Amplify your impact at a world top 50 UniversityBe surrounded by extraordinary ideas - and the people who discover themActuarial Science is a well-established discipline within the Department of Econometrics and Business Statistics at the Monash Business School, offering comprehensive undergraduate, honours, and postgraduate programs. The department plays an active role in the open-source software movement, including contributions to the R Foundation. Our extensive engagement with industry ensures that we maintain a cutting-edge, practical focus that prepares our students for dynamic careers.
The Opportunity Join the pinnacle of academic excellence at Monash Business School and help propel your career in academia. The Department of Econometrics & Business Statistics at Monash University is a global powerhouse with a dynamic team of approximately 50 leading academics and a similar number of PhD students, all with particular strengths in Actuarial Science, Business Analytics, and Econometrics. According to the University of Nebraska Global Research Rankings Business School Actuarial Science Rankings, over the last two years we have improved our world ranking from 36th (based on 2016-2020) to 7th (based on 2000-2024) and our national ranking from 5th to 4th.
The Role: The department is introducing a new specialisation within the Bachelor of Actuarial Science entitled Actuarial Analytics. Preference will be given to candidates conducting data-driven applied research in actuarial science, with expertise in areas such as applied statistics, data science, or machine learning as they relate to actuarial science. Candidates should be prepared to teach across both Actuarial Science and Business Analytics units/subjects, as required.
Key Responsibilities: Conduct high quality and impactful researchPrepare and deliver lectures, workshops, and seminarsSupervise and engage with honours or postgraduate studentsAttend departmental, school, and/or faculty meetingsFulfil committee responsibilitiesAbout You For the Level B Lecturer Role: Qualifications: A doctoral qualification in actuarial science or a closely related discipline (or be close to completing such a doctorate)Research Prowess: Showcase a robust research background with a commitment to top-tier journal publicationsPeople Skills: Possess a high level of interpersonal skills, motivating and actively engaging with students at a tertiary levelFor the Level C Senior Lecturer Role: Credentials: A doctoral qualification in actuarial science or a closely related disciplineScholarly Impact: Demonstrate evidence of high-quality scholarly activity, including publications in top-quality journalsInnovator: Proven track record of obtaining significant external grants for research, coupled with enthusiasm for curriculum developmentAbout Monash University At Monash, work feels different. There's a sense of belonging, from contributing to something groundbreaking – a place where great things happen.
Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.
Be part of our story. Work with us to #ChangeIt. 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 Your application must address the Key Selection Criteria. For further instructions on how to apply, please refer to 'How to apply for Monash Jobs'.
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 [emailprotected] in an email titled 'Reasonable Adjustments Request' for a confidential discussion.
Your employment is contingent upon the satisfactory completion of all pre-employment and background checks required for the role, as determined by the University.
Enquiries: Professor George Athanasopoulos, Head of the Department of Econometrics and Business Statistics, Econometrics & Business Statistics, [emailprotected]
Applications Close: Sunday 19 January 2025, 11:55pm AEDT
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