Academic Content Developer: Data Science

Job Advert Summary

Eduvos is looking to appoint a suitably qualified and experienced Academic Content Developer specialising in Data Science to develop higher education learning materials and assessments for Data Science and related modules.

Type of role:

Fixed Term 

Purpose of the role:

Develop academically rigorous learning materials and assessments up to fourth-year undergraduate or Honours level, aligned with module learning outcomes and higher education quality standards.

Responsibilities:

As an Academic Content Developer, you would be responsible for the following:

• Develop and update module guides, learning materials, practical activities, and assessments.

• Design coding exercises and data analysis tasks that help students apply theory to practical problems.

• Align content and assessments with module learning outcomes, the applicable NQF level, and Eduvos quality standards.

• Review and revise materials in response to academic and quality assurance feedback.

• Upload and maintain learning materials on the learning management system where required.

• Collaborate with academic staff and meet agreed submission deadlines.

Potential areas of specialisation required:

• Machine learning and artificial intelligence — Machine learning, artificial intelligence, and multi-agent systems.
• Data analytics and visualisation — Time series analysis, big data, data analytics using Python, and data visualisation.
• Programming and scientific computing — Data structures and algorithms using Java or Python, programming in Python or R, and scientific computing in Python.
• Robotics and IoT — Sensor data management, digital image processing, and IoT data mining and analytics.
• Research — Research methodologies relevant to Data Science and related disciplines.

Minimum qualifications required:

• A Master’s degree in Electrical and Electronics Engineering, Computer Science, Data Science, Artificial Intelligence, or a related field.

Minimum experience required:

• Experience in higher education teaching, academic content development, or curriculum design in Data Science, Robotics, or a related discipline.

• Ability to develop academically rigorous learning materials and assessments up to fourth-year undergraduate or Honours level.

• Strong knowledge in relevant areas of specialisation listed below.

Experience developing online or blended learning content would be advantageous.

Technical / Functional Competencies

• Academic writing and editing skills.

• Ability to explain technical concepts clearly and translate them into practical learning activities.

• Proficiency in Microsoft Office and relevant programming or data analysis tools.

• Ability to develop and manage module content on a learning management system such as Moodle

Behavioural Competencies

• Initiative and accountability.
• Constructive teamwork and relationship building.
• Effective verbal and written communication.
• Analytical thinking, sound judgement, and problem-solving.
• Innovation and adaptability.
• Planning, organising, and attention to detail.