全奖 | 海外全奖博士招生信息汇总·第51期：港理工、UBC、伯明翰、UZH等
编者按
申请欧洲读博通常需要硕士学位，一般不需要GRE也无需当地语言，考一个雅思|托福成绩即可申请，套磁是申请的关键。欧洲岗位制的博士职位，一般全年滚动开放，因此需时刻关注。
欧洲因其高福利著称，读博也不例外，如果可以拿到工作合同，工资按当地等级标准有所不同，通常享受30天带薪年假以及医疗保险，读博工资在当地已属于中产，例如德国博士年薪40w人民币，瑞士高达50w人民币，并享受一切相关福利，毕业后申请当地永居或移民，相比美国也简单很多。
例如我在德国拿到博士学位后工作半年，即具备申请德国永居的资格。
教育|普通家庭十年留学史：飞跃美德全奖读博，最终成德国打工人
以下是1月下旬的全球算法博士职位信息，大家注意deadline！有任何申请需求欢迎通过下图私信【DIY飞跃计划】的客服小姐姐哦~
目录 Catalogue
1. 香港理工大学陶肖明教授课题组招聘研究助理/博士研究生
2. 加拿大英属哥伦比亚大学(UBC) 招收硕士、博士
3. 伦敦大学城市学院博士奖学金项目招生
4. 无德语要求！无英语要求！无GPA要求！德国莱布尼茨分析科学研究所招聘博士，博士后
5. 哥本哈根大学博士奖学金项目招生，本科\硕士都可投！
6. 英国伯明翰大学提供全额资助的博士职位
7. 瑞士苏黎世大学提供两个博士职位
01
香港理工大学陶肖明教授课题组招聘研究助理/博士研究生
职位信息：
香港理工大学陶肖明教授课题组招聘研究助理/博士研究生
网址:
https://www.polyu.edu.hk/riiwear/ https://www.polyu.edu.hk/itc/itcproftao/
项目：可穿戴能源电子设备集成管理系统的研究
招聘职位：研究助理/博士研究生
职责：协助项目负责人进行可穿戴能源材料系统、可穿戴能源集成技术和建立能源管理模型的探索。
要求：
如申请研究助理，申请人专业包括但不止: 材料化学、生物、电子工程或能源背景。可以简单英文交流，不需要雅思或托福。人在香港优先。
如申请博士职位，申请人专业包括但不止: 材料、化学、电子、机械工程、生物或可穿戴能源相关领域硕士及以上学历。发表过 SCI 论文，需要语言成绩
工作认真，责任心强，具有团队协作精神。
需要中英文简历，发至邮箱susie.yang@connect.polyu.hk
报酬：待遇从优，节假日多。研究助理可有机会读博士。
02
加拿大英属哥伦比亚大学(UBC) 招收硕士、博士
职位信息：
加拿大英属哥伦比亚大学（ubc）工程学院 prof. sunny li课题组招收硕士、博士研究生、联培和访问学者
research openings in our group (available and not limited to)
thermal management / enhanced heat transfer
heat transfer in boilers / waste heat recovery
multiphase flows with focus on aerosol
thermal-magnetic convection of ferrofluids
blending of hydrogen into natural gas and transmission
欢迎有相关课题经历、经验和兴趣的同学报名, csc和非csc均可，可提供全额奖学金。
ubc的入学时间，一般是1月份，5月份，9月份可以选择， 比较自由。
英语成绩：
toefl : 90 overall with a minimum score of 22 in reading & listening and a minimum score of 21 in writing & speaking.
ielts : minimum overall band score of 6.5, with no individual score less than 6.0.
欢迎英语成绩达标和即将达标者，相关方向的同学发送简历到：sunny.li@ubc.ca
李老师的实验室情况详见课题组主页：[url]https://engineering.ok.ubc.ca/about/contact/sunny-ri-li/
若有任何疑问也可私信，我将第一时间回复，欢迎。
03
伦敦大学城市学院博士奖学金项目招生
职位信息：
Cyber Security PhD in collaboration with BT Group plc
申请截止日期：2022年3月31日
Funding amount: Annual bursary (i.e. tax free) of £1750 / month for 4 years; Full tuition fee for home students
City, University of London is offering a PhD opportunity co-supervised by BT plc. APPlications are invited from exceptional candidates to pursue research in biometrics, authentication, and IoT.
What is offered：
A doctoral studentship will provide:
Annual bursary (i.e. tax free) of £1750 / month for 4 years.
Full tuition fee for home students. APPlications from international APPlicants are welcome but the annual bursary will be reduced to £1000 / month to cover the fee overseas student difference.
