博士招生 | 瑞士、荷兰岗位制博士、伦敦大学学院、新加坡国立大学全奖博士项目招生！

英国伦敦大学学院全奖博士招生

Project: Nonlinear vibration in vehicular structures

It is an increasingly common practice to employ numerical simulations to quantify the noise and vibration performance of complex mechanical structures, such as road vehicles, aircraft and ships. However, nonlinearities inherent in the different components of a structure are often excluded from the mathematical models used to predict noise and vibration response. Hitherto, structural models of these complex structures were often overly simplified, partly to allow for acceptable simulation times but also a systematic means for manipulating and optimising features of nonlinear resonant response in mechanical structures is still lacking.

This project will be carried out in collaboration with Jaguar Land Rover. The research will explore innovative methods (through a combination of nonlinear dynamics, computational mechanics and optimisation) to incorporate the effects of nonlinearity in noise and vibration response of vehicular structures, at an acceptable computational cost. It is envisaged that the work will be useful to the automotive industry for making improved predictions of natural frequencies, vibration and noise in new vehicle designs.

All enquiries must be received by 9th Dec 2022 (closing date). If successful, the start date of the PhD will be in Sept/Oct 2023.

Full tuition fees and stipends (living expenses) for the duration of the doctoral research.

A background in Mechanical, Automotive or Aeronautical Engineering, or an equivalent discipline with a high technical content, of any nationality. Aptitude for computational modelling and/or experimental work is essential. Applicants should be from a top-ranked university and are expected to graduate at the top of their cohort. A research track record, demonstrated by publications in international journals, will greatly enhance the chances of success.

Applicants should write to both A/Prof(Teaching) Ali Abolfathi (a.abolfathi@ucl.ac.uk) and Prof PJ Tan (pj.tan@ucl.ac.uk) with a recent CV, area of interests and a full transcript of exam results. 

Individuals who have yet to graduate must list all the modules (and corresponding grades) for which the results are known. Qualified candidates will go through an interview, followed by a preliminary round of departmental pre-selection; and, if successful, will be entered for university-level competition for the scholarships.

新加坡国立大学 Robby T. Tan 课题组全奖博士招生

Prof. Robby T. Tan是新加坡国立大学（NUS）电子和计算机工程系（ECE）的一名副教授（Associate Professor）。他还在Yale-NUS College, NUS计算机学院（School of Computing）和数据科学研究所（Institute of Data Science）担任客座教授。他的主要研究领域是计算机视觉和深度学习，特别是low-level vision (bad weather/nighttime, color analysis, physics-based vision, optical flow, etc.), human pose/motion analysis, and applications of deep learning in healthcare.

他曾在东京大学获得博士学位，并在澳大利亚国家信息通信技术中心（NICTA）/澳大利亚国立大学、伦敦帝国理工学院和乌特勒支大学任教。他的文章已在CVPR, ICCV, ECCV, TPAMI, IJCV, TIP, Pattern Recognition (PR), Radiology, MICCAI, IROS等top期刊或会议发表。他担任CVPR, ICCV, ECCV, ACCV等会议的领域主席。他是IJCV的客座编辑。

个人主页：

https://tanrobby.github.io/

Google Scholar:

https://scholar.google.com.sg/citations?user=MOD0gv4AAAAJ&hl=en

计算机视觉和深度学习：

1. Low-level vision -- image/video quality improvement on significantly compressed videos, low resolution, bad weather, and low-light/night-time;

2. High-level vision -- domain adaptation, imbalanced data, small data, etc.

请有意者可发送您的简历和成绩单至：tanrobby@gmail.com 

邮件主题：PhD/Postdoc/RA Application - Your School – Name

瑞士苏黎世联邦理工学院全奖博士招生

PhD student position in multiphase fluid dynamics: cavitation bioeffects

The research in the newly established Multiphase Fluid Dynamics group examines both fundamental and applied questions in various small-scale multiphase fluid phenomena, such as bubble and droplet dynamics and the resulting fast flows. One of our key objectives is to control bubble oscillations to exploit their energy-focusing characteristics in biomedical applications. We also develop experimental techniques to observe and characterise high-speed multiphase fluid phenomena optically and acoustically. The group is part of the Institute of Fluid Dynamics, which pursues a broad range of experimental, numerical and theoretical research efforts in a friendly and inclusive environment with state-of-the-art infrastructure.

