Confidential
Open-rank faculty Positions in Fintech, AI, Financial Engineering, Machine Learn
Confidential, San Francisco, California, United States, 94199
Overview
Open-rank faculty Positions in Fintech, Financial Engineering, AI, Machine Learning, Data Science
To be considered for an interview, please make sure your application is full in line with the job specs as found below. Department: Financial Technology Thrust, The Hong Kong University of Science and Technology (Guangzhou) HKUST Guangzhou Campus (HKUST(GZ)) aims to forge cross-disciplinary education and research across disciplines to address emerging challenges. HKUST(GZ) offers a unique environment with four trans-disciplinary hubs and sixteen thrust areas, with English as the medium of instruction and administration. The campus is located in Nansha District, Guangzhou, in the Greater Bay Area. Job Posting Details: The Financial Technology Thrust of the Society Hub of HKUST Guangzhou invites applications for tenure-track/tenured positions at all ranks (Assistant Professor / Associate Professor / Professor) in FinTech. For more information about the Fintech Thrust, please refer to the HKUST Guangzhou recruitment pages. Qualifications Applicants must have PhD degrees in FinTech or related fields, such as Computational Mathematics, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research, Optimization, Probability, and Statistics. Areas of Interest
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 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) is normally a three-year contract, renewable subject to mutual agreement. Application Procedure Please submit the application via the HKUST/HKUST(GZ) Recruitment System. You should first sign up to create your personal account. For more information, please visit the recruitment website or the related HKUST pages. Contact and Inquiries Review of applications will continue until all positions are filled. For questions regarding the recruitment system or general inquiries, please reach us at the listed email. For Hub/Thrust specific questions, please address to Society Hub or Fintech Thrust with the subject title “Faculty Application to FTEC”. Notes We seek talents in cutting-edge FinTech research. Areas of interest and required fields are as listed above.
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Open-rank faculty Positions in Fintech, Financial Engineering, AI, Machine Learning, Data Science
To be considered for an interview, please make sure your application is full in line with the job specs as found below. Department: Financial Technology Thrust, The Hong Kong University of Science and Technology (Guangzhou) HKUST Guangzhou Campus (HKUST(GZ)) aims to forge cross-disciplinary education and research across disciplines to address emerging challenges. HKUST(GZ) offers a unique environment with four trans-disciplinary hubs and sixteen thrust areas, with English as the medium of instruction and administration. The campus is located in Nansha District, Guangzhou, in the Greater Bay Area. Job Posting Details: The Financial Technology Thrust of the Society Hub of HKUST Guangzhou invites applications for tenure-track/tenured positions at all ranks (Assistant Professor / Associate Professor / Professor) in FinTech. For more information about the Fintech Thrust, please refer to the HKUST Guangzhou recruitment pages. Qualifications Applicants must have PhD degrees in FinTech or related fields, such as Computational Mathematics, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research, Optimization, Probability, and Statistics. Areas of Interest
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 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) is normally a three-year contract, renewable subject to mutual agreement. Application Procedure Please submit the application via the HKUST/HKUST(GZ) Recruitment System. You should first sign up to create your personal account. For more information, please visit the recruitment website or the related HKUST pages. Contact and Inquiries Review of applications will continue until all positions are filled. For questions regarding the recruitment system or general inquiries, please reach us at the listed email. For Hub/Thrust specific questions, please address to Society Hub or Fintech Thrust with the subject title “Faculty Application to FTEC”. Notes We seek talents in cutting-edge FinTech research. Areas of interest and required fields are as listed above.
#J-18808-Ljbffr