Project：
Continuous authentication (CA) utilises biometrics from device sensors to verify users in real-time. Behavioural biometrics, commonly used in CA, are set to see a yearly market increase of ~25% until 2027. Devices within the Internet of Things (IoT) have only recently become a focus for CA research. IoT is an area that is experiencing immense growth and little CA research has been carried out within this field and research challenges remain.
This will build continuous authentication architectures to address the nuances of IoT devices such as their low power and limited sensing capabilities. The findings would identify how users of different IoT devices could be authenticated to enhance IoT security, privacy and usability.
The candidate will explore CA techniques for the IoT. The candidate will work with their industrial partner to produce academic publications with their academic and industrial supervisors (possibly also contributing to intellectual property). The candidate will be supported by both the academic and industrial supervisor to direct the research.
The successful candidate will be required to carry out an amount of their studentship with the industrial partner, BT plc in Martlesham. This allows for close collaboration with their industrial partners. The project should ideally start by October 2022.
Desirable Traits：
The candidate should have a knowledge of the Internet of Things (IoT), biometrics, and machine learning. Strong programming skills are desirable. Candidate should also ideally have experience in research and formulating research questions.
Eligibility：
The studentships will be awarded on the basis of outstanding academic achievement and the potential to produce cutting edge-research. Prospective APPlicants must:
Hold a good honours degree (normally no less than a upper second-class honours degree or an equivalent qualification) in an APPropriate subject. Exceptionally, if the first degree is in a different subject area, we can consider APPlications from those with a good Master’s Degree in a relevant subject or extensive professional experience in the area of their proposed research;
Be able to demonstrate proficiency in the use of oral and written English;
APPlicants whose mother tongue is not English must meet any one or a combination of the following:
A minimum IELTS average score of 6.5; with a minimum of 6.0 in each of the four components
The award of a Masters’ degree, the teaching of which was in English from an English Speaking country.
How to APPly:
Please contact R.Muttukrishnan@city.ac.uk and max.smith-creasey@bt.com to express your interest with a recent CV and a research proposal within the scope of the topic.
Contacts:
Project Contacts:
Professor Muttukrishnan Rajarajan (City, University of London Supervisor) - R.Muttukrishnan@city.ac.uk
Dr Max Smith-Creasey (BT Supervisor) - max.smith-creasey@bt.com
General Enquiries:pgr.smcse.enquire@city.ac.uk
04
德国莱布尼茨分析科学研究所招聘博士，博士后
职位信息：
德国莱布尼茨分析科学研究所“人工智能生物医学图像分析实验室”招聘博士，博士后
研究机构：
莱布尼茨分析科学研究所是德国莱布尼茨学会（和亥姆霍兹协会，马普学会，弗劳恩霍夫协会并称德国四大研究协会）下属96个研究所之一，学会每年总研究经费近20亿欧元。
研究组负责人:
陈建旭，计算机博士，毕业于美国圣母大学，后就职于美国艾伦细胞科学研究所领导基于人工智能的大规模高维显微镜图像分析的算法研发与模型部署，公开发布百万量级的三维细胞显微镜图像数据库，曾发表文章在IEEE TMI，NeurIPS，AAAI，MICCAI，ISBI，BIBM，等近30篇，以及一篇Nature在审。
研究方向:
基于人工智能的高维显微镜图像分析研究，如图像分割，图像配准，高维重构，图像修复，等。主要研究对象是基于lightsheet fluorescence microscopy (LSFM) 的全器官以及全身图像的分析。除算法研发之外，会和德国国家研究数据基础设施基金会下属合作组共同推进开源图像处理工具的开发和大规模人工智能数据库的搭建。本实验室配有含40个A100 高性能GPU计算平台。
人员招聘:
博士后1名
博士1名
（注1：薪酬按照德国TV-L薪资标准，待遇远优于美国同等职位）
（注 2：无德语要求，无英语要求，无GPA要求）
申请方式:
发邮件至 jxchen.ustc@gmail.com （也可以直接微信联系陈老师本人 JCND001）。
05
哥本哈根大学博士奖学金项目招生，本科\硕士都可投！
职位信息：
PhD stipends in Statistics, and the mathematics of Insurance and Economics
申请截止日期：2022年4月1日
Department of Mathematical Sciences (MATH) invites APPlications for PhD stipends in APPlied mathematics, including statistics, the mathematics of insurance and economics, and mathematical biology.
Start date is (expected to be) in September 2022 or as soon as possible thereafter.
