英语怎么才能进欧联杯(博士申请 | 海外全奖博士招生信息盘点（11.30）)

目录 Catalogue

1. 英国爱丁堡大学秦宸博士(助理教授)招收PhD

2. 伦敦玛丽女王大学（QMUL）Yuanwei Liu老师招收博士生

3. 澳大利亚新南威尔士大学Prof. Ewa Goldys课题组招收博士研究生

4. 慕尼黑工业大学提供 Linde/MDSI 博士奖学金

5. 香港城市大学CityU联培PhD学位项目 机器学习/数据挖掘/AI方向

6. 挪威科技大学SWELL博士奖学金职位空缺

7. 瑞士洛桑大学经济学博士职位空缺

01

英国爱丁堡大学秦宸博士(助理教授)招收PhD

职位信息：

英国爱丁堡大学(QS世界排名16)电子电气工程系秦宸博士(助理教授)招收PhD students in machine learning and healthcare新加坡南洋理工大学EEE和MSE双聘教授严威博士诚招博士生和博后

* Departmental funded PhD studentship: eng.ed.ac.uk/studying/postgraduate/research/study-phd/

(Trustworthy machine learning for MRI reconstruction)

Looking for candidates to fill in ASAP.

* Funded advanced care (ACRC) program: ed.ac.uk/usher/advanced-care-research-centre/academy/phd-studentships

(Explainable machine learning for risk prediction in later life care)

First round deadline: 26 Nov 2021

* Funded BioMedAI CDT: web.inf.ed.ac.uk/cdt/biomedical-ai

Deadline: 14 Jan 2022

欢迎感兴趣的同学联系Dr Chen Qin: Chen.Qin@ed.ac.uk

个人主页: sites.google/view/chen-qin

实验室主页: vios.science

02

伦敦玛丽女王大学（QMUL）Yuanwei Liu老师招收博士生

职位信息：

伦敦玛丽女王大学（QMUL）Yuanwei Liu老师招收通信计算机博士生

研究方向：联邦学习/强化学习/深度学习/迁移学习, 6G智能通信，可重构智能表面（RIS/IRS），无人机通信，通信感知一体化 （ISaC），感知与视觉（computer vision）融合等.

招生专业：Electronic Engineering and Computer Science

入学时间：2022年秋季

地理位置：英国London

导师介绍：

Yuanwei Liu老师为QMUL通信计算机科学(EECS)的副教授（Associate Professor）， director of (Artificial Intelligence and Big Data Enhanced Communication) ABC@QM 实验室， 2021全球高被引科学家 (Clarivate Highly Cited Researcher)， IEEE 高级会员, 获2020 IEEE ComSoc EMEA杰出研究员奖, 2020 IEEE 信号处理协会（SPCC）早期杰出成就奖，2021 IEEE 通信理论技术协会（CTTC）早期杰出成就奖，入选斯坦福大学公布的世界Top 2% 科学家名单（2020，2021）。

Yuanwei Liu任通信顶级期刊IEEE Communication Letter高级编委（Senior Editor），IEEE TWC和IEEE TCOM的编委，IEEE JSAC，IEEE JSTSP的客座编辑，IEEE VTC 2019的联合宣传主席（Publicity Co-Chair），IEEE GLOBECOM 2022联合分会主席，为多个IEEE workshop和IEEE会议的session Chair。Yuanwei Liu已发表IEEE期刊会议论文200余篇，包括130 IEEE期刊论文 （Proceeding of the IEEE, IEEE JSAC, etc），一本专著和3个专著章节。他受邀做过60多个国际学术报告及tutorial（详见其个人主页）。9700 的GS引用率（h-index 45）。主持学术/工业项目累计超过100万英镑。

刘老师作为老北邮人，会亲自指导学生，学生成果显著。其团队博后，博士生及联合培养博士生来自北大，北邮，北交，帝国理工，新加坡南洋理工等国内外知名院校，具体见其个人主页如下。eecs.qmul.ac.uk/~yuanwei

院校背景：

QMUL为罗素盟校，是一所研究型大学（EECS 方向REF排名全英第七），拥有9位诺贝尔奖获得者。

联系方式：

有意者可邮件联系！

邮箱: yuanwei.liu@qmul.ac.uk

以下为Prof. Yuanwei Liu文章中的摘出的英文bio

Bio: Yuanwei Liu (S’13–M’16–SM’19, eecs.qmul.ac.uk/~yuanwei) received the B.S. and M.S. degrees from the Beijing University of Posts and Telecommunications in 2011 and 2014, respectively, and the PhD degree in electrical engineering from the Queen Mary University of London, U.K., in 2016. He was with the Department of Informatics, King’s College London, from 2016 to 2017, where he was a Post-Doctoral Research Fellow. He has been a Senior Lecturer (Associate Professor) with the School of Electronic Engineering and Computer Science, Queen Mary University of London, since Aug. 2021, where he was a Lecturer (Assistant Professor) from 2017 to 2021. His research interests include non-orthogonal multiple access, 5G/6G networks, machine learning, and stochastic geometry.

