[Tổng hợp] CÁC HỌC BỔNG PHD FULLY-FUNDED ĐANG MỞ
Vừa rồi có bạn Minh gửi cho page một số vị trí PhD cực xịn xò nên mình sẽ tổng hợp một số vị trí khác đang mở luôn nhé ;)
1. Fully-funded PhD positions tại University of Oxford, UK và University of Colorado, USA vào năm 2021-2022.
Trong đó, 3 suất dành cho University of Oxford, 3 suất dành cho University of Colorado. Các bạn có thể làm ở cả 2 nơi.
📌 Thông tin GS: Dr. Tam Vu (http://mnslab.org/tamvu/) leads a multidisciplinary research group in the Computer Science Department at the 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐎𝐱𝐟𝐨𝐫𝐝 and 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐂𝐨𝐥𝐨𝐫𝐚𝐝𝐨.
📌 Project topics:
(1) Embedded System Machine Learning, (2) Mobile Healthcare, (3) Brain-Computer Interface, (4) Mobile Sensing and Wireless Sensing Systems, (5) Medical Device and System, (6) Quantum Computing.
📌 YÊU CẦU:
+ Chuyên ngành Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Robotics, Bioengineering.
+ Hands-on experience with coding, system design, and implementation.
+ Có kinh nghiệm nghiên cứu.
+ Well prepared for 3-5 years of concentrated work.
📌 CÁCH ALLPY:
CV should be submitted via email to Dr. Tam Vu ([email protected]) with the subject heading “𝐏𝐡𝐃 𝐎𝐱𝐟𝐨𝐫𝐝-𝐂𝐨𝐥𝐨𝐫𝐚𝐝𝐨 𝟐𝟎𝟐𝟐”. Positions will remain open until filled, but the preferred start date is 09/2021 or Early 2022.
2. Thông tin PhD tại IPVF (Viện quang điện của vùng Ile-de-France).
Đây là một trong cơ hội rất tốt cho anh em vật liệu, được làm việc với giáo sư của trường Ecole Polytechnique (trường xịn nhất nước Pháp). Giáo có hơn 707 bài báo, indice-h 58 indice-i10 301.
📌 Topic: Fabrication of III-V Materials by PECVD
- Starting date: 10/2021
- Education: Master 2/Engineer
📌 CHI TIẾT: https://www.ipvf.fr/emploi/ipvf-phd-thesis-fabrication-of-iii-v-materials-by-pecvd
📌 DEALINE: 30/9. Nhưng các bạn nên mail giáo sư cho chắc chắn ;)
3. Liên kết nghiên cứu tùy theo trình độ cá nhân, người lao động được trả lương theo nhóm lương E 13 TV-L)
Các vị trí được tài trợ bởi Quỹ Alexander-von-Humboldt
📌 Yêu cầu:
- Có bằng ĐH và tiến sĩ về sinh học hoặc các lĩnh vực liên quan, có chuyên môn về ít nhất một trong các lĩnh vực sau:
+ tạo ra các mô hình động vật di truyền;
+ hình ảnh in vivo và kính hiển vi tua nhanh thời gian;
+ genomics và bioinformatics
+ điện sinh lý in-vivo;
+ giải phẫu thần kinh và mô học.
- Nói và viết Tiếng Anh thành thạo.
- Ứng viên có động lực cao Quen thuộc với mô hình thí nghiệm, cá ngựa vằn, là một lợi thế.
Vui lòng gửi đơn đăng ký của bạn bao gồm CV, statement of motivationvaf tên của ít nhất 2 academic referees qua Cổng thông tin TU Dresden SecureMail https://securemail.tu-dresden.de bằng cách gửi nó dưới dạng một tài liệu PDF duy nhất tới [email protected] hoặc qua thư đến: TU Dresden, CRTD, GSur für Neuronale Entwicklung und Regeneration, Frau GS Catherina Becker, Fetscherstraße 105, 01307 Dresden. Vui lòng chỉ gửi bản sao vì đơn đăng ký của bạn sẽ không được trả lại cho bạn. Các chi phí phát sinh khi tham dự phỏng vấn không được hoàn trả.
📌 Chi tiết: https://securemail.tu-dresden.de/web.app
📌 DEADLINE: 13/08/2021
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DATA ANALYTICS GROUP, UNISA
University of South Australia (UniSA)
UniSA is one of Australia’s world-leaders in teaching and research, with proven high standards of academic excellence in engineering and technology. Despite being a young university under 50 years old, the University has received a range of awards for outstanding education, student and graduate satisfaction, and world-class research. UniSA is ranked 24 in the QS World’s Top 50 universities under 50 years old.
Data Analytics Group (DAG)
DAG is a fast growing research group within the Advanced Computing Research Centre. It is a strong team in data management and data analytics. The group’s research has been supported by nine Australian Research Council (ARC) discovery grants, and their research results have been published widely in top international journals and conferences.
The primary research interest of DAG is in extracting actionable information from complicated data to help with decision-making and automation. Our research topics include data mining, predictive modelling, machine learning, and bioinformatics.
We welcome strong candidates to join our group as PhD students, visiting scholars, or visiting/intern students.
Scholarship Programs and Financial Support
PhD students:
For students who have got scholarships, (e.g. Australia Awards, Endeavour, 911), DAG will provide a top up scholarship of AUD 10,000/year.
For students who are high achievers, e.g. already have a Master degree with decent publications, DAG will support them to apply for Australian government scholarships, (e.g. Endeavour, IPRS) and UniSA scholarships (e.g. UPS). Top up scholarships are also available for outstanding candidates.
Visiting Scholars
Researchers in the fields of data mining and/or bioinformatics are encouraged to apply for financial support to join DAG as visiting scholars. A visiting scholar is expected to work in one of our current projects. The successful applicant will receive a stipend of $24,000/year, return air-tickets, and health insurance.
Self-funded researchers who are interested in collaborating with us are welcome.
Visiting Students
Students who are currently doing PhD/Master in Vietnam and would like to spend 6 month to1 year as visiting students in our group are encouraged to contact us to apply for financial support. The successful applicants will receive stipends of $24,000/year, return air-tickets, and health insurance. Visiting students are expected to work under the supervision of DAG researchers, and after they have finished their visiting study at DAG, they must continue working on the same research topic during their PhD/Master study.
Self-funded students are welcome to join us. They will be co-supervised by researchers at DAG.
Mentoring Program
Mentoring program is available for students who are doing Master/Bachelor in Vietnam and would like to do research with us to get publications with the aim to apply for PhD scholarships in near future. We can help with research ideas and supervise (remotely) the students to produce joint publications. High performance students will be supported to apply for one of the above PhD scholarship programs in our group.
For students who are doing PhD in Vietnam and would like to do research in one of our research projects, we are happy to discuss with their supervisors to co-mentor the students.
Background requirements and selection criteria
A strong undergraduate and/or graduate mathematics background.
Good written and verbal communication skills in English. (equivalent to the level of IELTS 6.0 as the minimum)
A demonstrated ability to program and/or write software.
Demonstrated high level interpersonal skills that contribute to effective team work.
Knowledge in data mining / machine learning.
Knowledge in Biology is a plus but not compulsory.
————————————-
Interested candidates please send your CV and a letter addressing the selection criteria and mentioning which program you would like to apply for to:
Dr Thuc Le ([email protected]). Homepage: Click Here
Prof. Jiuyong Li ([email protected]). Homepage: Click Here
Dr. Thuc Le and Prof. Li will be in Ha Noi and HCMC from 12 Dec to 16 Dec 2016.
Source: Mrs. Trang Hoang ([email protected])
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