海外博士項目招生信息匯總

今天機構申請部老師整理最新海外博士招生和獎學金介紹，同學們(men) 快看看有沒有合適自己的項目吧！

目錄

1.香港科技大學招全獎博士

2.德國科隆大學招全獎博士

3.丹麥技術大學招收全獎博士

4.ETH蘇黎世聯邦理工學院招收全獎博士

5.美國肯塔基大學招全獎博士生

6.大灣區大學與(yu) 密西西比州立大學聯合招收博士研究生

01、香港科技大學招收全獎博士

職位信息

香港科技大學&香港科技大學（廣州）聯合博士招生—大灣區氣候變化與(yu) 數字化韌性低碳校園方向

簡介

香港科技大學&香港科技大學（廣州）智慧可再生能源與(yu) 可持續技術課題組，現招聘大灣區氣候變化與(yu) 人工智能的韌性低碳校園方向博士生/研究助理若幹名，主要研究方向為(wei) 基於(yu) 氣候變化適應性和用戶需求側(ce) 柔性響應的零碳校園設計—廣州校區和清水灣校區案例研究，涉及建築能源係統仿真、多能源轉化、存儲(chu) 、管理與(yu) 控製、區域能源係統規劃等。學生培養(yang) 方式采取香港科技大學&香港科技大學（廣州）聯合培養(yang) ，香港校區指導老師：向暢穎博士，廣州校區指導老師：周躍寬博士。組內(nei) 有來自北大和西安交通大學等學校的師兄師姐，學習(xi) 氣氛濃厚，涉及多元跨學科研究方向。

研究方向

建築節能、綠色建築、可再生能源、熱電儲(chu) 能等。

描述：入學香港科技大學廣州校園，學生獲得的學位證書(shu) 與(yu) 清水灣校園一樣，期間至少有180天到境外/香港交流時間，教育部境外留學學曆學位認證。入學香港科技大學清水灣校園，期間至少有180天在廣州校園交流。

招生要求

1. 擁有建築環境與(yu) 能源應用、暖通空調、能源與(yu) 動力工程的碩士學位，或同等學曆。

2.熟悉掌握建築能耗模擬軟件（如TRNSYS，CFD, COMSOL, MATLAB, Python）、建模和係統優(you) 化。擁有熱力學，傳(chuan) 熱傳(chuan) 質等學科的優(you) 異學習(xi) 成績。

3.論文發表和出版經曆。

4.對科學充滿熱情、吃苦耐勞、工作努力、責任心強、勤奮努力並有團隊合作精神。

5.英語要求：未獲得英語教學語言學位的申請人，必須在雅思（IELTS）中取得至少6.5分（各項不低於(yu) 5.5）的總分；托福（paper-based）550分以上，或80分(internet-based)或以上。

福利待遇

職位：全額獎學金博士生/研究助理，香港科技大學（廣州），可持續能源與(yu) 環境，功能中心，廣州校園；香港科技大學，綜合係統與(yu) 設計學部，清水灣校園。

待遇：博士生1.5萬(wan) RMB /月 或 18300 港幣/月

研究助理 具有競爭(zheng) 力的薪酬。

聯係方式

對該職位感興(xing) 趣的同學，請將簡曆、成績單（學士和碩士階段）、論文發表和英語證書(shu) ，通過電子郵件發送給向暢穎博士(changyingx@ust.hk)、周躍寬博士(yuekuanzhou@ust.hk;yuekuan.zhou@outlook.com)

02、德國科隆大學招收全獎博士

職位信息

德國科隆大學物理係Paul van Loosdrecht教授研究組招收超快光譜方向博士生。

Job description

we have a phd position (payscale: e13, tv-l, 50% ~ 75%) opening onultrafast optical spectroscopy of organic semiconductorsfromapril 2024 or laterin the optical condensed matter science group led by prof. paul van loosdrecht at the department of physics at university of cologne, germany. the selected candidate will work within the tide research training group (https://tide.uni-koeln.de/home).

