Lecturer in Post Graduate Data Science

Lecturer in Post Graduate Data Science

• Be part of a new student centred, industry oriented organisation
• Conveniently located in the CBD of Sydney close to all transport

About Us

The Sydney Polytechnic Institute (SPI) is a TEQSA registered and approved private tertiary education institution opening for teaching in March 2023 in Sydney’s CBD.  We are looking to recruit academic staff who align with our mission and values and who will grow and develop with us over time.

Our vision is to become a highly respected technology-focused higher education institution leveraging strong, collaborative business relationships with local and global industry.  Our Academic Board and Governing Council are made up of academic staff with a broad range of experience in Engineering,  Data Science, ICT and Business across Go8 and non-Go8 universities.

We aim to develop graduates who will be sought after by industry and who have developed the attributes to make outstanding contributions to society and business. We seek to attract outstanding students from diverse backgrounds and expose them to a stimulating and innovative learning environment.

Our values are embedded in Excellence, Reliability, Innovation, and Social Accountability.

Sydney Polytechnic Institute is an equal opportunity employer committed to diversity and inclusion. 

The role

• Fixed term (up to 3 years and renewable)
• Part time (1 day per week initially) with the potential to grow to Full Time.

Initially, this newly created role will be for one day of teaching and teaching-related responsibilities each week. It is anticipated that the role will grow as student numbers increase.

As a lecturer of data science, you will use your sound knowledge and understanding of data science, gained through industry experience and/or scholarly activities to teach subjects to students face-to-face on-campus. You will actively contribute to the successful delivery of teaching and learning to ensure high-quality outcomes.

Key Responsibilities:

• Prepare and deliver learning materials, including the lectures, tutorials, practical classes and workshops as well as assessments.
• Effectively undertake administrative duties related to teaching activities of identified units of study or courses.
• Supervise and guide students in relation to academic matters during and outside (agreed) scheduled teaching times.
• Develop learning resources and course material with appropriate support and oversight from senior academic staff.
• Identify and, where appropriate, address student needs.
• Monitor, evaluate, report on, and assess student progress.
• Refer students to the appropriate channels of support.

A successful candidate will have:

• A PhD in the field of Data Science or a related discipline
• Minimum 1 year of teaching experience and demonstrated high quality of teaching and experience in a teaching role at a higher education institution.
• Demonstrated ability to incorporate industry learnings into teaching and learning approaches.
• Demonstrated ability to coach or mentor students at a tertiary education level.
• Experience with supporting students from a variety of cultural and ethnics backgrounds.
• Demonstrated commitment to teaching through continual development and improving performance.

Interested individuals who can demonstrate their capabilities against the above requirements should submit a copy of their CV and a one-page summary outlining their claim and interest to join us by emailing info@spi.nsw.edu.au by Monday, 20 February 2023. Please note that only shortlisted applicants will be contacted.