Research Fellow in Information Technology
Faculty / Portfolio:
Faculty of Information Technology
Caulfield School of Information Technology
Three year fixed-term appointment
$62,271 - $84,513 pa Level A /
$88,960 - $105,642 pa Level B
(plus 17% employer superannuation)
- Be part of a high quality, innovative and multi-disciplinary faculty
- Family-friendly work environment
- Caulfield campus
If you're after a rewarding career, Monash University can help make it happen. With leading academics and world-class resources, combined with a ranking in the top 100 universities worldwide, we offer all you need to build a brighter future.
The Monash University Faculty of Information Technology has strong research programs across many aspects of modelling and optimisation. The faculty is expanding its joint research with industry and other research disciplines, applying advanced analytics and decision support to solve scientific and industrial problems.
In this role you will be required to work with the staff and students of the faculty to conduct joint applications-oriented research with external industry and research partners applying advanced methods developed by the Monash optimisation team. You will also be involved in the implementation of software solutions that realise the benefits of our optimisation research in practical applications.
It is essential for your CV to provide a list of your four career-best publications or software tools where each is accompanied by a brief statement explaining its quality, impact and significance. For indicators of outlet quality please refer to either CORE quality rankings of conferences or journals http://portal.core.edu.au/conf-ranks and http://portal.core.edu.au/jnl-ranks or 2010 ERA rankings http://lamp.infosys.deakin.edu.au/era/?page=fnamesel10). For citations please refer to Google Scholar, Scopus, or Thomson Reuters.
In addition to your four career-best publications/software, please provide a link to your Google Scholar profile.
You will have a PhD in a relevant field of information technology or engineering and an excellent record of innovative research and development in software for resource optimisation. You will also have a demonstrated capacity to apply optimisation methods to real-world problems. If you believe you match this profile, we look forward to receiving your application.
This role is a full-time position; however, flexible working arrangements may be negotiated.
Your application must address the selection criteria. Please refer to "How to apply for Monash Jobs"
Professor Mark Wallace, Caulfield School of IT, +61 3 9903 4276
Thursday 10 November 2016, 11:55pm AEDT