全奖｜海外全奖博士招生信息汇总·第68期：南洋理工、慕尼黑工业大学、帝国理工等
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。
飞跃计划每周都会为大家整理最新海外博士招生和奖学金介绍，大家快快看看有没有合适自己的项目吧！欢迎大家持续关注~
目录 Catalogue
1. 新加坡南洋理工大学招收全奖博士生
2.德国慕尼黑工业大学博士招生
3. 英国伦敦帝国理工学院招聘RA
4. 芬兰赫尔辛基大学招收全奖博士生
01
新加坡南洋理工大学招收全奖博士生
职位信息
新加坡南洋理工大学Prof Kwan W. Tan团队现招聘博士生，主要从事材料科学、材料化学、聚合物化学等领域研究工作，预计2023年春季入学，还有博后申请机会。
About the position
Asst Prof Kwan W. Tan’s group is seeking for ONE PhD candidate with FULL scholarship for the Spring 2023 semester intake as well as postdoctoral research fellows. His group works in the areas of materials science, materials chemistry, polymer chemistry. Interested candidates please email to kwtan@ntu.edu.sg.
Scholarship Stipend:
https://www.ntu.edu.sg/admissions/graduate/financialmatters/scholarships/rss#Content_C006_Col00◦
Postdoctoral Research Fellow Directions:
Research directions: Polymer chemistry, Hierarchical porous structures, Carbon dioxide capture and catalysis, Electrocatalysts, PEM Fuel Cells, Rapid thermal annealing
Admission requirements
PhD Admission Requirements:
https://www.ntu.edu.sg/mse/admissions/programmes/graduate-programmes/detail/mse-doctor-of-philosophy-(phd)#admission
◦ Applicants from universities in China must have an average grade of 80 or above for the relevant Bachelor’s degree.
◦ GRE requirements (validity of 5 years from date of application):
Minimum GRE Verbal Reasoning Measure (V) and Quantitative Reasoning Measure (Q) scores must be equivalent to or more than 149 for each category. Applicants with total GRE scores (V + Q) equivalent to or more than 319 are strongly encouraged to apply.
◦ TOEFL requirements (validity of 2 years from date of application):
Minimum TOEFL score must be equivalent to or more than:
600 for paper-based test
250 for computer-based test
100 for internet-based test
◦ IELTS requirements (validity of 2 years from date of application):
Minimum IELTS score must be equivalent to or more than 6.5.
About the PI
Dr. Kwan W. Tan is an assistant professor of materials science and engineering at Nanyang Technological University (NTU). He earned his Ph.D. from Cornell University and M.Eng. from the Massachusetts Institute of Technology. His research group is exploring highly novel integrated synthesis approaches combining self-assembly with ultrafast thermal annealing (laser heating, Joule heating) to grow new functional multicomponent material structures, combinations and applications in carbon dioxide capture, catalysis and materials recycling/reuse. His work has appeared in various top journals including Science, Advanced Materials, ACS Nano and JACS. He can be reached at kwtan@ntu.edu.sg.
实验室主页（疏于更新，想了解更多，请邮件联系）：
https://personal.ntu.edu.sg/kwtan/
https://dr.ntu.edu.sg/cris/rp/rp00165
02
德国慕尼黑工业大学博士招生
职位信息
德国慕尼黑工业大学EDA中心现有2个博士职位可申请，研究方向为神经网络、神经网络硬件加速设计、神经网络和机器学习在电路设计(EDA)中的应用等，薪资待遇好。
招聘简介
德国慕尼黑工业大学EDA中心(https://www.ei.tum.de/en/eda/home/)招收两名硕士毕业生(已经毕业或者2022年底前毕业)攻读博士。
研究方向为神经网络，神经网络硬件加速设计，神经网络和机器学习在电路设计(EDA)中的应用等 (https://www.ei.tum.de/eda/forschung/neural-networks-and-accelerators/)。
招生要求为具有神经网络或者硬件电路设计方法基础。
此职位净收入约为每月2000欧元。博士研究开始时间为2022年5月- 2022年12月中任何一个月。
导师简介
EDA实验中心主任Ulf Schlichtmann教授于2003年前担任德国英飞凌科技多个部门主管以及最高管理层成员。自2003年起至今任慕尼黑工业大学全职讲席教授。2007年至2013年，他担任慕尼黑工业大学电子与计算机工程学院副院长和院长。自2016年起，他担任慕尼黑工业大学董事会成员和教授任命委员会委员。他是德国国家科学与工程院成员以及新加坡慕尼黑工业大学研究中心主任。Schlichtman教授发表了近两百篇顶级期刊和会议论文并获得了多项会议最佳论文奖。EDA中心神经形态计算团队带头人张丽博士曾获得德国工程师协会Dr. Wilhelmy Preis，为2019年度德国所有工程领域三位得主之一， 并且是该奖首位中国学者得主。她还获得了慕尼黑工业大学电子与计算机工程Walter Gademann Preis，以奖励她在电路设计方法学上的突出贡献。
学校简介
慕尼黑工业大学是德国首所国家级工业技术精英大学，注重理论研究与工业工程需求相结合，与宝马，奔驰，西门子和博世为代表全球五百强企业在人工智能领域紧密合作。慕尼黑工业大学EDA实验中心主要研究方向侧重集成电路设计方法学，神经网络的高速电路实现，新型计算系统设计与优化，以及智能电路设计方法。该中心和杜克大学，圣母大学，洛桑理工等知名高校在神经形态计算领域有紧密合作。
在慕尼黑工大攻读博士为英文交流，无需德语。所在城市慕尼黑高度国际化，生活上亦几乎不需德语。
联系方式
对此职位感兴趣者请联系Dr.-Ing. Li Zhang (https://www.ei.tum.de/eda/personen/li-zhang/)。请将本人CV, 本科和研究生成绩单一并发送至 grace-li.zhang@tum.de。
03
英国伦敦帝国理工学院招聘RA
职位信息
截止日期：2022年7月4日
英国伦敦帝国理工学院现计划招收研究助理，主要从事使用基于AI的冠状病毒图像评估（SABER）进行短期和长期结果预测项目研究，该职位由Boehringer Ingelheim资助。
