A leading educational institution is seeking a part-time Associate Lecturer in Data Visualisation to facilitate learning and conduct weekly virtual lectures. The role involves grading assignments and providing feedback. Ideal candidates should have a PhD or Master's degree and relevant teaching experience. Join a dynamic team and contribute to shaping the future of data visualization education. Apply today!
Qualifications
A minimum of 2 years of relevant teaching experience at the tertiary level.
5 years of relevant work experience is an added advantage.
Write assessment briefs with analytic rubrics.
Grade assignments and provide feedback.
Participate in teaching team meetings.
Respond to student inquiries promptly.
Provide learning support through consultations.
Prepare marking samples and module reports analyzing student performance.
Responsibilities
Facilitate students’ learning and discussion forum on the online platform.
Conduct weekly virtual lectures or workshops.
Grade and provide feedback on assignments submitted by students.
Grade and provide feedback on assignments.
Participate in teaching team or assessment meetings.
Respond to student’s enquiries in a timely manner.
Provide learning support through individual or small group consultation.
Prepare marking samples and module reports with analysis of student performance.
Skills
Teaching experience
Data visualization
Communication
Education
PhD or Master's Degree in a related discipline
Tools
Tableau
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 - Data Visualisation (HE4) page is loaded## Associate Lecturer - Data Visualisation (HE4)locations: Clementi Campustime type: Part timeposted on: Posted Todaytime left to apply: End Date: December 31, 2026 (30+ days left to apply)job requisition id: JR101058The field of information visualisation has expanded rapidly with many designers generating new forms of charts through which to view data. By accurately representing data using appropriate charts, the intended audience can make their own interpretations of the data and identify emerging patterns and themes that are more readily recognisable in chart form than in the form of raw data. This module introduces the terminology, concepts, and techniques behind visualising data. Students will use Tableau to get hands-on experience of creating visual representations of data. The module covers the design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making.Job Description: 1. Facilitate students’ learning and discussion forum on the online platform 2. Conduct weekly virtual lecture or workshop 3. Write assessment brief with detailed analytic marking rubrics 4. Grade and provide feedback on assignments submitted by students 5. Participate in teaching team or assessment meetings 6. Respond to student’s enquiries in a timely manner 7. Provide learning support through individual or small group consultation 8. Prepare marking samples and module report with analysis of student performance Job requirement:- A PHD or Master's Degree in related discipline from a reputable university - At least 2 years of relevant teaching experience at the tertiary level - 5 years of relevant work experience will be an added advantageWe regret that only shortlisted candidates will be notified.We 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