Associate Professor / Professor in Statistics or Statistical Data Science

Job Summary

Category
Tenure and Tenure-track Faculty Positions
Institution
Macquarie University
Department
School of Mathematical and Physical Sciences
Number of Positions Available
1
Work Arrangement
In-Person
In-Person Location(s)

North Ryde NSW
Australia

Job Description

The School of Mathematical and Physical Sciences at Macquarie University in Sydney, Australia, is investing significantly in expanding its research capacity in statistics and statistical data science, including in the field of Astrostatistics and Statistical Machine Learning. We are seeking an outstanding candidate for a continuing position as Associate Professor (Level D) or Professor (Level E).

 

The successful candidate will provide leadership and mentorship within the School for the ongoing development of statistics and statistical data science. Leveraging their standing in the field, they will provide a focal point for the future development of statistics at Macquarie University, and establish strong collaborative links within the School’s member disciplines, which includes astronomy.

 

Members of the School are heavily involved in the Macquarie University Astrophysics and Space Technology Research Centre, driving advancements in astrophysics and space science through cutting-edge instrumentation development and complex data-intensive research capabilities. This opens novel opportunities for statistical data scientists to develop data science solutions that contribute to answering big questions about our Universe.

 

Macquarie University is committed to fostering an inclusive and diverse workplace where every individual is valued, respected, and supported. Our School actively promotes diversity and inclusivity through a range of initiatives and support mechanisms overseen by the Equity and Diversity Portfolio. These efforts underscore our dedication to creating an environment where everyone can thrive and contribute to their fullest potential.

 

For further information about the School of Mathematical and Physical Sciences visit our home page.

Compensation and Benefits

Compensation Type
Salary
Currency
323
Compensation Range
$175,731USD to $225,625USD
Included Benefits

17% employer's superannuation; as of 1 July 2024

Compensation Notes

Associate Professor (Level D) Up to $226k including ($175,731 to $193,296 p.a. commensurate with experience and 17% employer's superannuation; as of 1 July 2024) or Professor (Level E) Up to $264k including ($215,440 to $225,625 p.a. commensurate with experience

Application Details

Application Instructions
To be considered for this position, applicants must respond to the selection criteria and submit the requested documents below in the application process. Applications are accepted via the online recruitment system at www.jobs.mq.edu.au.
- A cover letter explaining your interest in and suitability for the position and providing a detailed response to all the essential selection criteria.
- A one page statement of your current and future research and funding vision plus a ½ page statement on your research alignment with research interests and capabilities at Macquarie University.
- A ½ page statement on teaching interests and approach to teaching.
- A curriculum vitae including a full list of publications and the names of two referees.

Essential selection criteria for appointment at Associate Professor (Level D)
- A PhD in statistics, statistical data science or a related discipline.
- Demonstrated and sustained contributions to undertake outstanding research in statistics or statistical data science aligned with School research areas as evidenced by ongoing publications in top-tier journals and evidence of national or international recognition in the discipline.
- Demonstrated and sustained ability to attract external research funding.
- Demonstrated proficiency in teaching and curriculum development at both the undergraduate and postgraduate levels.
- Willingness and capacity to make important contributions to all activities of the School, including administration and planning.
- Demonstrated professional leadership qualities and willingness for executive administrative responsibilities.
- Outstanding communication skills including the ability to work effectively and collaboratively with key internal and external stakeholders.
- Demonstrated ability to mentor and ensure the successful development of HDR, early and/or mid-career academics.

Desirable selection criteria for appointment at Associate Professor (Level D)
- Capability in leading innovation in cross-disciplinary research.
- Capability and willingness to lead a university or external research group/centre.

Essential selection criteria for appointment at Professor (Level E)
- A PhD in statistics, statistical data science or a related discipline.
- Demonstrated outstanding contributions to research in statistics or statistical data science aligned with School research areas as evidenced by ongoing publications in top-tier journals and recognition as an eminent authority in the discipline.
- Demonstrated ability to attract significant and sustained external research funding.
- Proven excellence in teaching and innovative curriculum development at both the undergraduate and postgraduate levels.
- Willingness and capacity to make a substantial contribution to all activities of the School, including administration and planning.
- Demonstrated professional leadership qualities and a capacity for executive administrative responsibilities as evidenced through a record of significant senior administrative and leadership roles within a university or the broader academic community.
- Outstanding communication skills including the ability to work effectively and collaboratively with key internal and external stakeholders.
- Demonstrated ability and experience to mentor and ensure the successful development of HDR, early and/or mid-career academics as evidenced through a significant track record of successful mentoring activities.

Desirable selection criteria for appointment at Professor (Level E)
- Demonstrated experience in leading innovation in cross-disciplinary research.
- Demonstrated experience in leading a university or external research group/centre.
Publication Start Date
2024 May 15
Application Deadline
2024 Jun 16
Reference Code
R000015581

Inquiries

Name
Professor Samuel Muller, Head of School