There will be a limited number of PhD stipends not attached to specific projects..
In addition, there will be PhD stipends available in:
actuarial science within the project frame InterAct (contact Mogens Steffensen, mogens@math.ku.dk)
Statistical genetics (contact Carsten Wiuf, wiuf@math.ku.dk)
Causality in event driven dynamical systems (contact Niels Richard Hansen, Niels.R.Hansen@math.ku.dk)
Statistical and causal methodology for complex data structures with APPlications to microbiome data analysis (contact Niklas Pfister, np@math.ku.dk)
Causality for data science (fairness, abstraction, and APPlications) (contact Sebastian Weichwald, sweichwald@math.ku.dk, or Jonas Peters, jonas.peters@math.ku.dk)
Statistical analysis of narwhal tusks, among other things to establish and test age estimation based on elemental composition in tusk layers. The project is in collaboration with Greenland Institute of Natural Resources and the PhD candidate will hold a double affiliation (contact statistician Susanne Ditlevsen, susanne@math.ku.dk, or biologist Eva Garde, evga@mail.ghsdk.dk)
You are welcome to contact any member of the department to discuss research projects.
Who are we looking for?：
We are looking for strong candidates within all fields of APPlied mathematics .
About the Department :
The department has about 50 permanent scientific staff members; around 45 PhD students and 35 postdocs. It has strong research groups in many areas of mathematics, and active PhD, postdoc, and visitor's programs. Our building is located in central Copenhagen next to the central park Fælledparken. Our website https://www.math.ku.dk/english provides more information about the department and the research conducted at the department https://www.math.ku.dk/english/research/.
You can find more information about the PhD program on the homepage https://www.math.ku.dk/english/programmes/ph.d/.
Further information about working at Copenhagen University can also be obtained from https://ism.ku.dk/.
The PhD programme:
Depending of your level of education, you can undertake the PhD programme as either:
Option A: A three year full-time study within the framework of the regular PhD programme https://science.ku.dk/phd/studystructure/regularphd/(5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree.
Option B: An up to five year full-time study programme within the framework of the integrated MSc and PhD programme https://science.ku.dk/phd/studystructure/integratedphd/ (the 3+5 scheme), if you do not have an education equivalent to a relevant Danish master´s degree – but you have an education equivalent to a Danish bachelors´s degree.
Option A: Getting into a position on the regular PhD programme
Qualifications needed for the regular programme
To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. Mathematics. For information of eligibility of completed programmes, see General assessments for specifi countries and Assessment database.
Terms of employment in the regular programme：
Employment as PhD fellow is full time and for maximum 3 years.
Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an APPlication for the specific project formulated by the APPlicant.
The terms of employment and salary are in accordance to the agreement between the Danish Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.
Option B: Getting into a position on the integrated MSc and PhD programme
Qualifications needed for the integrated MSc and PhD programme
If you do not have an education equivalent to a relevant Danish master´s degree, you might be qualified for the integrated MSc and PhD programme, if you have an education equivalent to a relevant Danish bachelor´s degree. Here you can find out, if that is relevant for you: General assessments for specific countries and Assessment database.
Terms of the integrated programme：
To be eligible for the integrated scholarship, you are (or are eligible to be) enrolled at one of the faculty’s master programmes in Mathematics.
Students on the integrated programme will enroll as PhD students simultaneously with completing their enrollment in this MSc degree programme.
The duration of the integrated programme is up to five years, and depends on the amount of credits that you have passed on your MSc programme. For further information about the study programme, please see: www.science.ku.dk/phd, “Study Structures”.
Until the MSc degree is obtained, (when exactly two years of the full 3+5 programme remains), the grant will be paid partly in the form of 48 state education grant portions (in Danish: “SU-klip”) plus salary for work (teaching, supervision etc.) totalling a workload of at least 150 working hours per year.
A PhD grant portion is currently (2022) DKK 6.397 before tax.
Salary is DKK 222.00 per working hour (+ 12.5% holiday pay).(1 October 2021 level)
When you have obtained the MSc degree, you will transfer to the salary-earning part of the scholarship for a period of two years. At that point, the terms of employment and payment will be according to the agreement between the Danish Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.
