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Level A or B Lecturer in Postgraduate Data Science

Sydney (Region), New South Wales (AU)
Closing date
27 Mar 2024

Level A or B Lecturer in Postgraduate Data Science

  • Be part of a new student centred, industry oriented organisation.
  • Conveniently located in the CBD of Sydney close to all transport.
  • Teaching focused fixed-term role.


About Us

The Sydney Polytechnic Institute (SPI) is a TEQSA registered and approved private tertiary education institution that opened for teaching in June 2023 in Sydney’s CBD. We are looking to recruit academic teaching 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 consist of academics and business professionals with a broad range of experience in Engineering, Data Science, ICT and Business from Go8 and non-Go8 universities and industry.

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 (period to be agreed with renewal possible)
  • Part time (1-3 days per week initially) with the potential to increase to full time.

Initially, this role will be for two to three days of teaching and teaching-related responsibilities each week. It is anticipated that the role will grow as student numbers increase.

As a lecturer in 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 have particular experience in teaching some or all of the following areas - artificial intelligence, machine learning, deep learning, data visualization, cloud computing and big data.

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 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 2 years of teaching experience in a teaching role at a higher education institution.
  • Demonstrated success in delivering quality teaching.
  • Experience in teaching data science and some or all of the following areas - artificial intelligence, machine learning, deep learning, data visualization, cloud computing, and big data.
  • 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 your claim and interest to join us. Please note that only shortlisted applicants will be contacted.

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