Yuanwei Liu is listed as a Highly Cited Researcher by Clarivate in 2021. He received IEEE ComSoc Outstanding Young Researcher Award for EMEA in 2020. He received the 2020 Early Achievement Award of the IEEE Signal Processing and Computing for Communications (SPCC) Technical Committee,2021 Early Achievement Award of IEEE Communication Theory Technical Committee. He received the Exemplary Reviewer Certificate of IEEE Wireless Communications Letters in 2015, IEEE Transactions on Communications in 2016 and 2017, and IEEE Transactions on Wireless Communications in 2017 and 2018. Yuanwei Liu is currently a Senior Editor of IEEE Communications Letters, an Editor of the IEEE Transactions on Wireless Communications and the IEEE Transactions on Communications. He serves as the leading Guest Editor for IEEE JSAC special issue on Next Generation Multiple Access, a Guest Editor for IEEE JSTSP special issue on Signal Processing Advances for Non-Orthogonal Multiple Access in Next Generation Wireless Networks. He has served as the Publicity Co-Chair for VTC 2019-Fall. He is the leading contributor for “Best Readings for Non-Orthogonal Multiple Access (NOMA)” and the primary contributor for “Best Readings for Reconfigurable Intelligent Surfaces (RIS)”. He serves as the chair of Special Interest Group (SIG) in SPCC Technical Committee on the topic of signal processing Techniques for next generation multiple access (NGMA), the vice-chair of SIG Wireless Communications Technical Committee (WTC) on the topic of Reconfigurable Intelligent Surfaces for Smart Radio Environments (RISE), and the Tutorials and Invited Presentations Officer for Reconfigurable Intelligent Surfaces Emerging Technology Initiative.

03

澳大利亚新南威尔士大学Prof. Ewa Goldys课题组招收博士研究生

职位信息：

澳大利亚新南威尔士大学Prof. Ewa Goldys课题组招收博士研究生

课题组简介：

Prof. Ewa Goldys 课题组致力于研究bioinformatics and biosensor for precision diagnosis and nanomaterials for cancer therapy. Prof. Ewa Goldys 是澳大利亚工程院院士，澳大利亚纳米生物光子学中心副主任。具体信息请查看课题组网页：nanobiophotounsw.wordpress

澳大利亚纳米生物光子学中心(cnbp.au/)专注于研究新型传感和成像工具并应用于生物检测分析。中心于2014年由澳大利亚政府斥资三千八百万澳币建立，由麦考瑞大学，阿德莱德大学，RMIT大学，新南威尔士大学和格里菲斯大学组成。

新南威尔士大学（University of New South Wales）2021年全球QS排名43。新南威尔士大学在2020年自然指数 (nature index) 中名列澳大利亚大学之首，使其成为澳大利亚科学研究水平最高的大学。新南威尔士大学工程学院由于其在基础和应用研究方面的卓越表现获得5星QS排名，被评为澳大利亚顶级化学工程学院之一。

博士奖学金：

新南威尔士大学提供3类博士奖学金：

1、国际学生全额奖学金 (根据申请人资质有不同选择)，向已毕业或即将毕业的硕士研究生开放申请；

2、联合培养全额奖学金，向已就读的低年级博士研究生开放申请；

3、与国家留学基金委CSC共建全额奖学金，向高年级硕士研究生开放申请。

申请条件：

1. 相关专业：Biomedical Engineering, Biomaterials, Biochemistry, Microbiology, Molecule Biology. 优先考虑具有protein expression/purification, biosensor development (fluorescent biosensor, electrochemical biosensor etc.) 经验的申请人。

2. 博士课题将以CRISPR/Cas-based biosensing, pathogen detection (COVID-19) 为主（具体方向待定）。

3. 申请流程，日期及语言要求详见 research.unsw.edu.au/submit-application

申请方式：

请以“PhD application -(申请人姓名)”为题，将以下材料发送给Dr. Li: yi.li6@unsw.edu.au, or Dr. Deng: fei.deng@unsw.edu.au.

a) 个人简历，包含发表科研论文清单；

b) 本科和研究生成绩单；

c) 雅思（或托福，PTE）成绩单 (可面试后提供)。

我们对申请人的个人信息严格保密。通过筛选的申请人，我们会通知安排视频面试（英语）。通过面试后，如已经在澳洲境内，可提供Research Assistant 职位在博士入学前提前进入课题组学习。

此招生广告长期有效。

04

慕尼黑工业大学提供 Linde/MDSI 博士奖学金

职位信息：

Linde/MDSI PhD Fellowships

申请截止日期：2022年1月9日

All Linde/MDSI PhD Fellows across different disciplines will become an essential part of MDSI's thriving and dynamic research atmosphere. They will participate in the specially tailored MDSI qualification program. Furthermore, they will be co-located at the facilities of the institute as needed. Collaboration and interaction with fellows and faculty from other areas of research is highly supported.

