PhD Research Scholarship in Materials Engineering 1038 views

PhD Research Scholarship in Materials Engineering

PhD Research Scholarship in Materials Engineering at the School of Mechanical and Mining Engineering, University of Queensland’s

Reference / Job no:507209
Area: Faculty Of Engineering, Architecture and Info Tech
Salary:RTP Scholarship NON-BANDED ($27,596.00 – $27,596.00)

Overview

The PhD project will be conducted within the School of Mechanical and Mining Engineering and School of Information Technology and Electrical Engineering working on an Australian Research Council (ARC) Discovery Project to develop new generation of aluminium alloys through big data analytics. The Project topics are:

1. Development of a big data analytic knowledge model that is capable of correlating the chemical compositions and processes of aluminium alloys to the mechanical properties.
2. Design and development of new aluminium alloys and the associated processing using the big data analytic model.

The successful candidates will receive training in the physical metallurgy of metals, manufacturing of aluminium alloys, fundamental of big data analytics and machine learning process, and in the required laboratory measurement techniques.

Knowledge, skills and attributes:

1. Sound knowledge of the science and engineering of metals.
2. Capacity to participate in production of experimental iron, steel and aluminium castings in the University’s experimental foundry, taking part in quality assurance and traceability monitoring.
3. Well-developed laboratory and practical skills, including safe operation of rotating equipment, accurate measurements and data recording.
4. Capacity to participate in field trials at remote mine sites, liaising with site personnel and taking detailed on-site measurements of worn multi-specimen test plates.
5. Ability to operate TEM, SEM and EDS instruments.
6. Demonstrable commitment to good practice in data management.
7. Ability to communicate technical concepts and the logical “story” of the project in clearly written English.
8. Sound knowledge of big data analytics.
9. Previous research industry experience in fields such as foundry technology or minerals industry maintenance or big data analytics would be viewed favourably.

Fellowship / Remuneration

$27,596 per annum tax-free (2019 rate), indexed annually, for three years with the possibility of two 6-month extensions in approved circumstances.

Application Procedure

To apply for admission and scholarship, follow the link below. There is no separate application for scholarship because you will be given the opportunity to request scholarship consideration on the application for admission.

Deadline: Sunday 31 March 2019