本期更新了英国地区十所院校的博士研究项目信息，包括土木与环境工程、建筑学、医学健康、计算机科学、艺术与文化研究等不同学院的跨学科研究机会。项目的主要情况已摘选出信息，也可通过扫取推文最后的“博士项目官方完整信息pdf”了解具体申请要求。
牛津大学DPhil：空间数据科学和零碳耐热城市
帝国理工学院PhD：城市疏散程序的建模和优化
曼彻斯特大学PhD：基于城市与人类互动的热舒适度与能源使用优化
布里斯托尔大学PhD：通过虚拟现实了解自身和他人身体感知的机制
利兹大学PhD：约克郡地区与全球大多数艺术家之间的脱节问题
南安普顿大学PhD：基于内嵌物理知识神经网络与数据同化技术预测和改善城市空气质量
杜伦大学PhD：基于人工智能的用户心理健康干预措施
纽卡斯尔大学PhD：由交互设计与技术精神促进社区福祉
卡迪夫大学PhD：通过定制人工智能驱动的非玩家角色(NPC)增强沉浸式游戏体验
利物浦大学PhD：战后水库景观的环境、保护和感知
牛津大学
University of Oxford
DPhil Research Studentship: Spatial Data Science and Zero Carbon Heat-Resilient Cities—Urban Climate Data, Diagnoses, and Interventions to Support Zero-carbon and Sustainable Cooling in Cities
研究主题：空间数据科学和零碳耐热城市—城市气候数据、诊断和干预措施，以支持零碳和可持续制冷
# 空间数据科学、机器学习、地理空间统计
# 城市气候适应、城市热岛、零碳与可持续性、冷却技术
隶属部门/导师：
申请截止时间：
资助情况说明：
3.5-year DPhil studentship. For the award value, course fees are covered at the level set for home or overseas students. The stipend (tax-free maintenance grant) is the value of the UKRI minimum stipend.
项目背景介绍：
The rapid increase of global mean temperature and unprecedented heat events require new approaches to support and monitor the climate adaptation and heat resilience of cities. The thesis aims to integrate crowdsourced urban climate observations (citizen weather stations) with satellite and remote sensing data using machine learning techniques to generate high spatio-temporal resolution observations of urban atmospheric states and dynamics. The research will support the development of an urban heat diagnosis tool with global applicability to enable insight and evidence-supported actions to promote zero-carbon and sustainable cooling at different scales. The research scope will focus on three cities in different climates where data are available, and the candidate will use existing methods already developed and tested at Oxford as a starting point.
全球平均气温的迅速上升和高温事件需要新的方法来辅助和监测城市的气候适应和热恢复能力。本项目结合机器学习、城市气候观测、卫星遥感数据等，目标生成城市大气动态的高时空分辨率观测结果，并开发具有全球适用性的城市热诊断工具，以促进不同规模的零碳与可持续冷却，最终的方法论将以牛津为试验点，并在不同气候的城市中进行拓展应用。
帝国理工学院
Imperial College London
PhD Post: Modelling and Optimization of Urban Evacuation Procedures
研究主题：城市疏散程序的建模和优化
# 城市疏散程序建模、城市交通管理的智能工具实施
# 交通系统与人口统计数据集开发、优化模型设计、算法改进
隶属部门/导师：
申请截止时间：
资助情况说明：
The studentship will provide funding for up to 3.5 years, including Home tuition fees (3 years) and a tax-free stipend at the standard UKRI London rate, £20,062 for the 2023/24 academic year, for 3.5 years. Full funding is available to Home students.
项目背景介绍：
曼彻斯特大学
The University of Manchester
PhD Research Project: An Integrated Framework for Urban and Human Interactions to Optimize Thermal Comfort and Energy Use
研究主题：基于城市与人类互动的热舒适度与能源使用优化
# 城市热岛、能耗评估、室内舒适度
# 城市信息学、城市建筑能源模型、城市微气候模型、数字孪生
隶属部门/导师：
Department of Mechanical, Aerospace and Civil Engineering/Dr Prashant Anand (IIT Kharagpur) & Dr Jaise Kuriakose
申请截止时间：
资助情况说明：
The project is based at The University of Manchester and IIT Kharagpur. Funding for this dual-award programme includes tuition fees and standard living allowances at both institutions for all four years, including two years at UKRI minimum stipend rate while in Manchester.
