Lecturer in Data Science & Statistics - Flexible Research

The University of Newcastle; Newcastle City Council; On-site; AUD 121,000 - 144,000; Full time

Benefits offered by this job

Flexible working arrangements

17% superannuation

Annual leave loading

Generous leave entitlements

Wellbeing and support programs

Career development opportunities

Job summary

The University of Newcastle invites applications for a Lecturer in Data Science and Statistics. You will contribute to teaching and research across undergraduate and postgraduate programs at Callaghan Campus, with opportunities to develop an independent research portfolio.

You will build collaborations across disciplines, supervise research students, and help advance priorities in AI, cybersecurity and advanced computing.

Qualifications

• PhD in Data Science, Statistics, Mathematics, or equivalent field.
• Strong publication record relative to opportunity.
• Experience teaching Statistics and Data Science at university level.
• Ability to supervise research students at undergraduate and postgraduate levels.
• Ability to attract industry/government research funding.
• Commitment to outreach, governance and course coordination.

Responsibilities

• Deliver high-quality teaching across undergraduate and postgraduate programs.
• Develop an independent research program in Statistics/Data Science.
• Collaborate across disciplines and supervise research students.
• Contribute to AI, cybersecurity and advanced computing strategies.
• Support School's strategic priorities and engage with industry.

Skills

Data Science

Statistics

Research

Teaching

Student supervision

Education

PhD in Data Science/Statistics/Mathematics or related field

Job description

The University of Newcastle invites applications for a Lecturer in Data Science and Statistics. You will contribute to teaching and research across undergraduate and postgraduate programs at Callaghan Campus, with opportunities to develop an independent research portfolio.

You will build collaborations across disciplines, supervise research students, and help advance priorities in AI, cybersecurity and advanced computing.