拉夫堡大学PhD position in From Pixels to Phenotypes: Using AI and Large Language Models for Precision Plant Specimen Image Analysis申请条件要求-申请方
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拉夫堡大学
PhD直招介绍
About the Project
There are hundreds of millions of specimens housed in libraries (herbaria) worldwide. Many are digitized and is easily accessible online, but the information contained within these images remains less accessible, as the analysis of specimens typically requires physical measurements, interpretation of in-hand or digitized specimens, or invasive methods.
This project will explore standard protocols for digitising analytical imaging of specimens, focussing on carnivorous plants. It will develop artificial intelligence and statistical analysis methods to automatically measure components of plant phenotype (e.g., morphology, flowering). Considering that the performance of existing deep learning based object detection models fails to generalise well to new data, this project will further investigate the possibility of using pre-trained LLMs (such as BERT (Jia et al. 2022) and Alpaca-7B) as prior knowledge to improve the detection performance. The effectiveness of AI models will be compared with manual evaluations conducted on optical images and destructive methods.
94% of Loughborough’s research impact is rated world-leading or internationally excellent. REF 2021
Supervisors
Primary supervisor: Dr Haibin Cai( https://www.lboro.ac.uk/departments/compsci/staff/haibin-cai/ )
Secondary supervisors: Dr Jonathan Millett, Professor Paul Roach, Dr Nicky Nicolson, Dr Elspeth Haston
拉夫堡大学 PhD position in From Pixels to Phenotypes: Using AI and Large Language Models for Precision Plant Specimen Image Analysis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
The NERC studentship is funded for 3.5 years starting from October 2025 and provides a tax-free stipend of £19,237 per annum (in 2024/25) for the duration of the studentship plus tuition fees at the UK rate. It also provides a Research Training Support Grant (RTSG) of £8,000. Further guidance about eligibility is available at UKRI Terms and Conditions( https://www.ukri.org/manage-your-award/meeting-ukri-terms-and-conditions-for-funding/ ). Due to UKRI funding rules( https://www.ukri.org/publications/eu-and-international-eligibility-for-ukri-studentships-from-2021/ ), no more than 30% of the studentships funded by this grant can be awarded to International candidates, but successful International candidates will have the difference between the UK and International tuition fees provided by the University.
拉夫堡大学Phd申请条件和要求都有哪些？PhD position in From Pixels to Phenotypes: Using AI and Large Language Models for Precision Plant Specimen Image Analysis项目是不是全奖？有没有奖学金？下面我们一起看一下拉夫堡大学申请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
Entry requirements
Applicants will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Geography, Biology, Chemistry, Earth Science or Environmental Science, Computer Science, Engineering, or an appropriate Master’s degree.
English language requirements
Applicants must meet the minimum English language requirements. Further details are available on the International website( https://www.lboro.ac.uk/international/applicants/english/ ).
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