Lecturer / Senior Lecturer / Associate Professor - Business Analytics / Modern Econometrics
3 weeks ago
Posted: 03-Jun-24
Melbourne, Victoria, Australia
Type: Full Time
Categories:
Computer and Information - Analytics Computer and Information - Applied Mathematics Computer and Information - Management Science Computer and Information ScienceAcademic Designation:
AcademicWork Function:
EducationRequired Education:
DoctorateInternal Number: 664026
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 ForecastingThe 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 researchCandidates 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 responsibilitiesAbout 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 developmentFor 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.About Monash University
At , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen.
We value difference and , and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an where everyone is supported to succeed.
Together with our , you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.
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Join the pursuit of our purpose to build a better future for ourselves and our communities - with us.
Monash avidly supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes .
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