Requirements

1) the applicant should have recently obtained (or be about to obtain) a m.sc. degree (or equivalent) in physics, chemistry, material sciences or other relevant fields with excellent results;

2) the applicant should have a solid background in condensed matter physics, physical chemistry and/or non-linear optics with extensive hands-on experience with ultrafast optical spectroscopy or microscopy. experience with organic/hybrid semiconductors, physical measurements at low temperature or in high magnetic field, or theoretical modeling of photophysics in organic materials will be considered as a plus;

3) the applicant should possess fluent programming skills in python, mathematica, or matlab;

4) the applicant should have strong english proficiency. a minimum toefl ibt score of 90 (with no subp below 22) or an ielts score of 6.5 (with no subp below 6.0) is required;

5) the applicant should demonstrate the capacity to work independently while also showcasing strong teamwork skills and effective communication abilities with colleagues from diverse scientific backgrounds.

Apply

interested applicants can find more informationhereand should send their applications (includingcvs, letters of motivation and academic transcripts (with courses and grades)) to dr. tianyi wang (twang@ph2.uni-koeln.de). selected candidates will be invited for an informal online interview first and potentially a formal interview later.

03、丹麥技術大學招收全獎博士

職位信息

PhD-Scholarship in Network Optimisation for Connected, Cooperative and Automated Mobility (CCAM) development

Your complete online application must be submitted no later than1 May 2024 (Danish time).

Project

With the increasing transport demand, traffic pressure on existing infrastructure has grown significantly; a trend that is unlikely to change significantly as transportation links with economic growth.

Unfortunately, the transport sector also generates several negative externalities, and it is one of the few economic sectors that have not seen a significant decline in emissions.

Accordingly, the European Commission indicated CCAM as a strategic asset to meet the Sustainable Development Goals (SDGs) set by the United Nations and reduce negative environmental impacts on the environment.

CCAM is not only expected to be more efficient than conventional mobility solutions (e.g. conventional vehicles) but also allows the development of entirely new mobility services, such as autonomous on-demand responsive transport (DRT), that can serve different typologies of users and completely revolutionise our mobility ecosystems.

In such a context, the PhD project is established to develop algorithms able to optimize routing and scheduling of mixed CCAM fleets.

The new algorithm will leverage semi-personalized incentives to make CCAM services more inclusive of all users.

The ultimate goal is to develop an algorithm that can optimize CCAM services while also promoting equity in mobility.

Key tasks

The project includes 18 partners from 10 different countries.

You will work in an international environment and in close collaboration with scholars with expert knowledge within various aspects of the field and you will have the opportunity to engage with a variety of consortium partners, including mobility companies and municipalities.

You will need to conduct case studies/experiments to validate the models and algorithm.

Your primary tasks will be:

• Develop mathematical modelling and solution algorithms for routing and scheduling passenger transport using CCAM fleets
• Advance multimodal traffic assignment models to consider transport equity and multimodality
• Propose and investigate the use of semi-personalized travel incentives for improving public transport
• Conduct case studies to validate the models and algorithms
• Publish in high-impact journals and present your results at conferences
• Spend 6 months visiting one of our partner universities, in Europe or United States (the most suited partner will be decided together with the candidate during the first 6 months of the project).

You will be rooted in the Transportation Systems Modelling p, a part of the Division of Transportation Science, DTU Management.

The division also consists of research groups within transport demand, machine learning for smart mobility, transport economics and transport psychology.

You will be part of an expanding group working on integrated urban mobility systems with other PhD students and staff in the division.

Requirements

You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree.

Your background should be in Transportation, Operation Research, Applied Mathematics, Computer Science, or related.

We furthermore expect

• Good programming capabilities in any scientific language (e.g., C++, C#, Python, Julia, etc.)
• Good communication skills in English, both written and orally
• Well-motivated and able to work independently
• Willingness to engage in group work with a multi-national team

Approval and Enrolment

The scholarship for the Ph.D. degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU.

