Situational awareness (SA) refers to the perception and understanding of what's happening in a complex environment and identifying potential threats and dangerous situations. This research aims to develop a number of new AI innovative technologies for situation awareness and threats modelling from unstructured Big Data generated by Internet or social networks. The research will result in the development of the AI-Empowered Situation Awareness Geo Map Project (AI-SAMAP) for identifying potential threats and dangerous situations from unstructured Big Data. The project aims to develop new techniques and address two important components or research questions for multimodal modelling from Big Data videos and speech towards the challenge of situation awareness and threats identification from Internet or social networks: (1) Intelligent information processing techniques; and (2) Deployment on meta-scalable computing architectures. The project is focused on videos and speech since sentiment, emotion and opinion modelling for text-based data have been widely investigated. The later part of the project would incorporate text-based techniques to realize a complete system for situation awareness and threats identification.
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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 science, software engineering, or any relevant computing domain and be able to demonstrate equivalent relevant research experience. A person with prior knowledge and/or working experience in Data Analytics on Situation Awareness or AI Multimedia Information Processing 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.
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).
- 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