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You will be updated with latest job alerts via emailLecturer / Senior Lecturer
Job No.: 679733
Location: Caulfield campus
Employment Type: Full-time
Duration: Continuing appointment
Remuneration:$118974 - $141283 pa Level B /$145740 - $168049 pa Level C (plus 17% employer superannuation)
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 departments 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 masters 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. Theres a sense of belonging from contributing to something groundbreaking a place where great things happen.
We value difference and diversity and welcome and celebrate everyones contributions lived experience and expertise. Thats why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.
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 toHow to apply for Monash 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 disabilitiesneurodivergent 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 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 DepartmentEconometrics & Business Statistics -
Position Description:
Applications Close:Monday 2 June 2025 11:55pm AEST
Supporting a diverse workforceRequired Experience:
Senior IC
Full Time