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Assistant Professor/ Lecturer In Statistics

Assistant Professor/ Lecturer in Statistics

Faculty/Department: Institute of Actuarial Science and Data Analytics

Campus: Kuala Lumpur


At UCSI’s Institute of Actuarial Science and Data Analytics (IASDA), we challenge our students at an early stage to benchmark themselves against the best in the world. This sees them competing against and even surpassing other students and even working professionals in exams, competitions and the working world itself. The Institute regularly receives positive feedback from employers on the capability, professionalism and innovativeness of our graduates.

IASDA is recognised by professional accrediting bodies such as FAA, IFoA, and SoA that provide professional certification as well as exemptions to students. The Institute has produced numerous quality graduates and we are proud to share that one of our students who was only in his third year of the actuarial science programme became the first Malaysian student to obtain the Associate of Canadian Institute of Actuaries (ACIA). Besides this, few of our students passed all five preliminary exams set by the Society of Actuaries (SoA) in record.

IASDA will give you the rewarding study experience that you desire. You will learn from the best and study with high achievers. You will make your mark even before you graduate. If this is your ambition, then get ahead here at UCSI.


Responsibilities

  • To prepare teaching and learning materials in accordance with the course content and additional materials necessary for delivery and discussion.
  • To actively involved in research.
  • To prepare and grade assessments as stipulated in each offered course.
  • To counsel students pertaining to their academic and career.
  • To conduct public seminars on contemporary issues when necessary.
  • To take part in major public exhibitions, open days and road shows when required.
  • To perform relevant administrative tasks as and when required.


 

  • Applicant must possess a PhD in Statistics.

  • ​Applicant must have at least 5 years of working experience in the related field.

  • Good communication, presentation and interpersonal skills and abilities.



Requirements

  • Applicant must possess a PhD in Statistics.
  • Applicant must have at least 5 years of working experience in the related field.
  • A strong research and publication track record. 
  • Minimum Scopus/Wos H-index: 3.
  • Good communication, presentation and interpersonal skills and abilities.

Deadline: 30 Jun 2026 | Last Update: 17 Oct 2025

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