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Posted: 04-Sep-24
Location: Guangzhou, China
Type: Full Time
Salary: highly competitive
Years of Experience:
Salary Details:
Preferred Education:
Additional Information:
Open-rank faculty Positions in Fintech, Financial Engineering, AI, Machine Learning, Data Science
Department: Financial Technology Thrust, The Hong Kong University of Science and Technology (Guangzhou)
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, The Hong Kong University of Science and Technology (Guangzhou) (HKUST(GZ)), and meet the needs of an ever-evolving world.
About HKUST Guangzhou Campus [https://hkust-gz.edu.cn/]
HKUST(GZ) offers a unique educational environment with four trans-disciplinary hubs and sixteen thrust areas. HKUST(GZ) offers superb research facilities, attracting top international faculty and students to conduct curiosity-driven and goal-oriented research to address the world’s pressing scientific and technological challenges. English is the medium of instruction and administration at HKUST(GZ).
HKUST(GZ) is situated in Nansha District, Guangzhou, which is right in the center of the Greater Bay Area, one of the most vibrant and dynamic regions in the world, neighboring Shenzhen, Hong Kong, and Macao.
Job Posting Details
The Financial Technology Thrust of Society Hub of The Hong Kong University of Science and Technology (Guangzhou) invites applications for tenure-track/tenured positions at all ranks (Assistant Professor / Associate Professor / Professor) in all fields of FinTech. For more information about the Fintech Thrust, please visit https://hkust-gz.edu.cn/academics/four-hubs/society-hub/financial-technology.
We seek talents in the cutting-edge research in FinTech. Applicants must have PhD degrees in FinTech or related fields, e.g., Computational Mathematics, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research, Optimization, Probability, And Statistics.
Areas of interest include but are not limited to:
Blockchain technologies, smart contracts, and digital currencies
Robo-advising, quantitative investing, and risk management
Machine learning, artificial intelligence, and big data analytics in finance
Technological innovations for financial services
Regulatory issues and challenges in FinTech
Digital economy and financial inclusion
Remuneration and Conditions of Service
Salary is highly competitive. Fringe benefits include annual leave, medical and dental benefits. Housing benefits will also be provided where applicable. Appointment at Professor rank will be on substantive basis. Appointment at Associate Professor may be with or without substantiation. Initial appointment for Assistant Professor or Associate Professor (without substantiation) will normally be on a three-year contract, renewable subject to mutual agreement.
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.
For more information, please visit the recruitment website (https://gz-faculty-recruitment.hkust.edu.hk/).
Review of applications will continue until all positions are filled.
For questions regarding the recruitment system or general inquiries, please reach us at facultyhire@hkust-gz.edu.cn. For Hub/Thrust specific questions, please address to Society Hub: gzrecruitsoc@hkust-gz.edu.cn or Fintech Thrust: ftect@hkust-gz.edu.cn with subject title of “Faculty Application to FTEC”.
We seek talents in the cutting-edge research in FinTech. Applicants must have PhD degrees in FinTech or related fields, e.g., Computational Mathematics, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research, Optimization, Probability, And Statistics.
Areas of interest include but are not limited to:
Blockchain technologies, smart contracts, and digital currencies
Robo-advising, quantitative investing, and risk management
Machine learning, artificial intelligence, and big data analytics in finance
Technological innovations for financial services
Regulatory issues and challenges in FinTech
Digital economy and financial inclusion