Postdoctoral Research Fellow - School of Mechanical and Mining Engineering

Location
Australia
Posted
Aug 13, 2019
Closes
Sep 12, 2019
Ref
117036
Organization Type
University and College
Hours
Full Time
School of Mechanical and Mining Engineering

With an excellent reputation for quality graduate training and research performance, the School of Mechanical and Mining Engineering delivers a comprehensive range of programs in aerospace, materials, mechanical, mechatronic and mining engineering.

Boasting strong student enrolments in professionally accredited programs, combined with world-class researchers and facilities, we are focused on strengthening our position in the engineering community. We will develop global solutions to contemporary issues and mentor the leaders of tomorrow by attracting the brightest minds and fostering a truly innovative and collaborative work environment.

The School is undertaking pioneering research in the area of poroelastic rock mechanics to support the resources industries of the future. Areas of focus include the development of advanced rock preconditioning and fragmentation techniques to support the extraction of future mineral resources, and the sustainable enhancement of unconventional gas from coal seams. A strong industry funded research program has been secured, including all of the resources required to create a paradigm shift in these strategically important industries, both within Australia and overseas. The research team is led by recognised experts in their respective fields, who are committed to developing the careers of early-career researchers and engineers.

For more information about the School, please visit: http://www.mechmining.uq.edu.au/

About This Opportunity

You will be responsible for the development and testing of new computational models for coupled fluid-rock systems, and then applying them in the areas of explosive-induced rock preconditioning and fragmentation, as well as coal seam gas (CSG) production. This will include, but is not limited to:
  • The development, implementation, and demonstration of large-scale computational models of fluid-particle and fluid-solid systems featuring a range of physical phenomena (e.g. explosive-driven fracture);
  • The study of explosive-rock interaction mechanisms to better understand fracture initiation and growth in anisotropic conditions;
  • The upscaling of transport phenomena from small-scale to field-scale models of porous media flow featuring dual porosity (i.e. fractured) systems;
  • Data-driven interrogation of model outputs to facilitate the coupling of different computational codes and the physical interpretation of results.

This work will be undertaken in parallel with complementary laboratory and site-based experimental methods using blast-induced dynamic loads. You will be embedded within a multidisciplinary group of researchers and students from the School, and have access to:
  • Industry-relevant data and processes;
  • A ranges of in-house, open-source, and commercial software packages, and;
  • Large-scale high performance computing infrastructure at an institutional and national level.

This position will provide opportunities to work with the global resources industry, and to develop new research activities that may or may not be related to these industries.

This position is located at our picturesque St Lucia campus , renowned as one of Australia's most attractive university campuses, and located just 7km from Brisbane's city centre. Bounded by the Brisbane River on three sides, and with outstanding public transport connections, our 114-hectare site provides a perfect work environment - you can enjoy the best of both worlds: a vibrant campus with the tradition of an established university.

Our Ideal Candidate

Applicants should possess a PhD (or thesis submission) in mechanical engineering, civil/geotechnical engineering, mining/petroleum engineering, or a related field such as applied physics or mathematics. You should possess demonstrated expert knowledge in the area of computational mechanics, including an ability to develop computational models of complex fluid-particle and fluid-solid systems, implement these models within a high-performance-computing (HPC) framework, and then benchmark their performance. A demonstrated ability to develop scientific and data analysis codes such as Python is essential.

An understanding of working with the lattice Boltzmann method for fluid mechanics, the discrete element method for particle mechanics, the finite element method for solid mechanics, as well as blasting and unconventional gas production technologies, will be highly regarded.

You must have ongoing unrestricted work rights in Australia to apply for this opportunity.

We value diversity and inclusion, and actively encourage applications from those who bring diversity to the University. Our Diversity and Inclusion webpage contains further information if you require additional support. Accessibility requirements and/or adjustments can be directed to recruitment@uq.edu.au .

What We Can Offer

This is a full-time, fixed term appointment at Academic level A.

The full-time salary will be in the range $78,775 - $90,982 p.a., plus employer superannuation contributions of up to 17% (total package will be in the range $92,167 - $106,449 p.a.).

You will be able to take advantage of UQ Sport Facilities , salary sacrificing options, on-campus childcare, discounted private health insurance, cheap parking, development programs and many other benefits.

For further information, please review The University of Queensland's Enterprise Bargaining Agreement 2018-2021 .

Questions?

To discuss this role please contact Dr Christopher Leonardi on +61 7 3365 3761 or c.leonardi@uq.edu.au .

To discuss anything about the application process, please email recruitment with 508153 in the subject line, recruitment@uq.edu.au

Want to Apply?

To submit an application for this role, use the APPLY NOW button below. All applicants must supply the following documents:
  • Cover letter addressing responses to the Selection Criteria
  • Resume

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