PhD Scholarship in Additive Manufacturing of Ceramic and Ceramic Matrix Composite Parts

Funded by Siemens AG, we have an exciting opportunity for three PhD candidates to research the fundamental mechanisms involved in the additive manufacturing of ceramic matrix composites for gas turbine applications.

Value and duration

$35,000 per year for three years.

Number of scholarships available

Three PhD scholarships


To be considered for this scholarship, you must hold, or be currently completing a degree in mechanical, additive manufacturing or materials engineering or a related field such as applied mathematics:

  • a Master by research, or
  • an Honours degree achieving first class honours, or
  • a four-year bachelor degree achieving a GPA of 4 or equivalent (80% or above).

How to apply

All applicants should email the following to Professor Milan Brandt at

  • a cover letter including details of your alignment with the research areas of this scholarship, and
  • your CV, and
  • your academic transcript

Open date

15 September 2017

Close date

31 October 2017

Terms and conditions

Australian citizenship required

Further information

Additive manufacturing (AM) is a revolutionising process that allows the rapid production of three-dimensional components layer by layer in a single process directly from a computer-aided design (CAD). The technology has been successfully used to make complex parts, such as medical implants, engine parts and aerospace components. Till now, most of the objects fabricated using AM are made of polymers and metals. Additive manufacturing of ceramic materials and ceramic- based composites is still at an embryonic stage and faces many challenges due to the fundamental difference in ceramic processing and properties, as compared to those for polymers and metals.

The proposed research is to explore and understand the fundamental mechanisms involved in the additive manufacture of ceramic matrix composites for gas turbine applications. This will be achieved through the systematic investigation of the relationships among materials process parameters, microstructures, final mechanical properties and process modelling.


Professor Milan Brandt