Applications are welcome in：

All areas of data science and machine learning, their mathematical foundations, and their application in the various scientific fields represented at TUM.

Your motivation letter should outline your interest for the PhD thesis and connection to the above research areas (i.e. contain a research plan). Please also elaborate on the research groups with which you see a fit and in particular on the group that you would like to host you for the PhD at TUM. In addition, please name your potential thesis supervisor. Eligible as supervisor are all professors at TUM (professoren.tum.de/en/; also see Regulations on the Awarding of Doctoral Degrees at TUM) including TUM Junior Fellows (professoren.tum.de/en/tum-junior-fellows) with a thematic fit to the general areas described above.

Eligibility：

• Excellent master's degree (or equivalent)* in computer science, mathematics, engineering, natural sciences or other data science related social disciplines.
• General admission requirements for a doctorate at TUM are met as defined here: gs.tum.de/en/applicants/application/.
• Membership in the TUM Graduate School (as per supervision agreement) cannot have started before 09 January, 2022.

Applications：

Please provide the following documents:

• CV including a list of publications and awards (if applicable).
• Scanned transcripts of certificates (bachelor's degree, master's degree including transcript of records, other degrees or awards).
• Motivation letter as described above (max. 3000 characters).
• Names and addresses of two references who can provide letters of recommendation. Please inform the reference persons listed to send the letters of recommendation directly to the MDSI before the call closes (to application@mdsi.tum.de, e-mail subject: Letter of recommendation -).
• Support letter of the chair who is willing to act as a host (see attached). In this letter, the host agrees to supply one half of the PhD funds.

Please submit your application as one pdf file to the following e-mail address: application@mdsi.tum.de (e-mail subject: Application PhD fellowship -), application deadline is 09 January, 2022. Notification about the results is planned for March, 2022.

Successful applicants will be hired in line with the current German collective pay agreement, up to TV-L E13. The fellowship period will have a maximum duration of three years. Applications from disabled persons with essentially the same qualifications will be given preference. TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women.

As part of your application for a position at the Technical University of Munich (TUM), you are transmitting personal data. Please note our data protection information in accordance to Art. 13 General Data Protection Regulation (GDPR) for the collection and processing of personal data in the context of your application. By submitting your application, you confirm that you have taken note of TUM's data protection information (portal.mytum.de/kompass/datenschutz/Bewerbung/#English).

*If you are still studying for your master's degree you may send a bona fide statement from the university, stating the examination marks already obtained. In addition, you will have to finish your master's studies before starting the PhD, i.e. no later than June, 2022.

05

港城大CityU联培PhD学位项目 机器学习/数据挖掘/交叉学科

职位信息：

港城大CityU联培PhD学位项目 机器学习/数据挖掘/交叉学科 (双一流A类 国科大 南科大)

学校介绍：

香港城市大学是一所坐落于香港九龙塘的公立研究型大学。2022年qs世界大学排名第53名，qs建校未满50年最佳大学第4名，aruw工程/技术/计算机科学香港地区第1名，泰晤士全球最国际化大学第1名。校园地处九龙塘商业区，港铁九龙塘站，背靠狮子山，眺望九龙半岛和维多利亚港。

导师介绍：

赵翔宇是香港城市大学（cityu）数据科学学院助理教授、博导。个人主页：zhaoxyai.github.io/

他目前的研究方向为数据挖掘、机器学习、深度学习及其在推荐系统（信息检索，计算广告及搜索引擎），城市计算（智慧城市和时空数据），社交网络，金融，教育，能源，健康医疗等领域的应用，以及理论强化学习/自动机器学习/多模态学习等。他在计算机顶级会议kdd、www、aaai、sigir、icde等发表论文30余篇。曾获ccf-腾讯犀牛鸟基金，ai华人新星百强，bytedance研究奖，criteo研究奖等奖项。他多次担任顶级会议kdd、www、sigir、ijcai中研讨会和教学讲座的组织者和演讲者，获得广泛关注和好评。博士期间曾在多家中美互联网企业从事研究工作，他的算法模型在多家公司上线，并保持紧密合作关系。

