Associate Lecturer - Environmental Applications of Data Management and Statistics (HE4)

Singapore Institute of Management; Singapore; On-site; SGD 83,000 - 138,000; Part time

Job summary

A leading education institution in Singapore is seeking a part-time Associate Lecturer in Environmental Applications of Data Management and Statistics. The role involves teaching techniques for data evaluation, assessing students, and developing skills in statistical software. Candidates should have at least a Ph.D or Master's degree and preferred experience in tertiary education. The position requires availability to teach during weekdays. Only shortlisted candidates will be notified.

Qualifications

• A Ph.D or Master's Degree in related discipline from a reputable university.
• At least 2 years of relevant teaching experience at the tertiary level is preferred.
• Must be available to teach daytime on weekdays.
• Available to teach daytime on weekdays.

Responsibilities

• Introduce techniques for collecting and evaluating data-based evidence in environmental research.
• Assess students based on their performance.
• Develop skills in using statistical software for data display and analysis.

Skills

Statistical software

Descriptive statistics

Data evaluation techniques

Sampling theory

Inferential statistics

Probability theory

Assessment of students

Teaching

Education

Ph.D or Master's Degree

Tools

Statistical software

Job description

You may choose to display a cookie banner on the external site. You must specify the message in the cookie banner and may add a link to a relevant policy. If you are unfamiliar with these requirements, please seek the advice of legal counsel..Associate Lecturer - Environmental Applications of Data Management and Statistics (HE4) page is loaded## Associate Lecturer - Environmental Applications of Data Management and Statistics (HE4)locations: Clementi Campustime type: Part timeposted on: Posted Todaytime left to apply: End Date: January 1, 2027 (30+ days left to apply)job requisition id: JR101100This course introduces techniques for collecting, evaluating, and using data-based evidence in environmental research, including descriptive statistics (measures of centre, variation and shape, and measures of association between two variables), statistical research designs, sampling theory, and fundamental probability theory for inferential statistics. The course also develops skills in using statistical software for data display and analysis.• A Ph.D or Master's Degree in related discipline from a reputable university.• At least 2 years of relevant teaching experience at the tertiary level is preferred• Assessment of students• Must be available to teach daytime on weekdaysWe regret that only shortlisted candidates will be notified.The Singapore Institute of Management (SIM) is one of the region’s leading education and lifelong learning institutions, recognized for empowering individuals and enterprises to thrive across life stages through learning.Seeded by the Singapore Economic Development Board in 1964, SIM has, for close to 60 years, been leading in the development of work and industry skills for Singapore’s growth.Through harnessing new knowledge, skills and technology, SIM provides skills-based learning experiences that enable students, professionals, and enterprises to Learn for Life and Thrive for Life.SIM achieves this through SIM Global Education (SIM GE) and SIM Academy. SIM GE focuses on higher education pathways and SIM Academy focuses on Professional Development (PD)and Enterprise Solutions (ES) for career transitions and advancements, and integrated learning solutions for enterprises.For more information on the Singapore Institute of Management, visit