Starting date: 1 November 2022, or later. Negotiable.

Duration of appointment: Maximum 4 years.

Transdermal drug delivery, i.e., delivering drugs across a patient’s skin, can be facilitated via low-frequency ultrasound via the process known as sonophoresis, or sound-mediated improved permeabilisation of the skin. This allows for larger molecules such as peptides or proteins, which would otherwise struggle to passively diffuse across the skin, to reach the blood circulation thanks to sound-induced mechanical effects. Cavitation is generally suspected to be a major mechanism allowing for the localized, transient and reversible disruption of the outermost layer of the skin which typically represents the most difficult layer to penetrate. 

However, the exact contribution of cavitation and the distinct cavitation effects such as localised jetting and acoustic emissions in the process are currently unknown. This project aims at comprehensively quantifying and decoupling these physical effects in media relevant for transdermal drug delivery, such as polymer solutions and ionic liquids. The research addresses fundamental open questions in acoustic and cavitation properties of complex fluids and the associated physics, and systematically investigates cavitation effects involved in the acoustically mediated surface perforation through unique temporally and spatially resolved experiments at the micro-scale, coupled with theoretical and numerical modelling. The research leverages an international and interdisciplinary collaboration with biomaterials engineers with an expertise on skin biomechanics. 

More information on the topic can be found in the following related research article:

Zhenwei Ma, Claire Bourquard, Qiman Gao, Shuaibing Jiang, Tristan De Iure-Grimmel, Ran Huo, Xuan Li, Zixin He, Zhen Yang, Galen Yang, Yixiang Wang, Edmond Lam, Zu-Hua Gao, Outi Supponen, Jianyu Li, Controlled tough bioadhesion mediated by ultrasound, Science, Vol. 377, Issue 6607, pp. 751–755, (2022). DOI: 10.1126/science.abn8699

We seek to appoint a PhD student to conduct experimental and theoretical research to investigate cavitation effects in ultrasound-mediated transdermal drug delivery. 

You will design your experimental setup by exploiting the state-of-the-art ultra-high-speed imaging, optical and acoustic facilities available in our lab. You will support your experimental investigations with theoretical and numerical acoustics and fluid dynamics models based on our existing codes. You will be part of an exciting collaboration with our colleagues at the Lab of Biomaterials Engineering at McGill University, Montreal, Canada, which you are expected to visit during the project. In addition to research, you will contribute to teaching and lab activities in the institute.

The requirements includea Master's degree in mechanical, biomedical, aeronautical or chemical engineering, physics, material science or a related field. You should be curiosity-driven, creative, open-minded and independent, and have good communication skills, fluency in English and the willingness to fully commit yourself as a part of an international team. You should also have strong interests in experimental fluid mechanics, multi-phase flows, acoustics, biomedical engineering, and similar. Experience in experimental research is an advantage, but not necessary. However, you should be excited about the prospect of working in a lab.

ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits.

Working, teaching and research at ETH Zurich

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

荷兰阿姆斯特丹大学全奖博士招生

PhD Position "EU AI Regulation and Global Private Standard Setting"

Faculty/Services:  Faculty of Social and Behavioural Sciences

Educational level:  Master

Function type:  PhD position

Closing date:  21 November 2022

Vacancy number:  10806

The UvA department of political science is looking for a PhD researcher embedded in the RegulAite project led by Prof. Dr. Daniel Mügge.

RegulAite investigates how the European Union regulates artificial intelligence (AI) in the context of global geopolitical, economic, and technological competition. Its core premise is that to minimise the potential risks from AI and maximise its benefits for society, EU AI regulation will have to accommodate the global force field in which it unfolds and will be implemented. Project details and background can be found on the RegulAite website.