For information about our enrolment requirements and the general planning of the PhD study programme, please see https://www.dtu.dk/english/Education/PhD/Rules

Assessment

The assessment of the applicants will be made by the advisor team as soon as possible after the application deadline.

We offer

DTU is a leading technical university globally recognised for the excellence of its research, education, innovation and scientific advice.

We offer a rewarding and challenging job in an international environment.

We strive for academic excellence in an environment characterised by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations.

This includes, among others a highly attractive salary scheme and other benefits, see https://www.dtu.dk/english/education/phd/intro/salary.

The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

Further information

Further information may be obtained from:

Asst. Prof. Guido Cantelmo, guica@dtu.dk, DTU Management

Assoct. Prof. Jesper Bláfoss Ingvardson, jbin@dtu.dk, DTU Management

Assoct. Yu Jiang, yujiang@dtu.dk, DTU Management

You can read more about DTU Managementat https://www.man.dtu.dk/english

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at https://www.dtu.dk/english/about/job-and-career/moving-to-denmark.

DTU Management’s Transportation Systems Modelling p would like to invite applications for a 3-year PhD position starting on 1 October 2024or earlier. The successful candidate will join the p under the supervision of Asst. Prof. Guido Cantelmo, Associate Prof. Jesper Bláfoss Ingvardson, and Associate Prof. Yu Jiang.

The candidate will contribute to the CulturalRoad project, funded by the European Commission. We are looking for excellent applicants with a strong background in Transport, Operation Research, Applied Mathematics, Transport Engineering, and/or Computer Science with an ambition for excellence and experience working with mathematical modelling and programming.

Link: PhD-Scholarship in Network Optimisation for Connected, Cooperative and Automated Mobility (CCAM) Development – DTU Management - DTU Career Site Careers (oraclecloud.com)

Apply

Applications must be submitted as one PDF filecontaining all materials to be given consideration. To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• A letter motivating the application (cover letter)
• Curriculum vitae
• Grade transcripts and BSc/MSc diploma
• Applicants from institutions where the language of instruction and examination are not entirely in English are required to provide at least one English language test result (e.g. TOEFL, GRE, or IELTS)

You may apply prior to obtaining your master’s degree but cannot begin before having received it.

If you have finished your master’s degree, you may attach a PDF version of this to the application and any published English papers.

All interested candidates, irrespective of age, gender,race, disability, nationality, religion or ethnic background, are encouraged to apply.

04、ETH蘇黎世聯邦理工學院招收全獎博士

職位信息

Doctoral student – optimisation of biogas production and effluent quality

4月1日截止

Job description

Recently, the commercialisation of low-cost, modular anaerobic digesters (also known as “biogas digesters” or “biogas plants”) has increased demand for this well-established, but far from optimised, technology.

Much of the interest associated with the new systems comes from the need for the methane-rich biogas, which can be used as a sustainable source of cooking fuel.

Components for pressurising, storing, and burning biogas have also become plentiful.

However, the resulting effluent contains harmful concentrations of pathogens and must be treated further before it is safe for handling or disposal.

Working at three, large-scale, school-based experimental sites in Kenya, we want to develop, test, and validate a suite of technologies that can be used to process the post-digestion effluent into a safe product for agricultural applications.

This work will involve technology development and optimisation, extensive sensor piloting (especially related to methane and Volatile Fatty Acids), large-scale data management, complex stakeholder interactions, and long-term research stays in Kenya.

Requirements

A Master's degree in engineering

Experience with environmental sampling, laboratory analysis, and sensors

A passion for prototyping, designing and building: you like to make things and you have done it in the past

A willingness to travel and work alone in difficult conditions: you are not afraid of getting your hands dirty

Competency in using a programming language (R, Python, Julia, JavaScript) for data cleaning (read, transform, and join dataframes from different sources) and exploratory data analysis (data visualisation, descriptive statistics)

A curious mind, a positive attitude, a love of research

Excellent critical thinking and problem solving skills: you can make a new plan when something goes wrong

Work experience in Sub-Saharan Africa and/or a knowledge of Swahili are desirable but not required

職位信息網址

https://jobs.ethz.ch/job/view/JOPG_ethz_zBUF5MfE9KOInVI4vb

05、美國肯塔基大學招收全獎博士

職位信息

Ph.D. openings in the Department of Mechanical and Aerospace Engineering at the University of Kentucky, Lexington, KY, in Dr. Xu Jin’s group on the topics of intelligent control.

