciplinary collaboration at its core. The aim is to enable you to develop a range of research skills in biological, biotechnology and biochemical areas as well as equip you with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers.
https://www.whiterose-mechanisticbiology-dtp.ac.uk/yorkshire-bioscience-dtp/
赫尔大学 PhD position in CASE Project: Revolutionising Early Detection of Crop Pathogenesis using AI-based analysis of digital Imagery项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
A tax-free annual stipend at the standard UKRI rate (£19,237 for 2024/25 entry), research costs and tuition fees at UK rate
Academic year: 2025/26
Open to: International (including EU) and UK (home) students
The studentships are fully funded for four years, and you must complete your PhD in four years.
You'll receive the UKRI minimum doctoral stipend per year for your living costs, which is paid to you in regular instalments. The UK Research and Innovation( https://www.ukri.org/apply-for-funding/studentships-and-doctoral-training/get-a-studentship-to-fund-your-doctorate/ ) (UKRI) stipend is tax free and does not need to be paid back.
费用
International students will need to have sufficient funds to cover the costs of their student visa( https://www.gov.uk/student-visa ), NHS health surcharge( https://www.gov.uk/healthcare-immigration-application/how-much-pay ), travel insurance and travel to the UK as these are excluded from UKRI funding.
赫尔大学Phd申请条件和要求都有哪些？PhD position in CASE Project: Revolutionising Early Detection of Crop Pathogenesis using AI-based analysis of digital Imagery项目是不是全奖？有没有奖学金？下面我们一起看一下赫尔大学申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
Open to International (including EU) and UK (home) students.
You can apply if you have, or are expecting to gain, at least an upper second-class honours degree or equivalent. Due to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested in using your skills in addressing biological questions. International students should check if they meet the entry requirements for their country( https://www.york.ac.uk/study/international/your-country/ ).
We aim to support the most outstanding applicants from outside the UK and are able to offer a limited number of bursaries that will enable full studentships to be awarded to international (EU and non-EU) applicants. These full studentships will only be awarded to exceptional quality candidates, due to the competitive nature of this scheme.
The Yorkshire Bioscience DTP is committed to recruiting extraordinary future scientists regardless of age, ethnicity, gender, gender identity, disability, sexual orientation or career pathway to date. We understand that commitment and excellence can be shown in many ways and have built our recruitment process to reflect this. We welcome applicants from all backgrounds, particularly those underrepresented in science, who have curiosity, creativity and a drive to learn new skills.
Not all projects will be funded; a limited number of candidates will be appointed via a competitive process.
English language: If English isn't your first language, you may need to provide evidence of your English language ability.
报名方式
申请链接
联系人
邮箱：wrdtp@leeds.ac.uk
招生人信息
Prof Graham Ferrier
邮箱：G.Ferrier@hull.ac.uk
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