Hiện tại chương trình vẫn chưa tìm đủ ứng viên nộp học bổng MEXT PhD. Bạn nào thấy phù hợp thì nộp đơn theo thông tin bên dưới:
Thông tin học bổng:
– Nhập học: October 1, 2022 (thời gian học: From October 2022 to September 2025)
– Scholarship benefits: 145,000 yen/month + học phí + phí nhập học + vé máy bay khứ hồi
– Applicants must fulfill all of the following qualifications:
Applicants who have the nationality of a country which has diplomatic relations with Japan.
Applicants who will come to Japan in order to enter NAIST under this program.
Applicants who were born after April 2, 1987.
Applicants who have an excellent academic record. (They must have average grade points (*1) of 2.30 or higher for the most recent 2 years of study and are expected to maintain this points during the duration of the scholarship.)
Applicants who have a master’s degree by September 30, 2022, or, Applicants who have been recognized by NAIST through Preliminary Screening of Applicant Suitability as having the academic ability equivalent or superior to the level of a master’s degree, and are 24 years old or older by the enrollment date.
Project Description Foreseeing a world of interconnected AI-empowered Internet of Things (IoT), this project is to build an Artificial Intelligence of Things (AIoT). Modern AI algorithms cannot be implemented effectively in the IoT devices due to their limited computing resources and storage. On the other hand, limited network bandwidth and latency delay the data transmission and affect the timeliness of training a deep learning model at the cloud computing center. The research objectives are to (1) implement an energy-efficient AI algorithm on the edge devices, (2) and to train the learning model effectively despite having only limited amount of data locally. To achieve these objectives, this project proposes using the (1) Spiking Neural Networks (SNNs) to provide energy-efficient learning on edge devices, and (2) Federated Learning (FL) to train collaboratively a global model for the distributed devices. Source of Funding: Fundamental Research Grant Scheme (FRGS) Duration: 2 Years (2021 Sep – 2023 Aug) Monthly Salary: RM 2000 Location: Faculty of Engineering, Multimedia University, Cyberjaya, Selangor, Malaysia
Benefits of the project (not limited to):
Pursue a Master of Engineering Science (M.Eng.Sc.)
Publications in conference proceedings and journals
Responsibilities:
Conduct research and publish the findings
Deliver the expected project outcomes
Perform administrative works assigned by the faculty
Requirements:
Bachelor’s degree in Electrical/Electronics Engineering with CGPA 3.0 and above.
Prior knowledge and skills in embedded system programming, AI, Neural Network, Federated Learning algorithms is an advantage
Can communicate and write well in English
Responsible and responsive
Be committed till the project ends
Interested applicants please write to Dr Foo Yee Loo (ylfoo@mmu.edu.my) with a proper cover letter & CV by 15 Nov 2021. Only shortlisted candidates will be called for an interview.
The Ericsson Innovation Awards is là một giải thưởng mang đến cho các bạn sinh viên đại học trên thế giới những cơ hội đem những ý tưởng đổi mới vào cuộc sống và tác động đến thế giới.
Hiện tại Ericsson Global đang có tổ chức một cuộc thi dành cho các bạn sinh viên mang tên Ericsson Innovation Awards 2021 với giải thưởng lên đến €25,000 (790,000,000 VND). Các đội vào đến vòng Semi Final cũng sẽ nhận được phần thưởng €1,000.
