This research project aims to develop new AI innovative technologies for multimedia analytics and edge computing devices for deployment on Application Specific AI Internet of Things (ASAIoT). The research aims to address some critical challenges on Edge AI and embedded systems for AI-ASIoT. The lack of computational capabilities (e.g., on satellites) to support AI and machine learning algorithms is a major hurdle towards embedded or on-board data analytics. While there exists edge computing hardware (e.g., Nvidia Jetson series) targeted at the AI industry, the computational resources on such hardware are still significantly smaller than that on standard hardware. The lack of sufficient on-board computational resources also precludes intelligent sensing capabilities for high volume and fast speed applications; in particular, in situ fusion of multimodal sensors. There is an urgent need to: (1) Develop new models/techniques to reduce the computational requirements for training AI edge computing and embedded devices; (2) Develop new models/ techniques to handle multimodal data fusion; and (3) Develop architectures and testbeds for AI EDGE Ecosystem for validation and benchmarking. The research will result in the development of the AI-EDGE Ecosystem with a focus on real-time or on-board data processing and novel AI techniques to enable edge AI for industry applications, to be integrated to the AS-AIoT.
For more information about doctoral scholarship and PhD programme at Xi’an Jiaotong Liverpool University (XJTLU), please visit
https://www.xjtlu.edu.cn/en/admissions/global/entry-requirements/
https://www.xjtlu.edu.cn/en/admissions/global/fees-and-scholarship
Requirements:
The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in a relevant field such as computer engineering, electrical & electronics engineering, software engineering, or any relevant engineering domain and be able to demonstrate equivalent relevant research experience. A person with prior knowledge and/or working experience in IoT or embedded system will be preferred. Evidence of good spoken and written English is essential. The candidate should have an IELTS score of 6.5 or above, if the first language is not English. This position is open to all qualified candidates irrespective of nationality.
Degree:
The student will be awarded a PhD degree from the University of Liverpool (UK) upon successful completion of the program.
How to Apply:
Interested applicants are advised to contact [Email Address Removed] (XJTLU principal supervisor’s email address) the following documents for initial review and assessment (please put the project title in the subject line).
- CV
- Two formal reference letters
- Personal statement outlining your interest in the position
- Certificates of English language qualifications (IELTS or equivalent)
- Full academic transcripts in both Chinese and English (for international students, only the English version is required)
- Verified certificates of education qualifications in both Chinese and English (for international students, only the English version is required)
- PDF copy of Master Degree dissertation (or an equivalent writing sample) and examiners reports available
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