"Lecturer/Senior Lecturer in Computer and AI-Assisted Mathematics"

Role type: Continuing, Full-time

Faculty: Faculty of Science

Department/School: School of Mathematics and Statistics

Salary: Level B - AUD $122,212 - $145,121 p.a. or Level C - AUD $149,701 - $172,613 p.a. plus 17% super (retirement savings system/pension scheme)

Pioneer computational methods in mathematics / Collaborate across diverse disciplines. Apply now to join a world class School of Mathematics and Statistics and drive innovation in computational approaches. Investing in your benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.

As a Lecturer/Senior Lecturer in Computer and AI-Assisted Mathematics at the University of Melbourne, you'll have the opportunity to lead groundbreaking research in modern computational approaches for pure mathematics and mathematical physics. You'll develop and maintain a high-level research program, teach mathematics to diverse audiences, and supervise research students at all levels. This role offers you the chance to collaborate with researchers across various disciplines and make significant contributions to your field.

Your responsibilities will include:

• Conduct Innovative Research: Lead research projects, publish in top-quality outlets, and secure external research grants in computational mathematics.
• Deliver Excellence in Teaching: Develop and deliver engaging lectures, supervise postgraduate students, and contribute to curriculum development.
• Foster Collaboration and Engagement: Participate in research seminars, build international research links, and contribute to public awareness of mathematical developments.
• Provide Academic Leadership: Undertake administrative functions, participate in school committees, and contribute to the academic affairs of the School.

You may be a great fit if: You are an accomplished mathematician with expertise in modern computational approaches, demonstrating research excellence, teaching ability, and a commitment to advancing the field through innovative methods and collaborations.

You may also: Hold a PhD in mathematics or a closely related discipline. Have a strong publication record in top-quality outlets in pure mathematics, applied mathematics, or mathematical physics. Possess expertise in modern computational methods such as machine learning or automated proof systems. Demonstrate the ability to secure research funding and develop international research links. Excel in teaching mathematics at undergraduate and postgraduate levels. Have experience or potential in supervising graduate students. Possess excellent communication skills and the ability to work collaboratively.

What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment, including: Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being. Progressive, considerate leave provisions to empower your work-life balance. Salary packaging and access to a range of discounted services including Bupa health insurance. Health and well-being services including a leading Employee Assistance Program. For more information check out our benefits page!

Your new team – School of Mathematics and Statistics: The University of Melbourne's School of Mathematics and Statistics is a leading institution in Australia, renowned for its high-quality research and teaching programs. With a diverse staff of 162 members, including 90 continuing teaching and research staff, the School offers a wide range of subjects to undergraduate and postgraduate students. In 2023, it hosted 332 higher degree students across research and coursework programs. The School boasts impressive research credentials, with 10 staff members inducted as Fellows of the Academy of Science. It has a strong track record in securing competitive research grants, including hosting an ARC Centre of Excellence, an ARC Industrial Transformation Training Centre, and numerous ARC Fellows. The School provides robust infrastructure support for research and maintains strong international collaborative links, aligning with the University's goal of developing a strong global profile.