Financed by the Dutch Research Council (NWO) through a Vici grant, RegulAite is hosted by the PETGOV (Political Economy and Transnational Governance) programme group in the political science department.

This PhD project investigates the interaction between the EU and private forms of global standard setting for AI, either in the form of technical organizations such as International Organization for Standardization, or company- or NGO-led standard setting initiatives (see subproject V). The goal of the project is to understand how the EU interacts with such private standard setting initiatives, and why so. Based on that, it assesses alternative future scenarios for such engagement and their relative merits and ancillary effects.

Embedded in the RegulAite project, the successful candidate will be part of a larger team studying issues of EU AI regulation, but with their own dedicated field of inquiry - for example by concentrating a particularly relevant subset or aspect of the dynamics mentioned in the project description.

Complete a PhD dissertation, based either on a monograph or a collection of scientific articles, within the duration of the contract;

Aid the dissemination of research results through widely accessible formats;

Actively contribute to the RegulAite project’s activities and outreach;

Contribute to collective academic publications;

Spend up to 10 percent of your contract time teaching at the political science department, as agreed with the BA teaching director.

We are looking for a candidate with demonstrable enthusiasm for social scientific research and the politics of AI regulation, as well as a solid understanding of EU policymaking. Successful applicants are eager to learn about scientific research and are able both to take and share constructive feedback, and to work independently based on such feedback. We appreciate colleagues who enjoy working in and contributing to a collective research effort. Data collection will involve approaching and interviewing professionals in the field; ease in making connections with other people and gaining their cooperation will therefore be a plus.

• (Research) MA in political science or a related relevant discipline;

• Familiarity with social science research methods;

• Affinity with and knowledge of policymaking concerning digital technologies. 

We offer a temporary employment contract for the period of 48 months. The first contract will be for 12 months, with an extension for the following 36 months, contingent on a positive performance evaluation within the first 12 months. The employment contract is for 38 hours a week. The preferred starting date is 1 March 2023.

For this position the University Job Classification profile PHD applies. 

The gross monthly salary, based on 38 hours per week, ranges from € 2541 in the first year up to a maximum of € 3247 in the final year. This sum does not include the 8% holiday allowance and the 8,3% year-end allowance. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Dutch Universities is applicable.

The UvA offers excellent possibilities for further professional development and education.

• an opportunity to investigate a topic of enormous societal relevance;

• a position in which initiative and input are highly valued;

• an enthusiastic and warm team that is open to new colleagues;

• an inspiring academic and international working environment in the heart of Amsterdam;

• multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses;

• 7 weeks birth leave (partner leave) with 100% salary;

• partly paid parental leave;

• a pension at ABP for which UvA pays two third part of the contribution. 

The University of Amsterdam is the largest university in the Netherlands, with the broadest spectrum of degree programmes. It is an intellectual hub with 39,000 students, 6,000 employees and 3,000 doctoral students who are all committed to a culture of inquiring minds. 

A challenging work environment with a variety of duties and ample scope for individual initiative and development within an inspiring organization. The social and behavioral sciences play a leading role in addressing the major societal challenges faced by the world, the Netherlands and Amsterdam, now and in the future.

Want to know more about our organisation? Read more about working at the University of Amsterdam.

Do you have any questions or do you require additional information? Please contact:

Prof. Dr. Daniel Mügge, d.k.muegge@uva.nl 

Do you recognize yourself in the job profile? Then we look forward to receiving your application/motivation letter and resume in one bundled .pdf by 21 November 2022.

Applications in .pdf should include:

• a curriculum vitae;

• a letter of motivation;

• a short research proposal of approximately 600 words describing, within the project parameters laid out above, which dynamics and questions the candidate would want to research in particular, including questions to be answered, potential cases to be analyzed, data sources to be used, and potentially relevant literature(s).