Monash University: Research Fellow – Optimisation [Melbourne, Australia]
Seeking an enthusiastic researcher with solid skills in any of the following areas: constraint programming, mixed integer programming, SAT and SAT modulo theories, modelling languages and program analysis, to join an established team working on new approaches to modelling and solving discrete optimisation problems.
At: Monash University
Location: Melbourne, Australia
Position: Research Fellow - Optimisation
- Be inspired, every day
- Take your career in exciting and rewarding directions at one of the world’s top 80 universities
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 with access to quality research, infrastructure and learning facilities. 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. Innovative, supportive, successful and with great breadth and depth of talent, Monash Information Technology is a leader in research and education. We provide an ideal environment in which to excel and are located in Melbourne, one of the world’s most liveable cities.
The Optimisation group in the Faculty of Information Technology is a world leading research group in discrete optimisation. Together with partners at the University of Melbourne and Data61, it has created and continues to develop MiniZinc, the leading modelling language for constraint programming, and lazy clause generation CP solving, which provides the state of the art CP solving technology.
The Faculty is now seeking to significantly expand the Optimisation group, to build on it’s world leading capabilities to make discrete optimisation more accessible and more effective. We are looking for an enthusiastic researcher with solid skills in any of the following areas: constraint programming, mixed integer programming, SAT and SAT modulo theories, modelling languages and program analysis, to join an established team working on new approaches to modelling and solving discrete optimisation problems.
You will be an energetic and innovative researcher with a strong publication record who is interested in pioneering in emerging research areas. You will also hold a PhD qualification either in computer science, mathematics or a related discipline.
This is a unique opportunity to join a leading Go8 University with top-rankings and like-minded, passionate academics located in the stunning City of Melbourne. For six consecutive years, Melbourne has been rated the #1 city worldwide for quality of life (see Economist & Guardian), with excellent education, healthcare, infrastructure, low crime, and exceptional cuisine, cultural activities, and creative design. The regional area is renowned for its dramatic coastline, extensive parks, exotic wildlife, and the Yarra Valley wine region.
If you feel you have the drive and expertise to contribute to this cutting-edge group, then we strongly encourage you to apply!
Required application materials include:
- Cover letter
- Current CV with publication list, and research and teaching interests
- Google Scholar link
- List of the 3 publications you are most proud of and a brief explanation as to why
- 3 references with email/phone contacts
The faculty is strongly committed to improving the diversity of our staff and students and promoting a culture of equity, fairness, respect and openness. We fully support the principles of the Athena SWAN Charter. Applications from female candidates are strongly encouraged.
For instructions on how to apply, please refer to "How to apply for Monash Jobs".
Professor Peter Stuckey, Optimisation Subgroup, firstname.lastname@example.org
Wednesday 26 June 2019, 11:55pm AEST
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