(Level A) $86,587 - $92,796) or (Level B) $97,577 - $115,495 per annum plus an employer contribution of up to 17% superannuation may apply

Fixed term, full time position available for 3 years

A unique opportunity to conduct research in collaboration with a major mining industry partner to deliver new methods for automating variography and to work closely with industry on a highly relevant industry priority project. There is also the possibility of spending some of the research project time within the sponsoring company.

You would work in an area of critical relevance to the future development of the mining industry.

To be successful you will need:

Associate Lecturer – Level A:

• A PhD (or equivalent post-doctoral qualification) in geostatistics or spatial modelling as applied to mineral resource and geological modelling; or in mining engineering or resource geology with postgraduate courses in geostatistics or spatial statistics. Alternatively, we would consider a post-doctoral qualification in mathematics or computer science with the ability to acquire sufficient background knowledge of the mineral resource and geological context of the research project. In both cases, an ability to apply, adapt and develop rapid, automated methods of extracting spatial correlation from large three-dimensional data sets or the ability to acquire this expertise in the short-term.
• The ability to conduct research in modelling and quantifying spatial variability, preferably as applied to mineral resources. In particular, an ability to evaluate and develop novel, rapid methods for automating the modelling process.
• Good programming skills.
• Strong inter-personal communication skills, fluency in written and spoken English.
• The ability to work individually and as a member of a team working in new methods of resource modelling and model updating.

Lecturer – Level B:

• Advanced demonstrated experience in line with Level A criteria listed above
• Excellent programming skills.
• A demonstrated ability to work independently and as a member of a team through collaborative stakeholder engagement.
• Demonstrated knowledge, skills and experience working in new methods of resource modelling and model updating and, where appropriate, to take to a leading role in the direction of the research.

Enjoy an outstanding career environment

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

Our core values are honesty, respect, fairness, discovery and excellence. Our culture is one that welcomes all and embraces diversity, We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.

In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

Your faculty's broader role

The Faculty of Engineering, Computer and Mathematical Sciences is a thriving centre of learning, teaching and research in a vast range of engineering disciplines, computer science - including machine learning - and high-level mathematics. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers.

Learn more at: ecms.adelaide.edu.au

If you want to change tomorrow, act today

Click the link to the online application form below and address and upload your responses to all selection criteria, indicating in your cover letter which level you are applying for.

Applications close 11:55 pm, 2 November 2019.

For further information

For a confidential discussion regarding this position, contact:

Peter Dowd
Professor of Mining Engineering, School of Civil, Environmental, and Mining Engineering
P: +61 (8) 8313 4543
E: peter.dowd@adelaide.edu.au

Click on the link below to find a full selection criteria: (If no links appear, try viewing on another device)
https://careers.adelaide.edu.au/cw/en/job/503196/grant-funded-researcher-b-school-of-civil-environmental-and-mining-engineering

The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.