El 2 (S&t 6) - Discipline Leader

$139,681 - $167,659 + up to 15.4% Superannuation
- Edinburgh - SA, Fishermans Bend - VIC

**The Role**
As a Discipline Lead you will lead a research activity and inspire a small team of scientists, engineers and technicians to achieve outcomes for Defence. You will supervise and mentor staff to promote a healthy culture that values staff, innovation and excellence in science. Using your specialist knowledge and expertise you will:

- Identify and implement solutions to Defence and National Security problems;
- Develop skills and a work program that is able to deliver high quality Science & Technology outcomes that impact client capability;
- Report research findings to Defence partners and the scientific community.

The following roles are available:

- Discipline Leader Adaptive AI Planning
- Discipline Leader Data Exploration & Analysis
- Discipline Leader Platforms as a Service
- Discipline Leader Communications Signal Processing and Analytics

**Discipline Leader Adaptive AI Planning - Edinburgh, SA - Positive Vetting**

**Highly desirable qualifications, relevant experience or training**

A degree or higher qualification in any one of the following, or related, areas: Computer Science; Engineering, Applied Mathematics; Information Technology; Artificial Intelligence.

Additional qualifications and/or relevant skills and work experience in one or more of the following technical areas is highly desirable:

- Machine learning for analysis of complex data
- Machine intelligence for the control of complex systems
- Cyberspace operations / cyber warfare
- Command and control
- Software development
- User interfaces for visualization of complex data

**For more information on this role please contact**:
**Discipline Leader Data Exploration & Analysis - Edinburgh, SA, Fishermans Bend Vic or other DSTG Locations - Negative Vetting 1 with desire to obtain a Positive Vetting**
We are seeking someone who is highly experienced and self-motivated to lead our research into data, artificial intelligence and machine learning to support decision superiority for our warfighters. You will contribute to this mission by growing APS staff in the disciplines of exploratory data analysis, synthetic data generation, artificial intelligence test and evaluation and model assessment and reporting.

**Highly desirable qualifications, relevant experience or training**
A Bachelor’s degree, Masters or PhD in a relevant science, mathematics or engineering discipline including, but not limited to: Computer Systems Engineering, Software Engineering, Computer Science, Information Science, Systems Engineering, and Mathematics.

Extensive, demonstrable experience in the development of innovative S&T in AI/ML and associated technologies; including consideration for T&E, transition and scale within Defence environments; along with a strong background in applied AIML, particularly related to the preparation and exploitation of data and test and evaluation of ML models.

**For more information on this role please contact**:
**Discipline Leader Platforms as a Service - Edinburgh, SA - Negative Vetting 1**

We are looking for talented people who are self-motivated individuals that show initiative, strive to understand how their work aligns with Defence outcomes and enjoy working in a multi-disciplinary team to achieve those outcomes. You will also like solving problems, working collaboratively, learning new skills and knowledge, and want to deliver results for Defence.

**Highly desirable qualifications, relevant experience or training**
Experience in leading teams conducting research and development into secure, agile software development and integration.

Experience in Infrastructure as a Service, deploying infrastructure on bare-metal operating in connected and disconnected states, cloud technologies.

A Bachelor’s degree, Masters or PhD in a relevant science, mathematics or engineering discipline including, but not limited to: Computer Systems Engineering, Software Engineering, Computer Science, Information Science, Systems Engineering, Mechatronics, and Mathematics.

**For more information on this role please contact**:
**Discipline Leader Communications Signal Processing and Analytics - Edinburgh, SA - Positive Vetting**

One of the group’s activities is to develop a capability - and the supporting automated analytics - to analyse RF environments for understanding user traffic to provide situation assessment and activity-based intelligence. Modern RF emitters occupy large portions of the RF spectrum and operate in congested RF environments. Therefore, it is critical to develop automated, robust and high performance algorithms that leverage the benefits provided by signal processing and data science approaches.

**Highly desirable qualifications, relevant experience or training**
Demonstrated ability to undertake and lead RF communication signal processing and RF signal analytic S&T activities through theoretical and/or analytical studies, a