Associate Research Fellow, Optimisation Modelling

Apply now Job no:549191
Work type:Full-time
Location:Melbourne - Burwood
Categories:Information Technology

• Based at our Melbourne, Burwood Campus
• Full-time and fixed term for 12 months
• Level A $76,985 - $103,493 + 17% Superannuation (pro rata, part time)

Why work with us?

At Deakin you will have access to benefits such as a variety of leave options including generous parental leave and the ability to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive culture and environment to work in, both online and on campus.

This position will service an ARC Discovery Project, “An intelligent machine modelling assistant for combinatorial optimization problems”, which commenced in 2022. Machine-assisted optimization modelling is pioneering interdisciplinary research at the border of computing, Artificial Intelligence (AI), and mathematics.

The aim of the project is to address the research challenges in the development of a machine modelling assistant (MMA) to provide a non-mathematical domain expert end-user with assistance in formulating and solving mathematical models for business optimisation problems.

The project will utilize advances in multiple current AI technologies, in particular natural language processing (NLP) and novel ideas in combinatorial optimization to develop a framework for automating mixed-integer linear programming model formulation.

As an Associate Research Fellow, you will:

• Conduct high-quality research, scholarship and creative activities generating high impact outputs, with mentorship
• Engage collaboratively to participate in novel and high-quality research or creative activities
• Co-supervise Honours students to timely and high-quality outcomes
• Contribute to applications for funding for research and innovation
• Take an active role in engagement with industry                                                                                                                      

To be successful, you’ll have:

• A PhD in a relevant discipline and/or other relevant qualifications and experience
• Knowledge of Natural Language Processing and Machine Learning,  strong programming skills.
• Preferably knowledge in one or more of ontology, structure grammar, and mathematical programming (e.g., Linear Programming), combinatorial optimization and its application.
• Emerging research and scholarship through publications, and/or exhibitions as appropriate to the discipline
• Capacity to contribute to research and be able to communicate with the research community and the general public.

Here's how to apply: 

Please submit your updated resume, a short cover letter and responses to the Key Selection Criteria.

For a confidential discussion regarding this role, please contact Professor Vicky Mak-Hau on [email protected] .

For a copy of the position description, please see below:

 PD - Associate Research Fellow, Optimisation Modelling 549191.pdf

Applications for this position close on Thursday 15th February at 11:55pm. 

Are You Ready?

Deakin is a Victorian university with a global impact. We are an agile, dynamic, and innovative university committed to making a positive impact through our excellence in education, research and innovation and the contributions we make to the wider community.

We understand that our reputation has been built on the dedication and expertise of our staff and we offer a dynamic and diverse working environment with opportunities to grow and develop careers. We believe that a progressive, thriving culture will ensure that people choose to come, and stay at Deakin and contribute to our ongoing success.

We value diversity and aim to build an inclusive environment that champions, embraces and respects differences. We support and encourage applications from Aboriginal and Torres Strait Islander people, and people of all abilities, cultures, sexual orientation, and genders.