Job description
Successfully responding to the threat of pandemic extends beyond containment and delaying spread. It also requires the optimal use of hospital resources to prevent healthcare systems from being overwhelmed, preventing unnecessary deaths as well as predicting the resulting long-term effects of COVID-19 infection. We are seeking either a Research Associate to work on this project (Short - And long-term outcome prediction using AI-Based image Evaluation in coRonavirus (SABER)). The post is funded by Boehringer Ingelheim and aims to improve our ability to predict outcomes in early COVID-19 and other causes of lung injury, thereby facilitating hospital resource allocation and accelerating research and innovation.
Duties and responsibilities
To assist in the collection and management of imaging and clinical data.
To take initiatives in the planning of research
To direct the work of small research teams
To identify and develop suitable techniques, and apparatus, for the collection and analysis of data
To conduct data analysis
To ensure the validity and reliability of data at all times
To maintain accurate and complete records of all findings
To write reports for submission to research sponsors
To present findings to colleagues and at conferences
To submit publications to refereed journals
To provide guidance to staff and students
To attend relevant workshops and c
To develop contacts and research collaborations within the College and the wider community
Essential requirements
Research Associate: Hold a PhD (or equivalent) Computer Science, Medical Physics, Bioinformatics, Bioengineering or a closely related discipline, or equivalent research, industrial or commercial experience
Research Assistant: Near completion of a PhD (or equivalent) Computer Science, Medical Physics, Bioinformatics, Bioengineering or a closely related discipline, or equivalent research, industrial or commercial experience
Knowledge of artificial intelligence, medical image analysis, deep learning, data science, big data, federated learning
Knowledge of research methods and statistical procedures
Practical experience within a research environment and / or publication in relevant and refereed journals
Practical experience in a broad range of techniques including programming in Python, C++ and Matlab
Further information
The post is offered Full Time and Fixed Term for 2 years based at the Royal Brompton Campus, London.
Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £36,694 - £39,888 per annum.
Should you require any further details on the role please contact Dr Simon Walsh, s.walsh@imperial.ac.uk or Dr Guang Yang, g.yang@imperial.ac.uk
The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA),which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see: https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/
The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.
http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/
Additional information
Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework. Our values are:
Respect
Collaboration
Excellence
Integrity
Innovation
In addition to the above, employees are required to observe and comply with all College policies and regulations.
We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.
For technical issues when applying online please email support.jobs@imperial.ac.uk.
04
芬兰赫尔辛基大学招收全奖博士生
职位信息
截止日期：2022年8月5日
芬兰赫尔辛基大学大气和地球系统研究所（INAR）现有博士职位可申请，参研大气科学博士项目，学制三年，提供全额奖学金。
About the project
Doctoral Researcher (PhD candidate) in Atmospheric Sciences
The University of Helsinki is among the leading multidisciplinary research universities in the world. In addition to its 11 faculties, the University includes several independent institutes, some of which are jointly operated with other universities. Some 35,000 students are currently pursuing an undergraduate or a postgraduate degree at the University of Helsinki.
