Lecturer in Statistics
Join a world-class statistics school to teach, research, and lead in both academia and industry collaborations.
Best for:Best for early-career academics with a PhD in statistics or a related field who excel in teaching diverse student groups and have a passion for interdisciplinary research and collaboration.
Overview
The University of Sydney’s School of Mathematics and Statistics is seeking Lecturers in Statistics for two fixed-term positions (5-year and 3-year terms) at its Camperdown Campus. These roles focus on advancing teaching excellence in statistics and data science for diverse student backgrounds while fostering independent research and external partnerships. Ideal candidates will balance pedagogical innovation with high-impact research, contributing to curriculum design, student supervision, and administrative leadership. The positions are designed for early-career academics with a PhD in statistics or a related field, seeking to establish themselves in both teaching and research.
What you'll do
- Design, deliver, and evaluate graduate and undergraduate courses in statistics and data science for students from diverse academic backgrounds.
- Conduct high-quality, independent research in statistics or related fields, contributing to the School’s research output.
- Supervise and coordinate graduate and undergraduate students, fostering academic growth and mentorship.
- Collaborate with colleagues to enhance the School’s administrative and collegial life, including curriculum development and unit coordination.
- Attract and secure external funding to support research and teaching initiatives.
- Engage with industry, government, or external partners to translate statistical methodologies into practical applications.
Requirements
Degree required: PhD (or near completion) in statistics or a closely related field
Language: English; proficiency appropriate for academic teaching and research
Instruction: English
- Proven ability to conduct independent research aligned with university standards
- Strong teaching skills, particularly in statistics and data science for interdisciplinary audiences
- Experience in curriculum design, delivery, and evaluation
- Ability to supervise and mentor students at both graduate and undergraduate levels
- No explicit eligibility restrictions beyond academic qualifications and experience
- Open to all candidates meeting the degree and experience requirements
Funding & terms
How to apply
Deadline: 2026-11-01 (Australia/Sydney)
Submit a cover letter, CV, and any additional supporting documentation via the university’s online application portal. Employees or contingent workers should apply through their Workday account. For confidential discussions or accommodation requests, contact Simon Drew via email.
- Cover letter
- CV
- Additional supporting documentation (if applicable)
Contact
Simon Drew· Recruitment Operations
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