Adjunct Lecturer, NUS College
- NATIONAL UNIVERSITY OF SINGAPORE
- 24 Jan 2023
- End of advertisement period
- 23 Feb 2023
- Academic Discipline
- Engineering & Technology, Computer Science, Physical Sciences, Mathematics & Statistics, Social Sciences, Sociology
- Contract Type
- Part Time
NUS College (NUSC) plans to hire dedicated individuals to fill numerous vacancies for the position of Adjunct Lecturers. The primary responsibility is to teach the Computational Problem Solving (CPS) and Reasoning with Data (RWD) modules, to which you will be expected to bring your own academic and intellectual expertise. Further elaborations on the courses below:
Reasoning with Data (RWD)
This course introduces first year NUSC students to the thoughtful use of data to answer questions and assess claims, using various quantitative tools such as statistics. Candidates must hold a PhD in any disciplinary background where quantitative reasoning is essential; in particular, in subjects related to statistics, mathematics, applied sciences, natural sciences, quantitative social sciences, and computing. Prior experience in teaching undergraduates in small classes with students from mixed disciplines will be an advantage. We are especially interested in active scholars who have been involved in interdisciplinary teaching. The primary responsibility will be to co-design and teach Reasoning with Data. Prior knowledge of R is preferable but not essential. Successful candidates are expected to offer 1-2 sections of Reasoning with Data in the academic year.
Computational Problem Solving (CPS)
This course enables NUSC students to learn how computational methods can be used to formulate, solve, and analyse problems that relate to their everyday lives. Candidates must hold a PhD in a computer science, statistics, mathematics, or related fields. Familiarity with algorithms and algorithmic thinking is a must. Prior experience in teaching undergraduates in small classes with students from mixed disciplines will be an advantage. We are especially interested in active scholars who have been involved in interdisciplinary teaching and have experience using computational methods to solve problems in academia or industry. The primary responsibility will be to design and teach Computational Problem Solving. Successful candidates are expected to offer 1-2 sections of Computational Problem Solving in the academic year.
- This adjunct position is a part-time non-tenure-track position.
- Candidate should have a minimum 3 years’ postgraduate experience in the relevant disciplines as specified above
- Candidates who demonstrated relevant entrepreneurial or business achievements preferred
- Prior experience in teaching undergraduates in small classes with students from mixed disciplines will be an advantage.
- Candidates should have strong communication skills, a commitment to teaching excellence and a team-oriented attitude.
How to apply Interested applicants should prepare and submit the following documents when they apply:
- A cover letter, clearly specifying which position they are applying for.
- CV: An abridged CV (5-page maximum), including details on education, employment history, past experience of teaching and supervision, research activities (including publications) and achievements, honours and awards, and service accomplishments.
- Qualifications: Include scanned copies of academic degrees.
- Teaching Portfolio:
- A Teaching Statement that commences with a preface (maximum 300 words) that makes the case for appointment. This should be a highly distilled summary of key contributions to student learning and, if applicable, educational leadership, guided by your teaching philosophy. The rest of the Statement, of not more than 2,000 words, should outline your teaching philosophy and your educational contribution across multiple dimensions and roles. Please include evidence on how you have impact students’ learning experience and outcomes as well as how you have influenced peers and the community.
- Teaching evaluations and peer review reports, if available. Other evidence of teaching excellence and/or other contributions to education, e.g., curriculum development, pedagogical innovation etc., should also be provided.
- TWO referees’ letters. Referees may submit their letters to firstname.lastname@example.org
Please email all enquiries specific to this advertisement to email@example.com.
More information about NUSC and our curriculum can be found on our website: https://nuscollege.nus.edu.sg/
Additional information about Academic Appointments at NUS can be found here: http://www.nus.edu.sg/careers/
At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.
Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.
Location: Kent Ridge Campus
Organization: NUS College
Department : NUS College
Employee Referral Eligible: No
Job requisition ID : 18075