Research Fellow – AI-based Discrete Optimisation

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Job description

Job No.: 578949

Location: Caulfield campus

Employment Type: Full-time

Duration: Three year fixed-term appointment

Remuneration: $95,297 – $113,166 pa Level B (plus 17% employer superannuation)

  • Be inspired, every day
  • Drive your own learning at one of the world’s top 80 universities
  • Take your career in exciting, rewarding directions

The Opportunity

The AI-based Discrete Optimisation research 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. To learn more about the AI-based Discrete Optimisation research group and the work we do, please visit our website.

The Faculty is now seeking to significantly expand the AI-based Discrete Optimisation research group, to build on its 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.

The position is for a 3 year fixed-term appointment.

As the successful candidate you will be part of a team who collaboratively work on all aspects of the project from; concepts, theoretical underpinning and design through implementation and experimentation, to publication of results, curation of data, and maintenance of generated software. Primary responsibilities of the positions will be either the development of, or experimentation with, constraint solving methods and related mathematical techniques; or the development of modelling language constructs and analyse transformations that can produce efficient inputs to solvers. You will also work side by side with a large number of other researchers in analysis, optimisation and programming language technologies including; groups from the University of Melbourne and CSIRO Data61.

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.

Melbourne recently has been rated the #1 city worldwide for quality of life (see Economist & Guardian, with excellent education, healthcare, infrastructure, low crime, exceptional cuisine, cultural activities and creative design. The regional area is renowned for its dramatic coastline, extensive parks, exotic wildlife and Yarra Valley wine.

If you feel you have the drive and expertise to contribute to this cutting-edge group, then we strongly encourage you to apply!

How to apply

Application information

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

For more information on the Faculty of IT’s main research areas and vigorous recruitment plans to add 50 new faculty staff, see website.

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.

Enquiries

Professor Maria Garcia de la Banda, Faculty of Information Technology, +61 3 9903 2322.

Closing Date

Monday 6 August 2018, 11:55 pm AEST

To submit your application, please send your resume and covering letter to hr-recsupport@monash.edu. Please list the Job Number and Position Title in the email header.

At Monash, we want our research to change things for the better, our teaching to set us apart and our social justice agenda to make a global difference. To continue achieving these objectives, we need people who strive for excellence and who wish to engage with top researchers and industry. To attract excellent people we know we need to offer excellent benefits and conditions. That is why when you join Monash, you will join a workplace where fairness and flexibility are standards, not afterthoughts. We offer a variety of professional development opportunities, support for research, generous maternity/parental leave and work arrangements that acknowledge one size does not fit all.