Lecturer- Statistics (Re-Advertisement)

Cape Peninsula University Of Technology; Cape Town; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A higher education institution is seeking a permanent Data Science Lecturer to join their Mowbray campus in Cape Town. The successful candidate will be responsible for lecturing various modules including Machine Learning and Python Programming. Ideal applicants should possess a Master's degree in Data Science and relevant lecturing experience. This role demands strong communication skills and a collaborative spirit.

Qualifications

• Relevant lecturing experience required.
• Necessary knowledge of higher education practices and processes.
• Relevant research experience is essential.

Responsibilities

• Lecturing various Data Science modules.
• Setting and marking of assessments.
• Preparation of study materials.

Skills

Initiative and responsibility

Constructive teamwork

Communication

Education

Masters Degree in Data Science or Equivalent

Job description

Job Description

Job Advert Summary

Eduvos is looking to hire the services of a permanent Data Science Lecturer at our Mowbray campus on a full-time basis.

Type of appointment: Permanent (full-time workhours agreement)

Purpose:

• To lecture Information Technology-related modules in the faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum Requirements

Minimum qualifications required:

• Masters Degree in Data Science or Equivalent

Experience:

• Relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Duties and Responsibilities

Modules to be lectured:

• Scientific Programming in Python
• Machine Learning Algorithms
• Artificial Intelligence Techniques
• Sensors Data Management
• IoT Mining and Analytics
• R Programming for Data Science

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Functional and Behavioural Competencies

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication

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