项目背景介绍：
Cities are becoming hotspots for extreme heat waves exacerbated by urban heat islands (UHI), driven by the interplay of their macro-climatic setting, micro-climatic conditions, and increasing energy use. Maintaining indoor thermal comfort during heat waves increases both the urban-scale energy and cooling demand which results in fluctuations of electricity demand. Hence more detailed inter-building energy-exchange dynamic simulations in urban microclimate settings are necessary to quantify the extent of demand variations and consequences of supporting the urban infrastructure. This project aims to develop a Digital Twin model of integrated frameworks for Urban Building Energy Modelling, urban micro-climate models, and urban informatics to simulate and characterize the relationship between indoor comfort and inter-building energy-exchange dynamics for a given micro-climate.
项目导师Dr Prashant Anand & Dr Jaise Kuriakose的过往研究成果
布里斯托尔大学
University of Bristol
PhD Opportunity: Using Virtual Reality to Understand the Mechanisms Underlying Perception of Own and Others’ Bodies
研究主题：通过虚拟现实了解自身和他人身体感知的机制
# 认知科学、人机交互、环境干预与健康影响
# 虚拟现实、3D人体扫描、眼动追踪与脑电图
隶属部门/导师：
Bristol Medical School/Dr Helen E Bould, Prof Ian Penton-Voak, Prof Iain Gilchrist, & Prof Danae Stanton-Fraser
申请截止时间：
资助情况说明：
The PhD is funded by the University of Bristol and includes full UK PhD tuition fees and a stipend at UKRI rates (currently £18,622 for 23/24). Overseas students are welcome to apply but would need to fund the difference between home and overseas fees.
项目背景介绍：
项目导师Dr Helen E Bould, Prof Ian Penton-Voak, & Prof Iain Gilchrist的官方介绍
利兹大学
University of Leeds
WRoCAH AHRC Collaborative Doctoral Award: Artists Networks: Whose Voice Counts? Researching the Disconnects with and for Artists from the Global Majority in the Yorkshire Region
研究主题：研究约克郡地区与全球大多数艺术家之间的脱节问题
# 艺术家网络、参与度维系、社会文化影响
隶属部门/导师：
School of Fine Art, History of Art and Cultural Studies/Dr Robert Knifton
申请截止时间：
6 March, 2024
资助情况说明：
The award provides fees and maintenance at UKRI Rates (£18,622 in Session 2023/24) plus £600 enhancement per annum. Collaborative doctoral studentships are 40 months in duration for full-time study and are subject to satisfactory academic progress. Awards must be taken up in October 2024; no deferrals are possible.
项目背景介绍：
项目导师Dr Robert Knifton的过往研究成果
南安普顿大学
University of Southampton
PhD Research Project: Using Physics-informed Neural Networks and Data Assimilation to Predict and Improve Urban Air Quality
研究主题：基于内嵌物理知识神经网络与数据同化技术预测和改善城市空气质量
# 城市流体动力学、城市空气污染、居民福祉与公共健康
# 内嵌物理知识神经网络PINN、数据同化和优化、数据驱动建模
隶属部门/导师：
申请截止时间：
资助情况说明：
Funding for tuition fees and a living stipend are available on a competitive basis. Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.
项目背景介绍：
项目导师Dr Sean Symon & Dr Christina Vanderwel的官方介绍与过往研究成果
杜伦大学
Durham University
PhD Research Project: AI-based Interventions for Mental Health Conditions
研究主题：基于人工智能的用户心理健康干预措施
# 机器学习、人机交互、用户体验评估、以用户为中心的设计
# 数字心理健康治疗、手机应用开发、推荐系统技术
隶属部门/导师：
申请截止时间：
Applications are accepted all year round.
资助情况说明：
项目背景介绍：
Mental health conditions are conditions, disorders, or illnesses where significant changes in the emotions, thinking, and behavior of an individual are evident. This project will aim to explore, design, develop, and evaluate AI-based interventions for mental health conditions. Although some digital mental health interventions exist (e.g., smartphone apps, VR, conversational agents), there is room for significant contributions in addressing the unique aspects of individual mental health conditions and exploring AI-based methods for their screening, detection, prediction, and developing and delivering personalized digital interventions to the target user groups. This project will therefore comprise a combination of the following: To develop a smartphone app for delivering real-time personalized digital interventions, designed as a recommender system. To collect, prepare, and analyze multimodal data about individual users by applying, improving, and/or innovating machine learning/deep learning algorithms.
