Lecturer, Technology & Analytics: AI & Data

Singapore Polytechnic

Singapore

On-site

SGD 66,000 - 96,000

Full time

13 days ago
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Job summary

Singapore Polytechnic seeks a lecturer in the School of Mathematical Sciences & Analytics to lead education in Technology and Analytics, including AI, Data Science, Data Analytics, Data Visualization and Quantum Computing. You will also contribute to Mathematics, Statistics or Programming, and interdisciplinary modules such as Data Fluency and Data Storytelling.

Beyond teaching, you will develop and review course materials, stay current with trends in AI and data fields, and participate in

Qualifications

  • Passionate about education and possess strong interest in teaching and mentoring students.
  • Self-driven, independent and readiness to work as a team.
  • Relevant qualification in Mathematics, Statistics, Physics or Engineering.
  • Relevant industry experience and/or knowledge of how statistics is applied in different fields such as Data Analytics, Engineering or IT.
  • People-oriented with strong interpersonal, written and communication skill.

Responsibilities

  • Teach in Technology and Analytics, focusing on Artificial Intelligence, Data Science, Data Analytics, Data Visualisation and Quantum Computing.
  • Teach in complementary areas such as Mathematics, Statistics or Programming.
  • Teach interdisciplinary modules like Data Fluency, AI and Its Impact, Persuasive Communication with Data Storytelling, Problem Solving with Creative and Computational Thinking.
  • Develop and review course materials and assessments to enhance student learning and employability.
  • Undertake project and consultancy work with internal and external stakeholders, applying expertise in real-world contexts.

Skills

Passion for education
Teaching
Independent & team player
Mathematics
Statistics
Physics
Engineering
Interpersonal skills
Communication skill

Education

Mathematics/Statistics/Physics/Engineering

Job description

Singapore Polytechnic seeks a lecturer in the School of Mathematical Sciences & Analytics to lead education in Technology and Analytics, including AI, Data Science, Data Analytics, Data Visualization and Quantum Computing. You will also contribute to Mathematics, Statistics or Programming, and interdisciplinary modules such as Data Fluency and Data Storytelling.

Beyond teaching, you will develop and review course materials, stay current with trends in AI and data fields, and participate in

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