Job description

金老師簡介：美國肯塔基大學助理教授、博士生導師。新加坡國立大學電子計算機專(zhuan) 業(ye) 一等榮譽學士學位，加拿大多倫(lun) 多大學電子計算機專(zhuan) 業(ye) 碩士學位，美國佐治亞(ya) 理工大學數學碩士學位，美國佐治亞(ya) 理工大學航天工程博士學位。發表論文70餘(yu) 篇，引用量3400餘(yu) 次。金老師在斯坦福全球前2%科學家“2022年度科學影響力排行榜”排名7562。

More research details can be found on Dr. Xu Jin’s

website:https://www.engr.uky.edu/directory/jin-xuand the external links included. The positions include stipend, health care, and tuition support. Qualifications: The applicants MUST ALREADY HAVE, or will soon have the TOEFL/IELTS test score (if applicable) meeting the departmental minimum requirement. For students to be enrolled in Fall 2024, GRE will no longer be required in the application process, but still encouraged.

Keytasks

We look for excellent students in one or more of the following areas:

• Adaptive control
• Iterative learning control
• Nonlinear systems and control
• Vision-based control
• Ground vehicles/Quadrotors

Apply

Applications should be emailed to Dr. Xu Jin atxu.jin@uky.eduas soon as possible. Please include a full CV (including TOEFL/IELTS scores if applicable, and GRE scores if available), PDFs of relevant publications, and names of at least three references. Upon initial email discussions, those who are encouraged to apply should then apply to the department as soon as possible, and indicate Dr. Xu Jin’s name in the application package.

06、大灣區大學與(yu) 密西西比州立大學

聯合招收博士研究生

職位信息

大灣區大學與(yu) 密西西比州立大學聯合招收3名2024年博士研究生

Project

Prof. Fadi Sun and Prof. Jinwu Ye in the Theoretical Physics Division at Great Bay University (GBU) are seeking 3 Ph.D. students to conduct their thesis on the two research directions:

1) Quantum/topological phases and phase transitions in materials, non-relativistic quantum field theory at a finite temperature.

2) Quantum materials in curved space-time, Sachdev-Ye-Kitaev models and quantum black holes from material's point of views.

Prospective candidates have the opportunity to choose between two distinguished pathways:

1) GBU-MSU Joint Program:

Spend the first 9 months at Mississippi State University (MSU), followed by 4 to 5 years at Great Bay University conducting research under the supervision of Professors Fadi Sun and Jinwu Ye. Afterward, return to MSU for a 2-week period to defend their Ph.D. thesis. Upon successful completion, they will be awarded a joint Ph.D. from GBU-MSU.

2) GBU exclusive Program:

Just spend the entire Ph.D. period at Great Bay University and receive their Ph.D. from GBU.

In addition to the primary research focus, students are encouraged to collaborate with our faculty members specializing in topological phases or quantum black holes from string theory/quantum gravity viewpoints.

Requirements

1.Applicants must demonstrate a minimum score of 79 TOEFL iBT or IELTS 6.5 for consideration in the GBU-MSU joint program. Those falling below this threshold will be required to enroll in language courses upon arrival in the United States.

2.A completed Bachelor's/Master's (research) degree in Physics or a related field.

3.Reasonable knowledge in quantum mechanics and statistical mechanics.

Apply

Interested candidates are invited to submit their comprehensive applications to:

jinwuye88888@gmail.com

以上就是機構申請部老師整理的海外博士項目招生信息匯總！