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英国生态水文研究所联合伦敦帝国理工招深度学习与生态遥感结合博士生
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英国生态水文研究所联合伦敦帝国理工招收2021年入学博士生1名（有奖学金），主要研究方向为遥感，人工智能，机器学习，深度学习技术创新，应用在生态领域解决实际环境科学问题。 招生启事 uk centre for ecology and hydrology in collaboration with imperial college london is seeking 1 phd student interested in machine learning, deep learning, geospatial data science and remote sensing, with application in ecology and environmental science. the phd will start on october 2021 based on imperial college london and uk centre for ecology and hydrology. successful student will develop proficiency and pursue research on the following areas: (i) machine learning and deep learning techniques for image feature extraction. (ii) processing and analysis of ultra-fine resolution uav imagery and 3d point clouds. (iii) development of data processing chains to map the health of species and to deliver products (plant distribution map) fit for long term monitoring. (iv) statistical analysis and ecological modelling to explore the potential drivers in the decline of endangered species. supervision team the supervision team is based on centre of excellence in environmental data science (ceeds; https://ceeds.ac.uk/), joint venture between uk centre for ecology & hydrology (ukceh) and lancaster university, with collaboration in imperial college london, department of life science. dr ce zhang (main supervisor, ukceh) professor peter m. atkinson (co-supervisor, lu) dr france gerard (co-supervisor, ukceh) professor robert ewers (co-supervisor, imperial college london) project details https://www.imperial.ac.uk/media ... _50_ukceh_zhang.pdf how to apply prospective students should contact dr ce zhang (cezhang@ceh.ac.uk) with the email subject line “prospective phd student” and include your cv, covering letter (maximum 2 pages), transcript, contact information of two references, and a brief description of how your interests connect to this project and my research areas (see details here: https://www.lancaster.ac.uk/lec/about-us/people/ce-zhang). deadline for applications: 4 january, 2021 we are seeking applications from graduates with an excellent (i.e., 1st class or 2.1) undergraduate degree, and preferably also a master’s degree, in a machine learning-related subject. you should have a strong background in computer science, mathematics, ecology/environmental science with strong quantitative (e.g., programming) skills. you must have demonstrable potential for creative, high-quality phd research. exceptional international/overseas students are strongly encouraged to discuss co-funding opportunities. 详情请见(第50个项目):https://www.imperial.ac.uk/grant ... ship-opportunities/ [ last edited by zhangce8880 on 2020-10-26 at 20:36 ] [ Last edited by zhangce8880 on 2020-10-26 at 20:37 ] |
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