Lecturer in Statistical Data Science

• Exciting opportunity for an outstanding academic who is an emerging leader within their discipline
• Located in the School of Mathematics and Statistics, Darlington Campus
• Full-time, five year fixed-term appointment with base Salary Level B $113,184 p.a. - $134,403 p.a. + 17% superannuation

About the opportunity

The School of Mathematics and Statistics is one of the largest mathematical sciences schools in Australia and is world-renowned for its research in pure mathematics, applied mathematics and mathematical statistics. The school attracts a strong body of excellent students as well as a large number of outstanding researchers, many of whom hold Fellowships and grants.

We are currently seeking to appoint an accomplished academic to the position of Lecturer in Statistics. This position has been made possible by the awarding of a NHMRC investigator grant to Prof Jean Yang. To succeed, you will be a talented and well-qualified statistician with expertise in any area that strengthens the school's profile and/or contributes strategically to the University activities, particularly with alignment to the research interests of Prof Yang. This includes, but is not limited to data science, applied statistics and bioinformatics. You will need to have appropriate skills and qualifications as outlined in the position description, including a PhD in a relevant area.

We are looking for a candidate who has the potential to establish relationships with key academic, industry and professional institutions, partners and stakeholders that can be leveraged to enhance the standing of the specialty, school, faculty and University. If appointed, you will be expected to undertake duties consistent with an appointment at the lecturer level (Level B) on the Australian academic scale. This will include: publishing scholarly papers in international peer-reviewed journals and presenting at conferences; supervising undergraduate and postgraduate students; teaching a range of courses to undergraduate students; and applying for external funding.

NOTE: This is a regular 40:40:20 position and will contribute to the applied statistics and statistical science research programs.

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 Statistical Data Science who has:

• a PhD in a relevant area and demonstrated evidence of independent research ability and potential in an area of applied statistics or statistical data science
• evidence of ability, versatility and commitment to excellence in undergraduate teaching, in particular, the ability to connect modern research in Statistics to teaching and engagement opportunities in Data Science
• experience in online teaching and curriculum development that will contribute to statistical consulting and undergraduate major in data science. Including coordinating its development, implementation, and the associated Units of Study
• an independent and active research line in Applied Statistics or Statistical Data Science, compatible with the high standards and aspirations of our school and University
• demonstrated understanding of the incorporation into University life of the principles of Equal Employment Opportunity and Affirmative Action; and ability to work positively with staff and students from a diverse range of backgrounds.

Evidence of administration and course coordination within a university environment and the ability to apply for competitive research funding would be highly desirable.

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.

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

Applications (including a cover letter, CV, your academic transcript, evidence of your University of Sydney enrolment and any additional supporting documentation) can be submitted via the Apply button at the top of the page.

For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Rebecca Astar or Linden Joseph, Recruitment Operations, Human Resources by email recruitment.sea@sydney.edu.au.

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The University reserves the right not to proceed with any appointment.

Click to view the Position Description for this role.

Applications Close

Sunday 11 June 2023 11:59 PM