Measured in number of students and teachers, the Faculty of Science at the University of Helsinki is the largest science faculty in Finland. There are some 6,000 students taking a basic degree. Out of them, some 1,000 are postgraduates. There are some 500 international students, and over 200 researchers and teachers from abroad.
We are now looking for a highly motivated and talented Doctoral researcher (PhD candidate) to join our atmospheric science team related to the CLOUD (Cosmics Leaving Outdoors Droplets) experiment. The host of the research is University of Helsinki, Institute for Atmospheric and Earth system Research (INAR). The University of Helsinki welcomes applicants from a variety of genders, linguistic and cultural backgrounds.
Institute for Atmospheric and Earth System Research (INAR) is a multi- and interdisciplinary research unit based in physics, chemistry, meteorology, forest sciences, environmental sciences and social sciences in the University of Helsinki. INAR aims to strengthen the internationally leading, integrated multidisciplinary research and education environment for atmospheric and Earth system science and to feed in scientific results for the national and international environment and climate policy. It performs multiscale research from molecular to global scale and focuses on climate change, air quality, biogeochemical cycles and ecosystem processes.
Job description
In the framework of the Marie Sklodowska-Curie Doctoral Network CLOUD-DOC, we are now recruiting a Doctoral Researcher, who will be part of a network of 12 PhD candidates enrolled in a European network of academic and private institutions. The researcher will be employed for 36 months at the University of Helsinki, Finland and conduct their PhD studies in the Doctoral Programme in Atmospheric Sciences. The scientific objectives of CLOUD-DOC are to investigate the formation of aerosol particles under precisely controlled conditions that closely simulate the atmosphere. This process is of high importance for the formation of cloud condensation nuclei, which lead to cloud formation and therefore impact the climate.
For the investigation of these topics, the PhD candidates of the CLOUD-DOC network will work together at the CLOUD chamber at CERN in Geneva, Switzerland, for ca. 6-8 weeks per year to perform dedicated experiments at the facility. The PhD project objective is to elucidate the mechanisms of new particle formation and growth in various atmospheric environments, especially the Arctic. You will perform dedicated experiments at the atmospheric simulation chamber at CERN within this broad international collaboration using state-of-the-art particle counters and mass spectrometers. The work includes laboratory experiments, instrument testing/development and data analysis.
Training Programme: In addition to the training provided by the Doctoral Programme in Atmospheric Sciences at University of Helsinki, the PhD candidate will take part in an extensive training programme organized by the participating institutes of CLOUD-DOC. This includes two summer schools and two research visits (secondments) to partner institutions. The training prepares the researcher for various career prospects inside and outside academia, e.g. as independent researcher or expert in public or private sectors, industry or academia.
Requirements and eligibility criteria
-M.Sc. in a suitable field, such as atmospheric science, physics, chemistry, meteorology or equivalent. Preference is given to candidates with experience in atmospheric science and working with complicated instrumentation (particle counters, mass spectrometers or similar).
-Demonstrated capacity in problem solving and data analysis
-Experience in carrying out research independently and working in a team
-Excellent written and oral communication skills in English
-Good time management and project management skills.
The requirements for pursuing a doctoral degree at the University of Helsinki can be found at: https://www.helsinki.fi/en/research/doctoral-education/eligibility-and-educational-documents. The researcher must not be already in possession of a doctoral degree at the date of the recruitment. Researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree will not be considered eligible.
Mobility Rule: researchers must not have resided or carried out their main activity (work, studies, etc.) in Finland for more than 12 months in the 36 months immediately before their recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.
How to apply
Please submit your application via our recruitment system on 5 August 2022 at the latest. The starting date of the positions is earliest on 1 Sep 2022, or as agreed. Questions of the positions should be addressed to Associate Professor Katrianne Lehtipalo (katrianne.lehtipalo(at)helsinki.fi).
Research Fields
Atmospheric science
Career Stage
Early stage researcher or 0-4 years (Post graduate)
Research Profile
First Stage Researcher (R1)
Benefits
The position is full time and funded for three years. The salary is competitive and complies with the MSCA Work programme, consisting of living allowance and mobility allowance, after compulsory deductions. A conditional Family allowance can be added to the salary. The salary is taxable income in Finland.
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