Lecturer/Senior Lecturer (equivalent to US Assistant Professor)
Advertiser: Department of Econometrics and Business Statistics, Monash University
Field(s) of specialization: Econometrics - Insurance - Operations Research - Statistics
Position type(s): Assistant Professor
Location of job: See advertisement
Degree required: Doctorate
Job start date: Flexible
Job duration: Continuing/permanent
Letters of reference required: 3
Target date for applications: 30 Nov 2023
Application deadline: 3 Dec 2023 midnight UTC (no longer accepting applications)
Current search status: Reviewing applications
Posting end date: 3 Dec 2023
Interviews: Interviews will be conducted remotely by video starting December, 2023.
Ad text:

We have two openings at the Lecturer/Senior Lecturer level, one specifically in the area of Business Analytics, and another one in any field in Econometrics, Actuarial Science or Business Anaytics.

As a Lecturer/Senior Lecturer, you will contribute to the Department's profile, engage in scholarly activities, play a major role in research and help shape the future of Actuarial Science, Business Analytics and Econometrics.

Key Responsibilities:

  • Conduct high quality and impactful research
  • Prepare and deliver lectures, workshops, and seminars
  • Supervise and engage with honours or postgraduate students
  • Attend departmental, school, and/or faculty meetings
  • Fulfil committee responsibilities

For the Lecturer Role:

  • Qualifications: A doctoral qualification in actuarial science, econometrics, operations research, statistics, data science, machine learning, 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 publications.
  • People Skills: Possess a high level of interpersonal skills, motivating and actively engaging with students at a tertiary level.

For the Senior Lecturer Role:

  • Credentials: A doctoral qualification in actuarial science, econometrics, statistics, data science, machine learning, or a closely related discipline.
  • Scholarly Impact: Demonstrate evidence of high-quality scholarly activity, including publications in top-quality journals.
  • Innovator: Proven track record of obtaining significant external grants for research, coupled with enthusiasm for curriculum development.

Diversity is one of our greatest strengths at Monash. We encourage applications from First Nations people, culturally and linguistically diverse people, people with disabilities, neurodiverse people, and people of all genders, sexualities, and age groups.


Professor George Athanasopoulos, Head of the Department of Econometrics and Business Statistics, Econometrics & Business Statistics, BusEco-EBS.HOD@monash.edu

Submission materials required
  • Curriculum vitae
  • Job market paper
  • Additional paper (optional)
  • Additional paper (optional)
  • Other material (in one file) (optional)
  • Cover letter
  • Video presentation of job market paper (optional)
  • Letters of reference: 3
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