"Post-doctoral Fellow, Internet of Things Thrust"

Introduction of HKUST(GZ):

In the rapidly changing environment of the 21st century, there is an increasing need to forge bridges across disciplines to address emerging challenges and problems. Through its commitment to academic excellence, The Hong Kong University of Science and Technology (HKUST) has developed world-class strengths in many subjects over its short 30-year history. With a strong track record of cultivating high end talents and nurturing future leaders for academia and industry, HKUST is well positioned to craft an innovative approach to cross-disciplinary education and research in its Guangzhou campus, HKUST(GZ), and meet the needs of an ever-evolving world.

Introduction of Information Hub:

The Information Hub focuses on addressing global challenges arising from human interactions with information and technology in today’s era of digital transformation. We are committed to provide world-class education and conduct cutting-edge research with practical applications in information science and technology that not only advance regional development, but also make a global impact. The Hub primarily comprises four thrust areas: Artificial Intelligence (AI), Data Science and Analytics (DSA), Internet of Things (IOT), and Computational Media and Arts (CMA). We will achieve this mission through cross-disciplinary research and education in collaboration with other thrust areas in our Guangzhou campus and related programs in our Clearwater Bay campus. We welcome students from diverse backgrounds, ranging from Computer Science, Statistics, and Engineering to Business, Design, and the Arts.

Qualification of Candidates

Applicants with a Ph.D. degree who have worked on one or more of the following research topics are encouraged to apply:

• Information theory and its applications to resilient, secure, and private distributed computing (also known as coded distributed computing);
• Federated/distributed machine learning and trustworthy machine learning;
• Protocol design and system implementation of distributed systems and/or blockchains.

The appointees are expected to play a key role in advancing the frontier of theoretical and/or practical research and demonstrate strong potential for securing research grants.

Preferred qualifications:

Strong mathematical foundations on

• Probability and stochastic processes;
• Background in information theory, learning theory, and optimizations;
• Cryptography: secure multi-party computing, homomorphic encryption.

Strong practical computer science background in

• Strong programming skills;
• Experience in building distributed systems.

Remuneration and Conditions of Service

Salary is highly competitive of international standard and will be commensurate with qualifications and experience. Generous research funds, ample laboratory space and excellent research equipment and support will be provided.

All posts are Mainland China appointment to be offered by the HKUST Mainland entity in accordance with the local employment laws and regulations. Initial appointments will be made on a fixed-term contract of 1 – 2 years commencing immediately. Re-appointment thereafter will be subject to performance, mutual agreement and funding availability.

Application Procedure

• Please submit the application via the HKUST/HKUST(GZ) Recruitment System (https://facrecruit.hkust.edu.hk/). You should first sign up to create your personal account. Please select “Research Track” in “Non-tenure Stream”. For more information, please visit the recruitment website (https://gz-faculty-recruitment.hkust.edu.hk/).
• For questions regarding the recruitment system or general inquiries, please reach us at facultyhire@ust.hk.
• You can also apply with CUJ online application or email to gzrecruitinf@ust.hk with subject title of “Application to PDF-IoT, advertised on ChinaUniversityJobs.com”.

Review of applications will continue until all positions are filled. We thank applicants for their interest. Please be advised that only shortlisted candidates will be notified of the result of their application.

(Information provided by applicants will be used for recruitment and other employment-related purposes. All application materials including publication samples and scholarly/creative works will be disposed of after the completion of the recruitment exercise.)