萨里大学（University of Surrey）是英国百年名校，著名的公立综合研究型大学，位于英格兰萨里郡吉尔福德（Guildford）。萨里大学成立于1891年，其前身为伦敦的巴特西理工学院。在1966年9月9日被皇家许可而成为综合性大学。萨里大学是世界著名的人工智能、移动通信和卫星空间技术研究中心，也是英国大学中自1497年以来拥有英国皇室颁发的电子工程皇家教授席位（Regius Professor of Electronic Engineering）的大学。萨里大学位居2022THE世界大学排名第201-250名，2024QS世界大学排名第224名，2021软科世界大学学术排名301-400名。


正在招聘两个博士生，提供全额奖学金。研究方向为声音的机器感知和再现，跟丹麦的B&O公司合作，有实习的机会。欢迎转发给感兴趣的学生。


项目一: The University of Surrey is offering a fully funded PhD studentship on the topic of Deep Learning for Audio-Visual Scene Analysis, with industrial partner Bang & Olufsen. 

萨里大学正在与行业合作伙伴Bang&Olufsen合作，提供一个全额资助的博士生课程，主题是视听场景分析的深度学习。

This project aims to develop new deep learning methods for audio-visual scene analysis in a smart home environment. This will involve the use of heterogeneous sensors, e.g. microphones and cameras, for analysing various sources and events present in the acoustic environment. Tasks to be considered include audio-visual source separation, localization/tracking, and audio-visual event detection/recognition. 

该项目旨在开发新的深度学习方法，用于智能家居环境中的视听场景分析。这将涉及使用异构传感器，例如麦克风和相机，用于分析声学环境中存在的各种源和事件。要考虑的任务包括视听源分离、定位/跟踪以及视听事件检测/识别。


项目二: The University of Surrey is offering a fully funded PhD studentship on the topic of Audio/acoustics machine learning for intelligent sound reproduction, with industrial partner Bang & Olufsen. 

萨里大学与工业合作伙伴Bang&Olufsen合作，提供一个全额资助的博士生课程，主题是用于智能声音再现的音频/声学机器学习。 

Nowadays it is commonplace for AI systems to recommend “what” media content users may choose to consume, yet typical audio reproduction systems cannot readily adapt “how” they present the experience. This technical project designs the affordances of an advanced spatial audio system with awareness of the user's intentions, choices and environment in order to adapt the sound reproduction intelligently. The engineering challenges are to provide users with the controls they would like to have in order to adjust the behaviour of their audio system, for example, boosting the bass response interacting with the room to provide greater envelopment or utilising the spatial extent of a highly-capable immersive reproduction system to render the content more intelligibly. 

如今，人工智能系统推荐用户可以选择消费的“什么”媒体内容是很常见的，但典型的音频再现系统无法很容易地适应他们呈现体验的“方式”。该技术项目设计了先进的空间音频系统的可供性，并意识到用户的意图、选择和环境，以便智能地适应声音再现。工程上的挑战是为用户提供他们想要的控制，以便调整他们的音频系统的行为，例如，增强与房间交互的低音响应，以提供更大的包围力，或者利用高性能沉浸式再现系统的空间范围，使内容更清晰易懂。


指导老师:

Successful candidates will be supervised by Professor Wenwu Wang and Professor Philip Jackson in the Centre for Vision, Speech and Signal Processing (CVSSP) and Surrey Institute for People Centred Artificial Intelligence, at the University of Surrey.  The PhD student will be based at the CVSSP. They will benefit from resources from CVSSP, the Surrey Institute for People-Centred AI, and potential secondment opportunities at Bang & Olufsen. 

成功的候选人将由萨里大学视觉、语音和信号处理中心（CVSSP）和萨里以人为本的人工智能研究所的王文武教授和菲利普·杰克逊教授指导。博士生将在CVSSP工作。他们将受益于CVSSP、萨里以人为本的人工智能研究所的资源，以及Bang&Olufsen的潜在借调机会。


提供全额奖学金:

Funding 

Full UK/EU/International tuition fees covered for 3 years. Stipend at £18,622 p.a. (2024/25) for 3 years initially, and can be extended for up to 6 months. International students are also welcomed to apply. For exceptional international candidates, there is the possibility of obtaining a scholarship to cover overseas fees.

全额英国/欧盟/国际学费3年。津贴最初为每年18622英镑（2024/25年），为期3年，最多可延长6个月。也欢迎国际学生申请。对于特殊的国际候选人，有可能获得奖学金来支付海外费用。


需要条件:

All applicants should have (or expect to obtain) a first-class degree in a numerate discipline (mathematics, science or engineering) or MSc with Distinction (or 70% average) and a strong interest in pursuing research in this field. Additional experience which is relevant to the area of research is also advantageous.

所有申请人都应拥有（或有望获得）数学、科学或工程学科的一级学位或理科硕士学位，成绩优异（或平均70%），并对从事该领域的研究有浓厚兴趣。与研究领域相关的额外经验也是有利的。


联系方式: w.wang@surrey.ac.uk 

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