Monash University

Position Title/Short Description

Full Text of JOE Listing:

Job No.: 644352

Location: Caulfield campus

Employment Type: Full-time

Duration: Continuing appointment

Remuneration: $104,185 - $123,720 pa Level B / $127,624 - $147,159 pa Level C (plus 17% employer superannuation)

Where international collaborations are pursued
Drive your own learning at one of the world’s top 80 universities
Work with world leaders in their discipline

Everyone needs a platform to launch a satisfying career. At Monash, we give you the space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers.

The Opportunity

The Department of Econometrics & Business Statistics, one of the seven Departments at Monash Business School, comprises approximately 50 academics (and 50 PhD students) with particular strengths in econometrics, statistics, and actuarial science.

The Department of Econometrics and Business Statistics is recognised worldwide for the quality of its research and teaching and has been designated by Monash as an area of outstanding strength, ‘demonstrably preeminent relative to other Australian universities and competitive with the strongest international equivalents’. In the Excellence in Research for Australia assessment conducted by the Australian Research Council in 2018, Monash University received a rank of 5, which is the highest possible rank, in Econometrics. The Department is ranked in the top 10 institutions in the fields of Econometrics, Time Series and Forecasting by IDEAS (a Research Papers in Economics service maintained by the Federal Reserve Bank of St. Louis, USA).

Business Analytics is a well-established discipline in the Department with a strong statistical foundation, and an emphasis on statistical modelling and data analysis. Our Bachelor of Business includes a major in business analytics and statistics, our Bachelor of Commerce includes a major in business analytics that is accredited by the Statistical Society of Australia and we also have a Master of Business Analytics. The department has a high level of engagement with industry practitioners as well as nationally and internationally recognised research activities. We are also closely involved with the open source software movement, including the R foundation, and we have a focus on analytics with a social good.

The department is seeking to appoint a suitably qualified and enthusiastic Lecturer or Senior Lecturer to join our highly motivated team.

As a Lecturer/Senior Lecturer, you will further develop the profile for the Department of Econometrics and Business Statistics, contributing to all activities of the organisational unit or interdisciplinary area and play major roles in scholarly, research and/or professional activities.

To be successful, you will have expertise in statistics or a closely related discipline. Preference will be given to candidates with expertise in one of the following areas: machine learning, statistical computing, data visualisation, computational statistics, data science or operations research.

Your responsibilities include, but are not limited to:

Preparation and delivery of lectures, workshops and seminars
Supervision and engagement with honours or postgraduate students involved in course work
Conduct of research and activities to promote research impact
Attendance at departmental, school and/or faculty meetings and/or membership of a number of committees

As a candidate for the Lecturer position, you will have:

A PhD, or near complete PhD in statistics, data science, machine learning, operations research or a closely related discipline
A strong research background with a commitment to publish in top-tier journals
Possess a high level of interpersonal skills
Demonstrated ability to motivate, actively engage and educate at a tertiary level

As a candidate for the Senior Lecturer position, you will have:

A PhD in statistics, data science, machine learning, operations research or a closely related discipline
Evidence of high-quality scholarly activity, such as publications in the best quality journals in the field
Proven record of obtaining significant external grants for research
A strong ability to work within interdisciplinary teams and with external organisations including key industry partners
Demonstrated enthusiasm in developing curriculum materials and an ability to work positively and cooperatively with students

This role is a full-time position; however, flexible working arrangements may be negotiated.

At Monash University, we are committed to being a Child Safe organisation. This position at the University will require the incumbent to hold a valid Working with Children Check.

Your application must address the selection criteria.

Enquiries

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

Closing Date

Saturday 10 December 2022, 11:55 pm AEDT