Lecturer / Senior Lecturer
Job No.: 679733
Location: Caulfield campus
Employment Type: Full-time
Duration: Continuing appointment
Remuneration: $118,974 - $141,283 pa Level B / $145,740 - $168,049 pa Level C (plus 17% employer superannuation)
- Amplify your impact at a world top 50 University
- Join our inclusive, collaborative community
- Be surrounded by extraordinary ideas - and the people who discover them
The Opportunity
An exciting opportunity exists for a Lecturer or Senior Lecturer to join the Department of Econometrics and Business Statistics within the Faculty of Business and Economics. The relevant fields of specialisation for this appointment are operations research, operations management, or a closely related discipline with strong computational and/or mathematical skills with expertise in one of the following areas: Supply chain analytics and logistics optimisation, data-driven optimisation and decision analytics, simulation and modelling of complex systems, business process improvement using data and analytics.
The successful candidate will be responsible for conducting high-quality research and engaging in activities that enhance research impact. In addition to research, the role involves preparing and delivering lectures, workshops, seminars, etc., as part of the department’s business courses. The candidate will also contribute to the development of course materials, collaborating with senior staff to ensure content aligns with academic standards. Serving as a unit/subject coordinator, the individual will oversee the administration and coordination of specific units within the curriculum.
The role requires offering academic support and guidance to students through consultations and advising sessions. Additionally, the candidate will supervise the research projects of honours, master's, or other postgraduate students engaged in coursework. A range of administrative duties related to the subjects taught will also be undertaken, ensuring smooth operation and compliance with institutional policies.
To be considered for this role, you must hold a doctoral qualification in operations research, operations management, business analytics, data science, machine learning, or a closely related discipline. You will have a proven track record of high-quality research and scholarly publications, along with demonstrated ability to deliver engaging lectures, workshops, and seminars, and to develop course materials and assessments.
You will possess excellent interpersonal skills and ability to work independently, while also fostering strong working relationships. You will have experience working in interdisciplinary teams and collaborating with external organisations, including industry partners.
About Monash University
At Monash, work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen.
We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.
Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.
Learn more about Monash.
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Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.
To Apply
For instructions on how to apply, please refer to 'How to apply for Monash Jobs'. Your application must address the Key Selection Criteria.
Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups.
We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion.
Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.
Enquiries: Professor George Athanasopoulos, Head of Department, Econometrics & Business Statistics - George.Athanasopoulos@monash.edu
Position Description:
Lecturer - Level B
Senior Lecturer - Level C
Applications Close: Monday 2 June 2025, 11:55pm AEST
Supporting a diverse workforce