Research Fellow (Bayesian Computational Econometrics)
The University Of Melbourne
Contract/Temp
Apply Now
Pioneer advancements in Bayesian methodology.
Collaborate with leading researchers.
Contribute to the development and application of statistical models.
Role type: Full-time, Fixed term for 2 years
Faculty: Business and Economics
Department/School: Melbourne Business School
Salary: Level A - $85,555 to $116,094 (PhD Entry Level - $108,156) p.a. plus 17% super
The University of Melbourne
We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website.
Your next career opportunity
This two year Post-Doctoral Research Fellow position will support a research project developing new Bayesian methodology for the estimation of multi-module statistical and econometric models, along with their application to impactful problems.
The Fellow will extend their existing expertise in Bayesian methodology to large statistical and econometric models under the guidance of the project investigators, who are senior researchers in the field. On the methodology front, this will involve developing new Bayesian simulation and variational inference techniques for computing generalized Bayes posteriors. On the modelling side, this will involve specifying multi-module econometric models for business and economic data, as well as copula models for high dimensional multivariate data.
The Fellow will be required to have strong scientific programming skills, as they will take responsibility for the careful implementation in one or more programming languages such as Python and Matlab. They will also undertake substantial empirical work by applying the new methodology to solve important problems drawn from business, economics and elsewhere. It is expected that the successful candidate will coauthor a number of research papers for publication, as well disseminating research findings through workshops, seminars and publicly available code.
Your responsibilities will include:
You may be a great fit if:
You possess a strong capacity for independent thought and problem-solving, demonstrating meticulous attention to detail and a disciplined approach to maintaining accurate research records. You communicate your ideas clearly and persuasively, adapting your style to diverse academic audiences. As an effective collaborator, you engage constructively within teams, contributing positively to a collegial and dynamic research environment. Your enthusiasm for continual learning will enable you to navigate the research with resilience and a commitment to continuous professional development.
You will also:
For further information please refer to the attached PD.
What we offer you!
We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment, including:
For more information check out our benefits page!
Your new team - Melbourne Business School
Melbourne Business School, situated at the heart of the University of Melbourne's Carlton campus, is renowned for delivering Australia's premier Master of Business Administration and Master of Business Analytics programs. With a distinguished faculty whose research spans a broad spectrum of business administration and analytics, MBS consistently produces influential scholarship in leading academic journals.
As part of the Faculty of Business and Economics, Melbourne Business School offers a dynamic and collaborative environment that champions academic excellence, innovation, and real-world impact. Joining MBS means becoming part of a community committed to shaping future business leaders and advancing cutting-edge research that addresses complex challenges in today's rapidly evolving global economy.
Be Yourself
The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We are committed to creating an inclusive and equitable workplace where all individuals feel valued, respected, and have the opportunity to thrive regardless of gender identity, ethnicity, sexual orientation, disability, age, being a parent or having caring responsibilities.
The University of Melbourne is committed to fostering a barrier-free and inclusive recruitment process. We are dedicated to providing reasonable adjustments for candidates throughout the application and interview stages, including accessible document formats and alternative application methods. To discuss your specific requirements, please feel free to contact Bec Tucker - 0416 888 299 or send an email titled 'Reasonable Adjustments' to hr-careers@unimelb.edu.au. You can find more information for applicants requiring reasonable adjustments on our Careers website: https://about.unimelb.edu.au/careers
Aboriginal and Torres Strait Islander Applicants
We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.
For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerring
If you are a member of an Aboriginal and/or Torres Strait Islander community and would like any support, please feel free to contact our Indigenous Employment & Development team via email at oied-hr@unimelb.edu.au.
Working at the University - what you need to know
This role requires the successful candidate to maintain a Working with Children Check The successful candidate can apply for the WWCC as part of the onboarding process. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures.
Join Us and unlock your career potential!
Is this the perfect opportunity for you? Apply today! Including the following documents:
^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria
If you have any questions regarding the recruitment process, please feel free to contact Petra Newton via email at hr-careers@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.
If you have any particular questions regarding the job please follow the details listed on the Position Description.
Applications close: 18th September at 11:55 PM Australian Eastern Standard Time (AEST) / Melbourne time zone.
Position Description: Post-doc Research Fellow in Bayesian Computational Econometrics and Statistics_PD
Faculty: Business and Economics
Department/School: Melbourne Business School
Salary: Level A - $85,555 to $116,094 (PhD Entry Level - $108,156) p.a. plus 17% super
- Pioneer advancements in Bayesian methodology and contribute to the development and application of cutting-edge statistical and econometric models within a high-calibre research environment.
- Collaborate with leading researchers across prestigious institutions and undertake research on methodological innovation and impactful empirical analysis in business, economics and elsewhere.
- Enjoy an excellent benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.
The University of Melbourne
We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website.
