Associate/Full Professor in Statistical Data Science - Job Opportunity at University of Melbourne
AUD 169,094 - 217,805 per year
Benefits
17% employer superannuation contribution - significantly above industry standard
Flexible and family-friendly working arrangements with comprehensive leave policies
Dedicated women's grant scheme showing commitment to diversity
Internal research funding opportunities
Visa sponsorship available for international candidates
Access to world-class research facilities and networks
Key Responsibilities
Lead cutting-edge research initiatives in Statistical Data Science with international impact
Develop and maintain research funding streams through grants and partnerships
Contribute to teaching excellence at graduate and undergraduate levels
Foster collaborative partnerships with industry and professional bodies
Provide strategic leadership in research direction and team development
Drive innovation in statistical methodology and applications
Requirements
Education
Research doctorate in Statistical Data Science or related field
Experience
Demonstrated international standing in data science
Required Skills
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Sauge AI Market Intelligence
Industry Trends
Salary Evaluation
The offered salary range of AUD 169,094 - 217,805 is competitive for Australian academia but potentially below equivalent industry positions. However, the total compensation package including superannuation and benefits is strong for the academic sector.
Role Significance
Likely to lead a research group of 5-10 PhD students and post-doctoral researchers, while collaborating with approximately 90 academic staff across the School.
This is a senior academic position with significant influence over research direction and educational programs. The role carries substantial autonomy and responsibility for shaping the institution's data science capabilities.
Key Projects
Success Factors
Market Demand
Very high demand with limited qualified candidate pool, particularly for individuals who can demonstrate both theoretical depth and practical impact.
Important Skills
Critical Skills
Beneficial Skills
Unique Aspects
Significant research support through ARC Centres of Excellence
Strong existing mathematical and statistical research community
Emphasis on indigenous recognition and engagement
High level of research infrastructure support
Career Growth
Typically 5-7 years in role before progression to higher academic leadership positions
Potential Next Roles
Company Overview
University of Melbourne
The University of Melbourne is one of Australia's leading research institutions with a strong international reputation in mathematics and statistics.
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