Senior Lecturer, AI & Data Analytics (Hybrid)

Singapore University of Social Sciences (SUSS)

Singapore

Hybrid

SGD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive pay
Hybrid work
Medical benefits
Flex benefits
Family leaves
Volunteer leaves
Wellness activities
Lifelong learning
Career development through internal le

Job summary

Singapore University of Social Sciences (SUSS) invites applications for full-time analytics faculty within the School of Business (SBIZ). The role emphasizes teaching, course development, and active research, with engagement in industry projects and outreach outside the university.

Ideal candidates hold a Ph.D. in a relevant field and have teaching or industry experience in Business Analytics, AI, ML, data ethics, or big data, bridging technical and business applications.

Qualifications

  • Ph.D. degree holder in a relevant discipline. Ph.D applicants nearing completion will also be considered.
  • Applicant with teaching and/or working experience in the relevant area will have an added advantage.

Responsibilities

  • Teaching and developing courses within the Analytics discipline of SBIZ.
  • Conducting academic and/or applied research and publishing results.
  • Engaging in service activities for SUSS and externally, including outreach to industry.
  • Involvement in industry projects and collaboration with external partners.

Skills

Business Analytics
Artificial Intelligence in Business
Machine Learning
Data Management & Ethics
Big Data Analytics
AI Programming

Education

PhD in relevant discipline

Job description

Singapore University of Social Sciences (SUSS) invites applications for full-time analytics faculty within the School of Business (SBIZ). The role emphasizes teaching, course development, and active research, with engagement in industry projects and outreach outside the university.

Ideal candidates hold a Ph.D. in a relevant field and have teaching or industry experience in Business Analytics, AI, ML, data ethics, or big data, bridging technical and business applications.

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