Responsibilities and tasks in both PhD programmes：
Complete and pass the MSc education in accordance with the curriculum of the MSc programme
(ONLY when you are attending the integrated MSc and PhD programme)
Carry through an independent research project under supervision
Complete PhD courses corresponding to APProx. 30 ECTS / ½ FTE
Participate in active research environments, including a stay at another research institution, preferably abroad
Teaching and knowledge dissemination activities
Write scientific papers aimed at high-impact journals
Write and defend a PhD thesis on the basis of your project
We are looking for the following qualifications:
Professional qualifications relevant to the PhD project
Relevant publications
Relevant work experience
Other relevant professional activities
Curious mind-set with a strong interest in Mathematics
Good language skills
APPlication and Assessment Procedure:
Your APPlication including all attachments must be in English and submitted electronically by clicking APPLY NOW（https://candidate.hr-manager.net/APPlicationForm/SinglePageAPPlicationForm.aspx） below.
Please include:
Motivated letter of APPlication (max. one page)
Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
Publication list (if any)
APPlication deadline:
The deadline for APPlications is Friday 1 April 2022, 23:59 GMT +2.
We reserve the right not to consider material received after the deadline, and not to consider APPlications that do not live up to the abovementioned requirements.
The further process:
After deadline, a number of APPlicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.
The assessor will assess the qualifications and experience of the shortlisted APPlicants with respect to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each APPlicant is qualified and, if so, for which of the two models. The assessed APPlicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.
Interviews with selected candidates are expected to be held in weeks 19-33, 2022.
Questions:
For specific information about the PhD fellowship, please contact the principal supervisor.
General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd/.
The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to APPly for the position.
06
英国伯明翰大学提供全额资助的博士职位
职位信息：
PhD Studentship in Self-Learning Robotics
申请截止日期：2022年11月24日
Project Details：
EPSRC project: Self-learning robotics for industrial contact-rich tasks (ATARI): enabling smart learning in automated disassembly
Disassembly is an essential operation in many industrial activities including repair, remanufacturing and recycling. Disassembly tends to be manually carried out - it is labour intensive and usually inefficient.
Disassembly requires high-level dexterity in manipulations and thereby can be more difficult to robotise in comparison to the tasks that have no physical contacts (e.g. computer visual inspection) or simple contacts (e.g. cutting, welding, pick-and-place). Robotic disassembly has the potential to improve the productivity of repair, remanufacturing, recycling, all of which have been recognised as key components of a more circular economy.
The existing procedure and state-of-the-art techniques for disassembly automation usually require a comprehensive analysis of a disassembly task, correct design of sensing and compliance facilities, efficient task plans, and a reliable system integration. It is usually a complex, expensive and time-consuming process to implement a robotic disassembly system.
This project will develop a self-learning mechanism to allow robots to learn disassembly tasks and the respective control strategies autonomously, by combining multidimensional sensing and machine learning techniques. This capability will help build a more plug-and-play disassembly automation system, and reduce the technical difficulties and the implementation costs of disassembly automation.
It is expected the next generation industrial robotics can be adopted in more complex and uncertain tasks such as maintenance, cleaning, repair, remanufacturing and recycling, where many processes are contact-rich. Disassembly is a typical contact-rich task. It is envisaged that self-learning robotic disassembly will provide key understandings and technologies that can be adopted to the automation of other types of contact-rich tasks in the future to encourage a wider adoption of robots in the UK industry.
Additional Funding Information：
A fully funded (stipend+fees) PhD studentship is available for UK home students. Overseas students may APPly, but would need to make up the difference. The project will be held at Dr Yongjing Wang’s group in the School of Engineering at the University of Birmingham.
The candidate will have at least a 2:1 class degree in Mechatronics, Mechanical Engineering, Electronic Engineering or Robotics or other relevant discipline.
For more information or informal enquiries, please contact Dr Yongjing Wang at y.wang@bham.ac.uk.
07
瑞士苏黎世大学提供两个博士职位
职位信息：
Two PhD positions 70 %
申请截止日期：2022年4月1日
Project Details:
The department of Social and Economic Psychology at the Institute of Psychology invites APPlications for two PhD positions (each 70%).
Our lab investigates human cooperation and how social norms develop and influence decision making in groups. To that end, we combine interactive group experiments, computer simulations, and formal mathematical models. Ultimately, our research is aimed at a better understanding of (1) how groups can overcome social dilemmas (think of the Prisoner's Dilemma or the Public Goods problem), (2) how individuals develop relationships based on trust, reciprocity, and cooperation, (3) how inequality influences group relations, (4) how norms (also anti-social norms, such as dishonesty) develop in groups, and (5) what makes intergroup relations turn hostile or cooperative.
Our research combines perspectives from social psychology, behavioral economics, and theoretical biology. While based on theoretical and abstract models of human decision making, the questions you will address in your PhD also speak to real-world challenges that societies face, such as climate change, political polarization, or the social dilemma that arises with pandemics like COVID-19.
