Job No.: 664026

Location: Caulfield campus

Employment Type: Full-time

Duration: Continuing appointment

Remuneration: $111,603 – $132,529 pa Level B / $136,711 – $157,637 pa Level C / $164,615 – $181,348 pa Level D (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

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 statistics and econometrics.

Why Us?

  • Global Recognition: We are a force to be reckoned with, globally acknowledged for groundbreaking research and teaching. Monash designates us as an area of outstanding strength, ‘demonstrably preeminent relative to other Australian universities’ and competing fiercely on the international stage
  • Top Rankings: In the 2018 Excellence in Research for Australia assessment, we clinched the highest rank of 5 in Econometrics, and IDEAS places us among the top 10 institutions in the fields of Econometrics, Time Series, and Forecasting

The Role

The Department is on the lookout for a dynamic Lecturer, Senior Lecturer, or Associate Professor to join our collaborative team. As a Lecturer/Senior Lecturer/Associate Professor, you will contribute to the Department’s profile, engage in scholarly activities, and play a major role in research.

The relevant fields of specialisation for this role are econometrics, statistics, data science, machine learning, or a closely related discipline. Preference will be given to candidates with expertise in one of the following areas:

  • Applied econometrics or statistics
  • Computational econometrics or statistics
  • Econometric or statistical computing
  • Data science
  • Machine learning
  • Operations research

Candidates should be prepared to teach in both business analytics and econometrics units/subjects as required.

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

About You

For the Level B Lecturer Role:

  • Qualifications: A doctoral qualification in econometrics, statistics, data science, machine learning, or a closely related discipline.
  • 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 Level C Senior Lecturer Role:

  • Credentials:  A doctoral qualification in 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

For the Level D Associate Professor Role:

  • Credentials:  A doctoral qualification in econometrics, statistics, data science, machine learning, or a closely related discipline.
  • Scholarly Impact: A strong publication record in high-quality journals and a proven track record in obtaining significant external funding.
  • Educational expertise: Proven teaching excellence through evaluations, innovative presentation, and curriculum development.
  • Managerial Acumen: A track record in effectively supervising postgraduate research students and enhancing postgraduate training programs.

Check here for more information.