Associate Lecturer - CSCI316 Big Data Mining Techniques and Implementation (HE8)

Singapore Institute Of Management; Southwest; On-site; SGD 60,000 - 80,000; Part time

Job summary

A leading educational institution is seeking an Associate Lecturer for their course on Big Data Mining Techniques and Implementation. The role involves teaching, supporting tutorials, and guiding students in designing and implementing algorithms in Big Data contexts. Applicants should possess a Ph.D or Master's in a relevant field with experience in teaching and practical application of data mining.

Qualifications

• Minimum of 2 years teaching experience at tertiary level preferred.
• 5 years relevant work experience advantageous.
• Available to teach day or night classes.

Responsibilities

• Teach Big Data Mining techniques and implementation.
• Support year 3 tutorials and laboratory classes.
• Design and implement Big Data algorithms.

Skills

Teaching Experience

Data Mining Techniques

Big Data Algorithms

Education

Ph.D or Master's Degree in related discipline

Job description

Associate Lecturer - CSCI316 Big Data Mining Techniques and Implementation (HE8) page is loaded

Associate Lecturer - CSCI316 Big Data Mining Techniques and Implementation (HE8)

Apply locations Clementi Campus time type Part time posted on Posted 24 Days Ago time left to apply End Date: July 1, 2025 (27 days left to apply) job requisition id JR100830

Subject description

The subject considers the problems related to data mining techniques and implementation in Big Data environment. The topics include data pre-processing techniques, pattern, association and correlation discovery, classification and clustering, stream and real-time processing techniques and post-processing techniques like outlier detection, statistical and, proximity, and clustering base approaches. Laboratory classes and hands-on programming exercises related to these topics will provide the students with the abilities to design and implement Big Data algorithms and to use already existing software libraries. The subject also addresses the problems of scalability, selection of appropriate implementation techniques, and performance aspects when mining Big Data.

Job Requirement
- A 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 available to teach day classes or night classes or both day and night classes
- Supporting year 3 tutorials and lab

We regret that only shortlisted candidates will be notified.

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