To get an idea of the research questions you would be involved in, please have a look at the following publications:
Gross, J., & Böhm, R. (2020). Voluntary restrictions on self-reliance increase cooperation and mitigate wealth inequality. Proceedings of the National Academy of Sciences, 117(46), 29202–29211. https://doi.org/10.1073/pnas.2013744117
Gross, J., & De Dreu, C. K. W. (2019). The rise and fall of cooperation through reputation and group polarization. Nature Communications, 10(1), 776. https://doi.org/10.1038/s41467-019-08727-8
Gross, J., Leib, M., Offerman, T., & Shalvi, S. (2018). Ethical free riding: When honest people find dishonest partners. Psychological Science, 29(12), 1956–1968. https://doi.org/10.1177/0956797618796480
In your PhD project you will perform and analyze your own lab-experiments using economic games in which participants make decision in groups and/or design and analyze computer simulations to investigate group dynamics. You will also have the opportunity to develop your own research questions in the outlined areas, and take part in shaping our newly established research group, working in a young team of researchers. An exemplary PhD project could be to examine how contact and interdependent relationships between groups can create cooperation that is not only group-based but also beneficial for the common good of all.
We are looking for candidates that are passionate about investigating social group dynamics and the psychology of human cooperation and conflict from a cross-scientific perspective.
Your responsibilities:
Developing and conducting your own PhD project in close collaboration with the chair and your colleagues
Conceptualizing, programming, and conducting own experiments, analyzing data, writing and publishing manuscripts in disciplinary and interdisciplinary international, peer-reviewed journals, and presenting your research on national and international conferences (e.g., the International Conference on Social Dilemmas; ICSD)
Contribution to teaching in the Psychology BA- and MA-program (with your own seminar on the bachelor or master-level on a topic related to social, organizational, and economic Psychology)
Supervision of thematically fitting bachelor and master theses
Your profile:
Master degree in psychology, economics, or related fields (such as, but not limited to, cognitive sciences, computer science, mathematics)
Passion for understanding the "puzzle of human cooperation"
You enjoy (and are persistent in) problem solving and working with complex data
Ability to work independently but also in a team
Basic knowledge of social dilemmas, economic games, and game theory is also helpful
Prior experience in investigating group dynamics experimentally (or theoretically) is desirable
Very good statistical and methodological knowledge (e.g., prior knowledge about hierarchical/multilevel regression analysis is helpful)
Programming skills (R, MatLab, Python/oTree) are desirable
Excellent verbal and written English skills
What we offer:
You will have the unique opportunity to engage in a societally relevant, theoretically important, and challenging research project to advance our understanding of human cooperation. Also, this project will allow you to earn your PhD (Dr. phil.) at the renowned University of Zurich.
We offer a dynamic, collaborative, and interdisciplinary research environment with plenty of opportunities to develop your academic career – as such, you will be part of a newly established research group at the Professorship of Social and Economic Psychology, working in close collaboration with the chair and a young team of researchers. In addition, you will have diverse opportunities for networking with international and interdisciplinary researchers, as well as generous support for professional travel and research needs. Furthermore, the doctoral program of the University of Zurich's Department of Psychology will allow you to develop and strengthen your research skills.
The University of Zurich is one of Switzerland's leading research universities with excellent working conditions, competitive salary, and generous social benefits. Conditional on APProval of the PhD proposal by the end of the first year, funding is guaranteed for four years total.
Start of employment:
Employment start date is August 1st, 2022 or by agreement.
APPlications will be considered until both positions are filled. Ideally submit your APPlication before April 1st, 2022. Please enclose the following documents to your APPlication:
CV
Statement describing your motivation, personal qualifications, and research interests (max. 2 pages)
Grade lists
Master thesis (if not yet available, please send us a seminar paper that illustrates your scientific writing)
If available, publications
Further desirable are two independent reference letters that should be submitted directly by the person that wrote the reference via e-mail to Prof. Dr. Jörg Gross.
Please send your own APPlication materials in one single PDF-file with the subject "PhD position - your First Name Second Name".（https://ohws.prospective.ch/public/v1/APPlication/13f13add-5ab7-47ec-bed5-3ac774830013?lang=en）
In case of any questions, please feel free to reach out to Prof. Dr. Jörg Gross.
We look forward to your APPlication.
关注公众号
后台回复“硕士申请” 或 “博士申请”
加入【欧洲】【英国】【德国】【北欧】【北美】【亚洲】【CSC】等硕士、博士申请交流群
