Associate Lecturer - Machine Learning (HE1)

Singapore Institute of Management Pte Ltd; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

The Singapore Institute of Management (SIM) invites applications for a ST3189 Machine Learning lecturer. The role requires a Ph.D. or masters degree in a related discipline and demonstrated teaching at the tertiary level. Candidates with 5 years of relevant work experience will have an added advantage and must be able to teach daytime classes.

SIM is a leading education and lifelong learning institution in Singapore, offering dynamic programs and opportunities for scholarly activity.

Qualifications

• Ph.D. or Masters degree in a related discipline from a reputable university.
• At least 2 years of relevant teaching experience at the tertiary level is preferred.
• 5 years of relevant work experience will be an added advantage.

Responsibilities

• Teach daytime classes in machine learning and related subjects at the tertiary level.
• Contribute to curriculum development and student assessment.
• Engage in scholarly activities and service within SIM.

Skills

Teaching experience

Machine learning

Statistics

Education

PhD or Masters degree in related discipline

Job description

Job Description: ST3189 Machine Learning

In the last decade there has been a remarkable growth in machine learning. Following recent advances in gathering, storing and managing vast amounts of observations, the ability to process high dimensional data and deal with uncertainty becomes increasingly important. Despite the increase in available information, inference may still lead to false conclusions in the absence of suitable methodology. This course covers a wider range of such model-based and algorithmic machine learning methods, illustrated in various real‑world applications and datasets. The theoretical foundation of the methodology is presented in some cases.

Prerequisite

• ST104a Statistics 1
• ST104b Statistics 2
• MT105a Mathematics 1 and MT105b Mathematics 2, or MT1174 Calculus

Aims and Objectives

• To provide an in-depth introduction to supervised and unsupervised learning.
• To present some of the main models and algorithms for regression, classification and clustering.
• Other topics include Bayesian inference, Monte Carlo methods and dimension reduction.

Assessment

This course is assessed by an individual case study piece of coursework (30%) and a two hour unseen written examination (70%).

Job Requirements

• Ph.D. or Master’s Degree in related discipline from a reputable university.
• At least 2 years of relevant teaching experience at the tertiary level is preferred.
• 5 years of relevant work experience will be an added advantage.
• Applicant must be able to teach day time classes.

Additional Information

We regret that only shortlisted candidates will be notified.

The Singapore Institute of Management (SIM) is a leading education and lifelong learning institution in Singapore.