招生简介：

双一流a类 国科大 南科大 准备读博/转博/博一二学生：欢迎申请cityu联合培养博士项目，可以同时获得cityu博士学位，是留学基金委认可的海外学位，享受留学生各类福利，如人才引进政策等。学生无需支付任何费用，在cityu期间每月获发奖学金17500 港币。请于2021年12月17日之前向所在学校提交申请，需要英语成绩托福79或雅思6.5，可在2022年2月补交英语成绩。

投递邮箱：xy.zhao@cityu.edu.hk

另外，计划招收多名2022年秋季入学全奖博士生。要求本科或硕士为理工科专业，有较强的数学和编程能力，发表过优秀论文的同学优先考虑。详见：zhaoxyai.github.io/openings.html

06

挪威科技大学SWELL博士奖学金职位空缺

职位信息：

PhD Candidate in Interaction Design and Built Environments

申请截止日期：2022 年1月1日

About the position：

We have a vacancy for a PhD fellowship in Interaction Design, the goal is a completed doctoral education up to an obtained doctoral degree.

The position is one of the four PhD fellowships belonging to a university-wide project called SWELL (Sustainable Built Environments for better Health and WELL-being). SWELL’s goal is to address the complex interaction between individual Humans’ HWB (health wellbeing) and the Built Environment (BE). Through new theoretical and empirical foundations by exploring and improving sustainable and adaptable BE (e.g. through technological and space innovations), this project will provide knowledge that allows for better HWB for individuals and societies. Interdisciplinary, cross-professional and multi-sector collaboration and Urban Living Labs (ULL) methodology will be employed as powerful vehicles for achieving greater social and economic goals.

This particular PhD fellowship will focus on Empowering Human-BE Interaction Working Package (WP). This research aims to leverage advancements in sensing and ubiquitous systems to address how physical, spatial, and social design opportunities (e.g., through interactive functionalities and visualizations) can contribute to increasing liveability in BE and environmental, economic and social benefits. The implementation of this WP includes collecting requirements from the stakeholders on what interactions need to be strengthened, integrating the extracted requirements into services, prototyping the necessary interfaces/software, and iteratively testing via case studies. The development of these components entails careful consideration and interdisciplinary work (collaboration with the other 3 PhD fellowships and teams from the healthcare and urban design domains), on how the requirements, design insights and capabilities (e.g., visualizations, gamification) will be incorporated.

You will report to Heri Ramampiaro.

ntnu.no/

07

瑞士洛桑大学经济学博士职位空缺

职位信息：

PhD positions in economics, HEC, University of Lausanne, Lausanne, Switzerland

申请截止日期：2022年1月31日

Project description：

As the academic home of some of the most eminent economists of the last two centuries such as Léon Walras and Vilfredo Pareto, the University of Lausanne has a distinguished history of scholarship in economics and aspires to remain a leading center for economic research and learning. The aim of our PhD program in Economics is to attract excellent students with a Master degree in economics or a related field and help them to develop their potential to become independent economists who thrive in the academic, public and private sector. Many of our PhD students succeeded at publishing their research in leading international peer-reviewed journals. Moreover, many of our alumni work at highly regarded organizations in the academic, public, and private sector. Examples of recent placements comprise the Universities of Essex, Vienna, and St. Gallen, the European Central Bank, the Swiss National Bank, the federal and cantonal administrations, and various multinational corporations such as Crédit Suisse, Nestlé and KPMG.

We are currently looking for prospective PhD students in all fields to start their PhD in Economics at HEC Lausanne in the Fall Semester of 2022. Excellent students with a Master degree in economics or a related field with strong research interests in any area of economics are welcome to apply. We encourage any student interested in pursuing a PhD in Economics at HEC Lausanne to consult the department website for the research interests of our current faculty. Prospective PhD students with research interests in the following fields, and who would like to collaborate with the below-mentioned colleagues, are especially encouraged to apply:

• Behavioral and experimental economics (Prof. Hakimov, Prof. Santos Pinto)
• Game theory (Prof. Klaus, Prof. Montez)
• Industrial organization (Prof. Montez)
• International macroeconomics (Prof. Bacchetta, Prof. Benhima)
• Labor and education (Prof. Terrier)
• Market design (Prof. Hakimov, Prof. Klaus)
• Microeconomic theory (Prof. Klaus, Prof. Santos Pinto)
• Quantitative models of trade, migration and conflict (Prof. Thoenig)

We also especially welcome applications of women and minority students. All PhD candidates receive competitive salaries of more than CHF 50,000 per year through appointments as teaching and research assistants.

You will find more information about our PhD program in economics here as well as about our department here .

The deadline for application is January 31st 2022. Applications must include a current CV, a brief statement of purpose, complete Bachelor and Master transcripts of grades, GRE results (GRE general test) and a tentative research proposal (3-4 pages long, on a topic of potential research interest). Only applications submitted electronically through the application website（euraxess.ec.europa.eu/jobs/710903） will be considered for admission.