Lecturer - Data Science

Perth, Western Australia
Full time continuing position with relocation
On-going career development
Interactions with industry, defence and academic partners

Job Number 315221

Full-time continuing role

ALB $99,530 - $118,115 plus 17% superannuation and relocation

About Us
Curtin University is ranked in the top 1% of universities worldwide (ARWU 2018 and QS World University Rankings 2019), and is placed 20th in the world for universities less than 50 years old (QS Top 50 Under 50 2019).

School of Electrical Engineering
The School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) was formed in 2018 combining the quantitative disciplines across the Faculty of Science and Engineering, marrying Curtin’s expertise in Computational Sciences, Electrical & Electronic Engineering, Quantum Physics and Astronomy.

EECMS has a vibrant research culture and an active approach to learning, and teaches practically oriented undergraduate courses that are highly regarded by industry. The teaching and research programs in EECMS underpin the Curtin Institute of Computation, the Curtin-led ARC Industrial Training Centre for Transforming Maintenance through Data Science, the Curtin-CISCO Centre for Networks and the Curtin-Optus Research Centre for Artificial Intelligence.

Our School is committed to making tomorrow better. It is a beacon for innovation, driving advances in technology through high impact research and offering more than 100 practical, industry aligned courses to the workplaces of tomorrow.

Your new role

As Lecturer, you will conduct research and deliver lectures, practical and tutorial classes, particularly in areas of direct relevance to predictive analytics, applied statistics, and computational methods at undergraduate and postgraduate level.  

Your teaching will be underpinned by an active research program involving a mix of both fundamental contributions to new data science and statistical methodologies, and demand-driven research with industry, government, and other disciplines beyond the mathematical sciences. By fostering strong external partnerships, you will pursue innovative research that drives real-world impact and inspires students.


We offer you:

  • Interactions with industry, defence and academic partners.
  • Flexible working environment with great work life balance.
  • Competitive remuneration package to include, salary packaging, leave loading and the ability to purchase additional leave.
  • Easily accessible location with great parking, bus station and end of trip facilities.
  • Opportunities to attend conferences both within Australia and Overseas.


Selection Criteria

  • A PhD or equivalent in mathematics, statistics, or related discipline.
  • Demonstrated research excellence commensurate with experience level, including a strong record of peer-reviewed publications in data science and applied statistics.
  • Demonstrated ability or potential to supervise honours, masters and PhD students.
  • A track record of success in undergraduate and postgraduate teaching and unit coordination in data science and applied statistics, with the potential to contribute to curriculum development.
  • Demonstrated ability or potential to establish demand-driven research programs with industry, government, and non-mathematical disciplines.
  • Potential to attract external funding through grant applications and consulting.
  • Demonstrated ability to establish and maintain professional relationships across the university and externally with industry, government, and professional bodies.
  • Excellent written and oral communication skills in English.
  • Ability and willingness to deliver offshore teaching at overseas partner institutions when and where required.


Next steps

Please apply on-line with your resume, cover letter and selection criteria.

APPLY NOW


Applications close: 9PM WST 2nd March 2020

Contact details for a more detailed discussion
Professor Ryan Loxton
Discipline Lead – Mathematics and Statistics
Phone:  +61 8 9266 9218
Email:  This email address is being protected from spambots. You need JavaScript enabled to view it.

If you have a query in relation to the application process please contact our careers team on This email address is being protected from spambots. You need JavaScript enabled to view it. or call Laura Keenan on 08 92664640.

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