LECTURER - STATISTICS AND QUANTITATIVE METHODS

Curtin University Malaysia; Miri; On-site; MYR 72,000 - 96,000; Full time

Job summary

Curtin University Malaysia invites applications for a Lecturer in Statistics and Quantitative Methods. The role involves delivering high-quality undergraduate and postgraduate teaching, supervising students, and pursuing research aligned with Faculty priorities.

You will contribute to curriculum development, engage with industry, and provide academic leadership at department level. A PhD in a related field and a track record in teaching and research are expected.

Qualifications

• PhD in Statistics, Applied Statistics, Data Science or related field.
• Experience teaching business statistics or quantitative methods at tertiary level.
• Scholarly activity per AACSB criteria (journals, grants, supervision).
• Emerging record in scholarship in teaching; supervision of higher degree students.

Responsibilities

• Deliver undergraduate and postgraduate teaching in face-to-face and online modes.
• Supervise undergraduate and postgraduate research projects and theses.
• Contribute to curriculum development and continuous improvement.
• Engage with industry and professional bodies; provide academic leadership.

Skills

Statistics

Quantitative Methods

Data Analytics

Academic Leadership

English Communication

Education

PhD in Statistics or related field

Tools

R

RStudio

Python

Stata

SAS

MATLAB

Excel

SPSS

Job description

LECTURER - STATISTICS AND QUANTITATIVE METHODS

Department: Accounting & Finance
Appointment Type: Contract (Teaching & Research Focused)

Role Overview

The Faculty of Business invites applications for a Lecturer in Statistics and Quantitative Methods. The successful candidate will contribute to high‑quality undergraduate and postgraduate teaching, student supervision, and impactful research aligned with Faculty priorities. The role also involves academic service, collegial engagement, and external community collaboration.

Key Responsibilities

Teaching & Supervision

• Deliver engaging undergraduate and postgraduate teaching in face‑to‑face and online modes.
• Design, assess, and provide timely feedback on student learning.
• Supervise undergraduate and postgraduate research projects.
• Contribute to curriculum development and continuous improvement initiatives.

Research & Scholarship

• Conduct high‑quality research and maintain an active publication record.
• Develop research proposals and seek competitive research funding.
• Supervise Master’s and PhD research students.
• Contribute to scholarship of teaching and learning.

Service & Engagement

• Contribute to academic service at department and faculty levels.
• Demonstrate collegiality and effective teamwork.
• Engage with industry, professional bodies, and the wider community.
• Provide academic leadership appropriate to appointment level.

Qualifications & Experience

• A PhD in Statistics, Applied Statistics, Data Science, Quantitative Methods or a closely related discipline.
• Demonstrated experience teaching business statistics, quantitative methods, research methods or related subjects at tertiary level.
• Demonstrated sufficient academic maintenance activities for a scholarly academic according to AACSB criteria (e.g. journal, book, conference publications, grants, editorial, conference and reviewer activities, master and PhD supervision).
• An emerging record of contribution to scholarship in teaching.
• Experience in supervising higher degree research students.
• Research output in quality refereed academic journals (aligned with AACSB standards).
• Proven ability to develop research funding proposals.
• Strong knowledge and expertise in Statistics, Quantitative Methods, Data Analytics and related disciplines.
• Proficiency in statistical and analytical software such as R, RStudio, Python, Stata, SAS, MATLAB, Microsoft Excel, SPSS, or equivalent analytical tools.
• Proficiency in online teaching tools and a strong understanding of pedagogical and contemporary educational practice relevant to the discipline.
• Strong written and verbal communication skills in English.
• Strong interpersonal skills with cross‑cultural sensitivity.
• Ability to work effectively in a collegial, supportive academic environment.
• Professional or industry experience in statistics, business analytics, data science, or quantitative analysis is desirable.
• Experience using digital learning technologies and learning management systems in higher education is desirable.
• Professional membership or certification in a relevant discipline will be an added advantage.

Only shortlisted candidates will be notified.

Disclaimer:

Curtin (Malaysia) Sdn Bhd reserves the right at its discretion to withdraw from the recruitment process, not to make an appointment, or to appoint by invitation, at any time.