Intelligent Scene Understanding with Deep Neural Networks

Intelligent Scene Understanding (ISU) is one key technology in Artificial Intelligence (AI). With multiple sensors (e.g. cameras), ISU attempts to detect, identify, recognize, and understand various subjects (e.g., humans, vehicles, and objects) in the real-world scene. Typical applications of ISU include (1) no-employee supermarket system (e.g., Amazon-Go Supermarket) where there is no queue and no checkout, and (2) intelligent suspect hunting system (where public video cameras might be used to automatically identify suspected persons or vehicles). On the other hand, deep learning is widely recognized as one active research direction in machine learning. Its performance is even higher than human beings in many real learning and vision scenarios. Based on our solid foundation in both deep learning and pattern recognition, the objective of the intended project is to investigate the state-of-the art deep learning models, and invent novel architectures and algorithms of deep neural networks so as to design an ISU system which is able to recognize, analyze, and understand scene objects accurately and efficiently. The intended project is not only theoretically significant, but more importantly the research outcomes could be extensively applied in various applications. Further enhanced technologies in deep-learning based ISU are expected to benefit public security, tourism service, and smart city construction.

For more information about doctoral scholarship and PhD programme at Xi’an Jiaotong-Liverpool University (XJTLU): Please visit:

http://www.xjtlu.edu.cn/en/admissions/phd.html

http://www.xjtlu.edu.cn/en/admissions/phd/feesscholarships.html

Requirements:
The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in Computer Science, Engineering, Mathematics, and other related areas. Evidence of good spoken and written English is essential. The candidate should have an IELTS score of 6.5 or above, or an equivalent qualification, 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 email [Email Address Removed] (principal supervisor’s email address) the following documents and copy to [Email Address Removed] (please put the project title in the subject line).

• CV
• Two formal reference letters with company/university letterhead
• Personal statement outlining your interest in the position
• Proof of English language proficiency (an IELTS score of above 6.5 or equivalent is required
• Verified school 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)

Informal enquiries may be addressed to Dr. Kaizhu Huang ([Email Address Removed] ), whose personal profile is linked below,
http://www.xjtlu.edu.cn/en/departments/academic-departments/electrical-and-electronic-engineering/staff/kaizhu-huang
or www.premilab.com