Research Fellow
Job No.: 670987
Location: Clayton campus
Employment Type: Full-time
Duration: 20 months fixed-term appointment
Remuneration: $80,464 - $109,203 pa Level A (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
Monash University’s Faculty of Information Technology is seeking a Level A Research Fellow to join the Department of Data Science and Artificial Intelligence (DSAI). This role offers an exciting opportunity to contribute to cutting-edge research focused on optimisation technology and its application in architectural design.
About the Role:
You will work on a dynamic project aimed at developing automated optimisation approaches to enhance building design coordination, addressing inefficiencies that arise when diverse expertise (e.g. structural and mechanical engineering) intersects during the design process. This role involves developing optimisation models (e.g. using MiniZinc) and solving methods to demonstrate the transformative potential of optimisation technology in this application.
Collaboration will be key, as you’ll join the DSAI’s optimisation team while liaising with industry partners to align research goals with their priorities. There will also be opportunities to publish findings in leading optimisation venues.
Key Responsibilities:
- Develop and test optimisation models and solving methods to demonstrate their application in design processes.
- Collaborate with the DSAI team and industry partners to ensure the research aligns with project objectives and industry needs.
- Contribute to high-quality research outputs, with an expectation to publish in relevant academic venues.
About You:
The ideal candidate will have:
- A strong background in mathematical optimisation or computational problem-solving.
- Experience with optimisation tools such as MiniZinc or similar platforms.
- Proven ability to work independently and collaboratively on research projects.
- An enthusiasm for interdisciplinary collaboration and application of research to real-world challenges
About Monash University
At Monash, work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen.
We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.
Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.
Learn more about Monash.
Be part of our story. Work with us to #ChangeIt.
Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.
To Apply
For instructions on how to apply, please refer to 'How to apply for Monash Jobs'. Your application must address the Key Selection Criteria.
Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups.
We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion.
Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.
Enquiries: Dr. Pierre Le Bodic, Senior Lecturer, Department of Data Science and AI, pierre.lebodic@monash.edu
Position Description: Research Fellow
Applications Close: Sunday 19 January 2025, 11:55pm AEDT
Supporting a diverse workforce
