Lecturer, Quantitative Reasoning Programme

Employer
National University of Singapore, University Scholars Programme
Location
Singapore
Salary
Competitive Salary
Posted
Jan 06, 2021
Employment Level
Non-Tenured Track
Employment Type
Full Time

The University Scholars Programme (USP), a premier undergraduate honours programme at the National University of Singapore, one of Asia’s leading research universities, is looking for a full-time lecturer to teach Quantitative Reasoning (QR) through a topic-based course of your own design.

The USP is an interdisciplinary programme that partners with 7 different faculties: Arts and Social Sciences, Engineering, Science, Business, Computing, Design and Environment, and Law.  The goal of the USP QR initiative is to develop rigorous and intellectually challenging courses that teach students how to understand and to critically think about the logic of quantitative reasoning, as well as how to apply QR tools in addressing real-world problems. Instructors will design their own classes on topics of interest to them. Working with the other QR instructors to guide the growth of the QR programme within USP, instructors will maintain a set of common goals to be taught across all QR courses.

The position is on a non-tenure Educator Track, contracted for three years in the first instance and renewable subject to good performance. There is the possibility of progressing to an open-contract Associate Professor position on the Educator Track. Classes are capped at 25 students. The appointee will also have the opportunity to develop and teach non-QR modules in USP.

Remuneration and benefits, including research funding opportunities to support disciplinary scholarship and strength in pedagogy that can translate into good teaching, are highly competitive on the global research university level.

Candidates must hold a PhD in any disciplinary background where quantitative reasoning is essential; in particular, in subjects related to applied sciences, natural sciences, social sciences, computing, AI and data analytics.  Prior experience in teaching undergraduates in classes with students from mixed disciplines will be an advantage. We are especially interested in active scholars who have been involved in interdisciplinary teaching.

Interested applicants should submit only the following five documents as their initial application package:

  • a cover letter;
  • a résumé;
  • a one-page statement of the principles that underlie their teaching;
  • a one-page plan for first-year course that meets the goals listed above, targeting a mixed group of dynamic undergraduates from diverse disciplinary backgrounds. The plan should articulate a central question that the module will seek to address including the quantitative techniques that students will learn.

We are looking for candidates who can begin in July 2021.  Completed applications received by 31 January 2021 will receive full consideration.  Shortlisted applicants will be asked to provide further information.

Please send applications to: https://careers.nus.edu.sg/NUS/job/Lecturer/3478844/

More information about the USP and QR can be found on our website: http://usp.nus.edu.sg/.  More information about careers at NUS can be found on the NUS careers website:  http://www.nus.edu.sg/careers/