Assistant Professor in Data Science and Analytics
Full Time/Tenured/Tenure Track Faculty
Education
8 Aug 2024
Verified by Turrior
Content + Source + Freshness • 15 Dec 2025 • 95% confidence
82 / 100
Offer value
High value due to global reputation, strong departmental focus, and competitive remuneration.
- Competitive salary with significant growth potential
- Collaborative environment fostering innovation in teaching
- Reputable institution with robust academic framework
- Ideal for those engaged in practical and scholarly mathematics
Pros
- Working with a globally recognized institution with robust programs.
- Involvement in curriculum development for applied mathematics.
- Strong support for research initiatives and publications.
Cons
- Must manage teaching and research balance.
- Competitive environment may result in intense scrutiny.
- High expectations for publication and funding.
Who it's for
Mid-Career Academia • On-site with options for flexibility
Good fit
- Research-focused individuals in applied mathematics
- Academics passionate about teaching data science
- Candidates looking to engage with industry through academia
Not recommended for
- Those without a substantial mathematical background
- Candidates who prefer not to teach
- Individuals looking for a more theoretical academic path
Motivation fit
Driven to engage in substantial research and mentorship.Interest in curriculum development and student success.Commitment to collaboration within a diverse academic community.
Key skills
Teaching and mentoring in applied mathematics.Research capabilities in data science and analytics.Interdisciplinary collaboration with other departments.
Score: 82/100 AI verified analysis
About the job
THE HONG KONG POLYTECHNIC UNIVERSITY
With over 85 years of rich heritage, The Hong Kong Polytechnic University (PolyU) has evolved alongside society and made pivotal contributions to the development of Hong Kong, the Nation and the world. The University pursues world-class excellence in education, research and knowledge transfer to nurture socially responsible leaders and professionals, as well as to drive impactful research and innovation. PolyU will strive to continually excel as an innovative world-class university that makes a positive impact on society, living up to the Universityâs motto: âTo learn and to apply, for the benefit of mankindâ.
Ranked among the top 100 universities globally by well-known ranking organisations such as Quacquarelli Symonds (QS), Times Higher Education (THE) and U.S. News & World Report, PolyU offers a wide range of world-class educational and research programmes in six faculties and three independent schools. PolyU has furthermore achieved remarkable results in the latest QS World University Rankings by Subject 2024 â it is ranked in the global top 20 for five subjects, is first in Hong Kong for four subjects, and is in the global top 100 for 21 subjects.
DEPARTMENT OF APPLIED MATHEMATICS
Assistant Professor in Data Science and Analytics (Ref. 240808007)
The Department of Applied Mathematics (AMA) is part of the Faculty of Science. The Department offers Bachelor of Science Scheme in Data Science, and makes a significant contribution to most of other academic programmes of the University by providing service teaching. It also offers master programmes in Applied Mathematics for Science and Technology with specialisms in Actuarial and Investment Science, Operational Research and Risk Analysis, Data Science and Analytics, and Quantitative Finance and FinTech. Members of the Department have expertise in applied optimization and optimal control, engineering computation, operational research, management science and applied statistics, FinTech, data science and machine learning. There are currently 49 academic staff and about 190 research personnel in the Department. Please visit the website at http://www.polyu.edu.hk/ama for more information about the Department.
The Department has established a Joint Laboratory of Applied Mathematics with the Academy of Mathematics and Systems Science of the Chinese Academy of Sciences. The appointee is expected to be actively involved in the activities of the Laboratory.
Duties
The appointee will be required to:
(a) teach and contribute to curriculum development at undergraduate and postgraduate levels;
(b) supervise MPhil and PhD students;
(c) engage in scholarly research, consultancy and other scholarly activities leading to publications in top-tier refereed journals and award of research grants;
(d) undertake academic and departmental administrative duties; and
(e) perform any other duties as assigned by the Head of the Department or his delegates.
Qualifications
Applicants should:
(a) have a PhD in Mathematics / Statistics / Financial Mathematics / Operations Research / Computational Mathematics / Applied Mathematics or a closely related field;
(b) have expertise in applied statistics, operation research or mathematics;
(c) have an established track record in research and scholarship, including refereed publications and external grant applications;
(d) have a demonstrated commitment to excellence in teaching; and
(e) be highly proficient in written and spoken English.
Conditions of Service
A highly competitive remuneration package will be offered. Initial appointment will be on a fixed-term gratuity-bearing contract. Re-engagement thereafter is subject to mutual agreement. For general information on terms and conditions for appointment of academic staff in the University, please visit the website at https://www.polyu.edu.hk/hro/docdrive/careers/doc/Prof.pdf.
Application
Please submit an application through PolyUâs career website (https://jobs.polyu.edu.hk/academic). Consideration of applications will commence on 29 August 2024 until the position is filled. The Universityâs Personal Information Collection Statement for recruitment can be found at https://www.polyu.edu.hk/hro/careers/pics_for_recruitment/.
PolyU is an equal opportunity employer committed to diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, nationality, family status or physical or mental disabilities.