项目导师Dr Suncica Hadzidedic的官方介绍与过往研究成果
纽卡斯尔大学
Newcastle University
PhD Studentship in Computer Science: Interaction Design-Techno-Spirituality for Community Wellbeing
研究主题：由交互设计与技术精神促进社区福祉
# 精神信息学、关怀伦理、以社区为中心的设计、居民健康福祉
# 人机交互、精神体验设计、感知和追踪技术
隶属部门/导师：
申请截止时间：
28 March, 2024
资助情况说明：
Award Duration of 3.5 years. 100% Home fees covered and a minimum tax-free annual living allowance £18,622 (2023-24 UKRI rate). International applicants are welcome to apply but will be required to cover the difference between Home and International fees.
项目背景介绍：
宗教/精神(R/S)实践与日常生活交织在一起，与人们的福祉和精神支持存在着内在联系。该项目将探索交互式技术如何支持R/S实践和广泛应用，同时批判性地研究数字和数据驱动工具带来的挑战，如相关的感知和追踪技术，并满足一般的社区使用场景和需求。
项目导师Dr Caroline Claisse的官方介绍与过往研究成果
卡迪夫大学
Cardiff University
PhD Project: Towards Next-Generation Gaming-Enhancing Immersive Gameplay through Customised AI-Driven Non-Player Characters (NPCs)
研究主题：通过定制人工智能驱动的非玩家角色(NPC)增强沉浸式游戏体验
# 开放世界游戏、沉浸式体验、人工智能驱动的非玩家角色(NPC)
# 机器学习、计算机视觉、自然语言处理、情感分析与玩家互动
隶属部门/导师：
Cardiff School of Computer Science & Informatics/Dr Y Qin, Dr Daniel Finnegan, & Prof Yukun Lai
申请截止时间：
Applications are accepted all year round.
资助情况说明：
This project is offered for self-funded students only, or those with their own sponsorship or scholarship award.
项目背景介绍：
Modern open world video games (OPVGs) typically contain tens if not hundreds of iNPCs with their behaviours driven by algorithms drawing from the fields of cognitive science, HCI, and AI. Recent advances in large language models (LLMs) have seen them delivering state-of-the-art performance in task planning using natural languages: this research project aims to explore LLMs in the context of OPVGs to create highly realistic, intelligent, and engaging NPCs that dynamically adapt to player behaviour. Research Aims include: To develop an AI framework for customizable NPCs by understanding player preferences and designing tailored NPCs for individual styles. To enhance NPC intelligence and responsiveness using advanced LLMs, reinforcement learning, and computer vision techniques. To enable deep player-NPC interaction and emotional connections through sentiment analysis, expressive animations, and social behaviour modelling.
利物浦大学
University of Liverpool
PhD Scholarship-Landscape of Post-War Reservoirs: Environment, Conservation and Perception
研究主题：战后水库景观的环境、保护和感知
# 水利基础设施的景观设计、历史与政策、有形与无形遗产的保护
# 地理信息系统、景观感知与视觉评价
隶属部门/导师：
申请截止时间：
19 February, 2024
资助情况说明：
Funded studentship-AHRC NWCDTP Team based project together with Universities of Lancaster and Manchester Metropolitan, Historic England, and the Museum of English Rural Life.
项目背景介绍：
This Collaborative Doctoral Award is part of an AHRC NWCDTP funded team project, titled ‘Waterborne: The heritage, culture and environment of UK reservoirs’, a collaboration between the Universities of Liverpool, Lancaster, and Manchester Metropolitan. Using traditional historical means alongside critical creative methods, the team project will research the design, literary history, and heritage of reservoir building in the UK. Three distinct, but interlinked projects will create a rich understanding of the interrelations between design, policy, community memory, and the tangible and intangible heritage of water infrastructure. Building on the rich archival materials at the MERL, the project will interrogate how perceptions of landscape and countryside manifested in the landscape architectural designs of reservoirs, how they were affected by the changing socio-political context of the British Welfare State, and their impact on heritage policy and community use today.
该团队项目希望通过研究英国水库建筑的设计、文学史和遗产，来加深人们对水利基础设施的设计、政策、社区记忆以及有形和无形遗产之间相互关系的理解。另外，该项目以英国乡村生活博物馆 MERL 的档案材料为基础，结合地理信息系统和其他视觉研究方法等，也将探讨水库景观所受到的社会政治背景影响，以及它们对当下遗产政策和社区使用的影响。
项目导师Prof Luca Csepely-Knorr & Prof Richard Brook的官方介绍和过往研究成果
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