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Lecturer, Mathematics (School of Maths & Science)

Salary undisclosed

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Ranked top 20 most attractive employers in Singapore - The Straits Times Singapore's Best Employers 2024.

The job of an academic is challenging but meaningful. Not only will s/he have both the knowledge and working experience, s/he must also possess a passion for working with youths, nurturing and moulding their characters. There will be opportunities to develop curriculum, introduce new courses as well as be involved in consultancy and other applied research projects. Administrative work related to teaching and School/Institutional strategic initiatives will also be an important part of the job. The successful candidates will be expected to be resourceful and innovative with initiative and good communication skills.

The appointee must be competent to teach Mathematics at diploma and higher levels, as well as conduct training for adult learners.

In addition, the appointee should also be able to teach in any one of the following areas:

  • Statistics
  • Data Analytics
  • Computing


The appointee will also be required to teach at least one of the following broad-based, foundational modules under the common core curriculum to enable our students to have the necessary emerging digital skills and human skills.

  • Data Fluency
  • Artificial Intelligence and Its Impact
  • Persuasive Communication with Data Storytelling
  • Problem Solving with Creative and Computational Thinking


What You Will Be Working On

Responsibilities:-

  • Conduct lessons and mentoring of students
  • Develop curriculum and learning materials for modules stated above
  • Deploy effective pedagogy to facilitate learning


What We Are Looking For

Requirements:-

  • Passionate about education and possess good values
  • Team player with the ability to work independently
  • Possess good communication skills, both written and verbal
  • A good degree in Mathematics, Statistics, Physics or Engineering, preferably with a postgraduate qualification in a relevant field
  • Relevant industry experience and/or knowledge of how mathematics is applied in different fields such as Engineering, IT or Data Analytics