Instructor (Full-Time)

Description

The university is recruiting Full-time Instructor for a new module to be taught in Academic Year 2017/18 (Semester Two or Jan 2018), entitled "Computational Thinking". Computational Thinking (CT) is an important 21st century skill, and a fundamental method for solving complex problems. CT involves problem formulation, solution development, and solution execution and evaluation. This module emphasises the thought process, and the communication and substantiation of the process, rather than focusing on coding and programming methodology (i.e. the implementation of the solution on a computer). Students will learn to apply CT to solve complex problems, and discover new questions that can be explored within, and across, disciplines.

The main responsibilities of the Instructor will include working with the Module Coordinators on planning, revision and updating of the teaching materials. The Instructor will also conduct some face-to-face discussions for small groups of first year students from the Faculties/Schools. The Instructor will engage the students in discussions, facilitate debates and student assignments/projects as well as provide general support to the instructing team, where needed.

Successful candidates are expected to be committed for two years with the extension of the appointment, subject to review of performance at the end of the second year.

Successful candidates are given the opportunity to apply for financial support to pursue part-time higher degrees related to Computational Thinking during their period of employment.

Job Requirements

The candidate should have strong interest and passion for learning and teaching computational thinking. The candidate should be interested in academic interactions with first year undergraduates. The candidate should be self-reflective and proactive about his/her teaching activities, be competent in communicating and engaging students.

Qualifications

Graduates with Master's degree in Computer Science or equivalent are preferred.

Graduates with Master's degrees in related fields and have strong computing or Computational Thinking background are welcome to apply. Those with teaching experience are preferred.

 

All applications and informal enquiries should be sent latest by 13 September 2017 (Wednesday), to Ms Tham Chuey Peng via email address at chueypeng@nus.edu.sg

We regret that only successful candidates will be notified.