Your next career opportunity
This two year Post-Doctoral Research Fellow position will support a research project developing new Bayesian methodology for the estimation of multi-module statistical and econometric models, along with their application to impactful problems.
The Fellow will extend their existing expertise in Bayesian methodology to large statistical and econometric models under the guidance of the project investigators, who are senior researchers in the field. On the methodology front, this will involve developing new Bayesian simulation and variational inference techniques for computing generalized Bayes posteriors. On the modelling side, this will involve specifying multi-module econometric models for business and economic data, as well as copula models for high dimensional multivariate data.
The Fellow will be required to have strong scientific programming skills, as they will take responsibility for the careful implementation in one or more programming languages such as Python and Matlab. They will also undertake substantial empirical work by applying the new methodology to solve important problems drawn from business, economics and elsewhere. It is expected that the successful candidate will coauthor a number of research papers for publication, as well disseminating research findings through workshops, seminars and publicly available code.
Your responsibilities will include:
- Developing and applying innovative Bayesian simulation and variational inference methods to complex multi-module statistical and econometric models.
- Implementing new methodologies in contemporary programming languages such as Python and Matlab, and undertaking detailed empirical analyses with rigorous benchmarking.
- Collaborating effectively with project investigators across multiple universities to advance research objectives and contribute to scholarly publications.
- Disseminating research findings through workshops, masterclasses, and the creation of accessible web-based resources, while fulfilling additional faculty responsibilities as required.
You may be a great fit if:
You possess a strong capacity for independent thought and problem-solving, demonstrating meticulous attention to detail and a disciplined approach to maintaining accurate research records. You communicate your ideas clearly and persuasively, adapting your style to diverse academic audiences. As an effective collaborator, you engage constructively within teams, contributing positively to a collegial and dynamic research environment. Your enthusiasm for continual learning will enable you to navigate the research with resilience and a commitment to continuous professional development.
You will also:
- Hold a PhD or be near completion in econometrics, statistics, or a related discipline.
- Demonstrate strong knowledge of Bayesian inference methods and their practical implementation.
- Possess advanced scientific programming skills in one or more contemporary languages, such as Python or Matlab.
- Exhibit proven ability to work independently and collaboratively while maintaining rigorous research documentation.
For further information please refer to the attached PD.
What we offer you!
We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment, including:
- Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being
- Progressive, considerate leave provisions to empower your work-life balance
- Salary packaging and access to a range of discounted services including Bupa health insurance
- Health and well-being services including a leading Employee Assistance Program
For more information check out our benefits page!
Your new team - Melbourne Business School
Melbourne Business School, situated at the heart of the University of Melbourne's Carlton campus, is renowned for delivering Australia's premier Master of Business Administration and Master of Business Analytics programs. With a distinguished faculty whose research spans a broad spectrum of business administration and analytics, MBS consistently produces influential scholarship in leading academic journals.
As part of the Faculty of Business and Economics, Melbourne Business School offers a dynamic and collaborative environment that champions academic excellence, innovation, and real-world impact. Joining MBS means becoming part of a community committed to shaping future business leaders and advancing cutting-edge research that addresses complex challenges in today's rapidly evolving global economy.
Be Yourself
The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We are committed to creating an inclusive and equitable workplace where all individuals feel valued, respected, and have the opportunity to thrive regardless of gender identity, ethnicity, sexual orientation, disability, age, being a parent or having caring responsibilities.
The University of Melbourne is committed to fostering a barrier-free and inclusive recruitment process. We are dedicated to providing reasonable adjustments for candidates throughout the application and interview stages, including accessible document formats and alternative application methods. To discuss your specific requirements, please feel free to contact Bec Tucker - 0416 888 299 or send an email titled 'Reasonable Adjustments' to hr-careers@unimelb.edu.au. You can find more information for applicants requiring reasonable adjustments on our Careers website: https://about.unimelb.edu.au/careers
Aboriginal and Torres Strait Islander Applicants
We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.
For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerring
If you are a member of an Aboriginal and/or Torres Strait Islander community and would like any support, please feel free to contact our Indigenous Employment & Development team via email at oied-hr@unimelb.edu.au.
Working at the University - what you need to know
This role requires the successful candidate to maintain a Working with Children Check The successful candidate can apply for the WWCC as part of the onboarding process. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures.
Join Us and unlock your career potential!
Is this the perfect opportunity for you? Apply today! Including the following documents:
- Resume
- Cover Letter outlining your interest and experience
- The responses against the Selection Criteria^ (found in the Position Description)
^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria
If you have any questions regarding the recruitment process, please feel free to contact Petra Newton via email at hr-careers@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.
If you have any particular questions regarding the job please follow the details listed on the Position Description.
Applications close: 18th September at 11:55 PM Australian Eastern Standard Time (AEST) / Melbourne time zone.
Position Description: Post-doc Research Fellow in Bayesian Computational Econometrics and Statistics_PD