Executive Level 1 (S&T Level 5)
$108,195 - $122,044 (plus Super)
Edinburgh - SA
The Role
If you are an ambitious, creative and a collaborative individual with a passion for High Performance Computing we encourage you to apply for this exciting opportunity.
The Senior Data Specialist will provide data performance expertise to deliver optimised research data workflow processes, aligned with data management, for increased throughput and productivity with computationally intensive research projects.
This role extends to a secondary specialisation in machine learning to support a broad variety of Defence research applications.
Duties:
- Lead, mentor and assist a small team and be accountable for team outcomes.
- Contribute to establishing and executing research agreements and contracts with academia, industry, and other research agencies in Australia or overseas.
- Partner with researchers and work in multi-disciplinary teams to understand, design, develop, and deliver technological solutions that meet researcher requirements, while exercising appropriate initiative and judgement and ensuring alignment with security, data management and high performance workflow requirements. This may include liaising with Defence stakeholders, industry, academia, and other partners.
- Assist researchers to exploit scientific computing technologies to turbocharge their science.
- Provision of expert scientific and technical advice to stakeholders on optimised research data workflows, and machine learning.
- Participate in the ongoing learning and application of best practice in optimised research data workflows, and machine learning.
- Investigate, and maintain awareness of, the state-of-the-art in applicable approaches and techniques.
- Investigate and develop improved computational approaches to optimised research data workflows, and machine learning, to achieve gains in productivity and effectiveness.
- Communicate complex research and analysis in a clear, understandable manner to a diverse audience, including those with both technical and non-technical backgrounds of different ranks and levels, and at national and international conferences
- Prepare scientific publications and reports, present outcomes, demonstrate technologies and interact with academic/scientific community.
- Enhancing S&T capability through targeted collaboration and/or interaction with other DST teams, academia, industry, military stakeholders, and other research agencies in Australia or overseas.
About our Team
Research Technology and Operations Division (RTO) delivers specialist capabilities to Defence Innovation Science and Technology (IS&T). RTO comprises a professional workforce of engineers, technicians, computational scientists and other staff who provide a wide range of highly specialised and unique research capability and innovative solutions delivering advanced research platforms for defence, national security and the wider IS&T ecosystem.
RTO capabilities accelerate and protect Defence’s science and technology advances and promote a collaborative, compliant, safe and healthy workplace. RTOs work areas include:
- Emerging digital science capabilities, including computational and data intensive science, research data and information and laboratory and experimental systems
- Scientific computing including the development and acquisition of a world-class secure High Performance Computing (HPC) capability for advance modelling and simulation
- Nationally recognised, unique and novel research engineering capabilities
- Development and implementation of the Outstanding Research Infrastructure Powering Innovation pillar, a major component of the More Together: Defence Science and Technology Strategy 2030
- Defence innovation, science and technology compliance, assurance and sovereignty through complex research safety, research security, workforce capability and talent and scientific resource management. RTO also provides specialised research enabling capabilities to other groups and services with Defence, the Australian Intelligence communities, our allies and/or our partners in industry and academia.
Within Digital Science and Scientific Computing (DSSC), the Computational and Data Intensive Sciences (CDIS) conducts research and innovates where Science and Technology (S&T) converges with computing infrastructure to deliver increased research productivity and enabling new science discovery for Defence researchers.
This encompasses DSTG's HPC and cloud platforms and multi-disciplinary S&T areas like workflow optimisation, machine learning, data visualisation, computer system benchmarking and code optimisation; and providing expert S&T advice in those areas.
With a strong emphasis on security that is critical to Defence, it extends to include research focussed DevSecOps platforms and tools which enables DSTG researchers with ready-to-use common computational S&T tools, trusted code repositories, container support paired with code automations supporting secure-by-design development.
Our Ideal Candidate
The ideal candidate should be able to demonstrate:
- Expertise in HPC: A strong understanding of HPC systems, parallel computing architectures, and distributed data storage systems.
- Data Management: The candidate should have experience managing and processing large-scale datasets, including database design, data cleaning, data transformation, and data quality control.
- Programming Skills: The candidate should have a strong background in programming, with expertise in languages such as Python, C/C++, or Fortran.
- Data Analysis: The candidate should be proficient in data analysis techniques, with experience using tools such as Tableau, R, or MATLAB for data visualization and analysis.
- Cloud Computing: Experience with cloud-based HPC solutions, such as AWS, Azure, or Google Cloud, is highly desirable.
- Communication Skills: Strong communication skills are essential, as the candidate will need to collaborate with cross-functional teams, provide technical support and training, and communicate technical information to non-technical stakeholders.
- Problem-Solving Skills: The ideal candidate should be able to identify and troubleshoot data-related issues, propose solutions, and implement them in a timely manner.
- Attention to Detail: Strong attention to detail is essential to ensure the accuracy and reliability of data processing and analysis.
- Adaptability: The ideal candidate should be able to work in a fast-paced, dynamic environment, be adaptable to changing priorities, and willing to learn new skills.
- Teamwork: The candidate should be able to work independently and as part of a team, with strong interpersonal skills and a collaborative mindset.
Application Closing Date: Monday 1 May, 2023
For further information please review the job information pack, reference DSTG/03094/23 on https://defencecareers.nga.net.au/?jati=DDECCB2F-41D3-59C1-20D3-D18D5EED5170
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