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【2025拉夫堡大学-CSC博士奖学金】运筹学/机器学习/智能交通系统
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【项目概况】 课题：Intelligent Transport Network Optimisation and Decision Support Leveraging Machine Learning and Operations Research 主题：运筹学、机器学习。 场景：智能交通网络优化、决策支持。 联系方式：J.Woodward@lboro.ac.uk, xinwei.wang@qmul.ac.uk（感兴趣的同学请从速联系 Dr John Woodward 和 Dr Xinwei Wang）。 联系截止日期：2025年1月5日。 套瓷材料要求：个人简历、成绩单、雅思/托福成绩单、研究计划（不强求，有最好）。 详情介绍请见以下英文描述。 【额外福利】 成功申请者除拥有拉夫堡大学Dr John Woodward作第一导师外，还将有Queen Mary University of London的Dr Xinwei Wang作第二导师； 将有机会到Queen Mary University of London进行为期最长12个月的学习培训； 提供CSC奖学金外的额外资金，用于参与国际会议、走访合作大学或工业伙伴等。 【学校概况】 拉夫堡大学QS 2024世界排名212、UK National Complete University Guide Rankings 2023全国第7。 计算机科学整体满意度英国第一。 General Topic: Intelligent Transport Optimisation and Decision Support Leveraging Machine Learning and Operations Research Primary advisor: Dr John R. Woodward, Co-advisor: Dr Xinwei Wang. To apply for the Loughborough CSC studentship, the applicant will work with the supervisors to complete a research proposal within the general topic mentioned above i.e. intelligent transport. A list of potential research projects include: 1. Truck Platooning Coordination with Uncertainties 2. Optimised Coordination of Truck and Drone Routes for Last-Mile Urban Deliveries 3. Integrated Airport Airside Operations 4. Scheduling Collaborative Ground and Aerial Vehicles for Emergency Reconnaissance 5. Analysis of Shared and Personalised Factors Influencing Driver Perception of Risk About the scholarship: • CSC will provide living expenses and return flight tickets and Loughborough will provide a full tuition fee; • Successful applicants will join the Department of Computer Science at Loughborough, working with the primary supervisor at the same department, and with the external academic supervisor at Queen Mary University of London; • The student will have the opportunity to visit Queen Mary University of London for up to 12 months to boost their skills, grow their network and work alongside other academic researchers; • Additional funding will be available to cover site visits and dissemination of the results at international conferences, workshops and collaborative universities and industrial partners. About the university: • 7th in the UK (National Complete University Guide Rankings 2023) and 212nd in the World (QS World University Rankings 2024) • 1st in the UK for Overall Satisfaction in Computer Science • 91% of Loughborough's research was classed as world-leading or internationally excellent in the last UK Research Excellence Framework (REF-2021) About the applicants: • A top Master or undergraduate student (top 5%) in the following areas: Computer Science, Operational Research, Machine Learning, Transportation Engineering, Systems Engineering and Control Engineering. • English minimum requirement: IELTS 6.5 or equivalent English tests. • Preferably from a top Chinese university (211 and 985). • Preferably with some decent publications. About the supervisors: • Primary Supervisor: Dr John R. Woodward (https://www.lboro.ac.uk/departments/compsci/staff/john-woodward/) is the Head of Computer Science Department and a Reader in Computer Science at Loughborough University. He received the B.Sc. degree in theoretical physics, M.S. degree in cognitive science, and Ph.D. degree in artificial intelligence from the University of Birmingham, Birmingham, U.K. He has previously led the Operational Research group at Queen Mary, University of London (https://or.qmul.ac.uk/people.html) and prior to that lectured at the Universities of Stirling, Nottingham and Birmingham. He was with the European Organization for Nuclear Research (CERN), Switzerland, where he conducted research into particle physics, the Royal Air Force as an Environmental Noise Scientist, and Electronic Data Systems as a Systems Engineer. He has expertise in Automatically Building Better Algorithms, and genetic programming. He has worked on domains including combinatorial optimisation problems, scheduling, and software engineering. He is currently ranked at position 36 out of over 10,000 researchers on The Genetic Programming Bibliography and regularly contributes to The Conversation supporting public engagement. • External Supervisor: Dr Xinwei Wang (https://www.sems.qmul.ac.uk/staff/x.wang) is a Lecturer (Assistant Professor) at Queen Mary University of London (QMUL), UK. He was a Postdoc at TU Delft, The Netherlands from 2020 to 2022, and at QMUL from 2019 to 2020, respectively. Prior to that, he obtained a PhD degree from Beihang University, China in 2019. Over the years, he has integrated artificial intelligence and systems engineering for risk assessment, motion planning and decision making in aerospace/transport intelligent systems. He has established close connections to world-leading research groups from University of Sheffield, Cranfield University, Loughborough University, TU Munich, TU Berlin, TU Delft, TU Dresden, EPFL and also top universities in China. He is an Associate Editor of the Journal Advances in Space Research, and member of Young Editorial Board of the Journal Astrodynamics. He is a recipient of the Marie Sklodowska-Curie Actions Co-Fund Fellowship (2022), and IEEE ITSS Young Professionals Travelling Fellowship (2022). He has authored over 40 papers, including those in TR Part C, IEEE T-ITS, IEEE T-SMC, IEEE T-FS, IEEE T-VT, IEEE T-AES, etc. He has been listed in Top 2% Scientists in Aerospace & Aeronautics Worldwide 2023 by Stanford University. The deadline for submitting your application to Loughborough is 31 January 2025. If you are interested in this CSC studentship, please contact Dr John Woodward and Dr Xinwei Wang with your CV, transcripts, English test scores (IELTS/TOEFL) and (preferably) a research proposal no later than 5 January 2025 by email: J.Woodward@lboro.ac.uk and xinwei.wang@qmul.ac.uk. Interviews will be arranged shortly. For more information on how to apply for this Loughborough CSC scholarship, please refer to this link https://www.lboro.ac.uk/study/po ... cholarship-council/ |
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