Lecturer in Data Science @USydney

Closing date: 2 June 2024
Campus: School of Mathematics and Statistics at the Camperdown Campus, The University of Sydney
Position: Lecturer / Senior Lecturer in Data Science
Remuneration: Level B $118,390–$140,586 p.a.+17% superannuation
Status: Full Time Fixed Term Contract until 2027.
Reference>: 0117330

About the opportunity

Opportunity for a Lecturer in Data Science to join The School of Mathematics and Statistics of the University of Sydney, one of the largest mathematical sciences schools in Australia. The University of Sydney is the only Australian university to have received the highest rating of 5 out of 5 for research in the mathematical sciences in every Excellence in Research for Australia assessment to date.

As a Lecturer in Data Science, you will have the opportunity to make a significant contribution to teaching and learning design, delivery, and evaluation while continuing to build your research contribution, expertise and impact. You will also benefit from our supportive community of world-class mathematicians and statisticians.

Your key responsibilities will be to:

  • contribute to in the development, implementation, and promotion of mathematical/statistical education programs at the School of Mathematics and Statistics
  • work and collaborate on teaching programs and research with Academic and Professional staff at the University of Sydney
  • make a significant contribution to the research, education and administrative endeavors of their school/faculty while building their reputation as an authoritative figure in the discipline.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Lecturer in Data Science who has:   

  • a PhD or a doctorate in Mathematics, Applied Mathematics, Statistics, or related field
  • an outstanding track record of publishing their research in areas of data science, optimization, or applied mathematics
  • evidence of ability, versatility and commitment to teaching
  • experience supervising students
  • a developing knowledge and understanding of the key strategic issues in the discipline and higher education sector.  

Note: Please be advised that there will be a on campus panel interview held in end of June.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

EEO statement

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ.

We welcome applications from candidates from all backgrounds.

How to apply

All applications must (include a cover letter, CV, and any additional supporting documentation) as per the details mentioned in the advert, can be submitted via the Apply button at the top of the page. 

If you are a current employee of the University or a contingent worker with access to Workday, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

Contact Information

For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Faiza Khan, Recruitment Operations, by email to Faiza.khan@sydney.edu.au

For more information and to apply: https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Lecturer-in-Data-Science_0117330-2

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