DIN has awarded 14 PhD Scholarships to early-to-mid stage research projects that address current or emerging Defence or industry needs, allowing PhD students an opportunity to receive practical, hands-on research experience in a defence setting.
This program will grow local Australian skills and support STEM career pathways in Defence.
These collaborative projects will bring fresh, innovative ideas to Defence and industry, strengthen their relationships with NSW universities and promote STEM job creation in the State. PhD students will benefit from practical, hands-on research experience in a defence setting.
Winners of the 2021 PhD Scholarships
| Project | Collaborators |
| Stealthy osmotic engines | Western Sydney University, BlueZone Group |
| Optimal design and testing of composite structures with enhanced protection capability against laser weapon attack | Western Sydney University, DSTG, ADF |
| MAC protocol design for reliable underwater communication | UTS, DSTG |
| Multi-functional metamaterials for efficient vibro-acoustic control | UTS, DSTG, Robotic Systems |
| Using Cues: The Cognitive Enabler of Warfighting | Macquarie University, ADF |
| Microfluidic Cooling for High Power RF Electronics | Macquarie University, DSTG |
| Optical technologies for distributed array sonars | UNSW, Thales, Zedelef |
| Kelvin wake fingerprinting of submerged vessels | UNSW, Naval Pacific Group |
| Naval ship response under extreme loads | University of Newcastle, Pacific ESI |
| Cyber security for autonomous systems | University of Newcastle, DSTG |
| Cooperative operation of UAVs and other types of vehicles considering energy constraints and uncertainty | University of Wollongong, Hover UAV |
| Project Kosciuszko: Supporting deep decisions in AI-enabled command and control |
University of Wollongong, DSTG |
| Drag-reducing Anti-fouling Coatings for Maritime Applications | University of Sydney, MicroTau |
| Finding Haystacks within Haystacks: An AI Framework for Automated, Machine-to-Machine Sharing of Benign Cyber Intelligence Data |
University of Sydney, Thales |
