NCI Intern

Classification: ANU Officer 3
Salary package: $73,292 - $80,834 per annum plus 17% superannuation
Terms: Full-time, Fixed-Term (12-weeks)
In 1946, ANU was founded to help rebuild a changing world. We’re still at it, 80 years later. For generations, our people have turned curiosity into ideas that have shaped Australia and our region. Learn more about ANU, our history and the community that has shaped us:ANU at 80
Apply Now: More information, including the selection criteria and position description, can be found on the ANU Jobs Board: http://jobs.anu.edu.au/cw/en/job/562198?lApplicationSubSourceID=
The Position
Join the NCI Internship Program and work on a defined project within NCI Australia, contributing to high-performance computing (HPC), data, and cloud initiatives that support national research. This structured program provides hands-on experience in a professional research environment, enabling you to apply your technical skills to real-world challenges.
You can apply to one project from below. Selection will consider your background and motivation, evidence of relevant technical skills, how well your skills match the project’s needs, and your potential to contribute to NCI’s research ecosystem.
Project Overview - More specific selection criteria for each project can be found in the position description:
Project 1: Evaluating FP8 Mixed Precision for Scientific AI on NVIDIA H200 GPUs
This project will investigate how FP8 can be used for scientific AI workloads while maintaining numerical stability, model accuracy and scientific performance.
Project 2: Extending Zephyrus: Agentic AI for Australian Weather and Climate Data
This project will implement NCI’s new data-source abstraction and validate it on ERA5 global reanalysis and BARRA2 Australian regional reanalysis, enabling trustworthy AI-assisted analysis across more NCI data.
Project 3: A Python Interface for MOM6 Ocean Modelling
This project will develop a Python programmatic interface to create scriptable, exportable and shareable MOM6 configurations, supporting easier performance analysis, provenance and reproducibility.
Project 4: Scaling Near-Real-Time Analysis of Nanopore Sequencing Data
This project will investigate using NCI’s large-scale compute resources to process sequencing data in batches as it becomes available, overlapping data transfer and computation to enable near-real-time analysis and feedback.
As part of the program, you will collaborate with experienced technical staff and researchers, contribute to meaningful project outcomes, and engage in NCI’s broader training and research ecosystem. The internship culminates in a formal showcase, where you will present your project deliverables, outcomes, and key learnings to a wider audience.
The Person
A motivated postgraduate student interested in computational research, data science, HPC, or cloud technologies, eager to join a structured internship program that develops practical skills.
Possess foundational programming or analytical skills and be keen to apply them in a practical setting. You offer strong problem-solving capabilities, a willingness to learn, and the ability to work both independently and as part of a team. Effective communication skills, along with good time management and the ability to meet deadlines, are essential.
The Department
NCI Australia is Australia’s national research computing facility, providing high-performance computing, data, and cloud services to support world-class research. The Internship Program is part of NCI’s Training and Education Strategy, aimed at developing future capability in computational science and digital research infrastructure.
Eligibility
Applicants must:
Be enrolled in a postgraduate degree program (master's by research or PhD) at an Australian University .
Be present in Australia during the internship.
Have full-time working rights in Australia for the duration of the internship.
Be able to commit full-time for the internship period.
Demonstrate interest in computational research, HPC, data science, cloud computing, AI/ML, research software, or related areas.
Have foundational skills relevant to the project(s) you apply for, such as programming, analytics, modelling, or scientific computing.
We encourage applications from Indigenous researchers, people from culturally and linguistically diverse backgrounds, women and gender diverse researchers, people with disabilities, and other underrepresented groups.
For further information please contact, Abdullah Shaikh, Training Manager T: +61 466 329 718, E: abdullah.shaikh@anu.edu.au.
The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au
ANU values diversity and inclusion and is committed to providing equal employment opportunities to people of all backgrounds and identities. For more information about staff equity at ANU, click here. For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details.
Application information
In order to apply for this role please make sure that you upload the following documents:
A statement addressing the selection criteria, including alignment of skills, experience, and motivation with the selected project.
A current curriculum vitae (CV) which includes the names and contact details of at least one referee (your current supervisor). If your CV does not include referees you can complete these online when prompted in the application form.
An academic transcript.
A letter of support from your academic supervisor.
Other documents, if required.
Applications which do not address the selection criteria may not be considered for the position.
Please note: The preferred candidate must have rights to live and work in Australia and will be required to complete mandatory pre-employment declarations and background checks relevant to the role they have applied for, in accordance with the Background Checking Procedure and the National Higher Education Code to Prevent and Respond to Gender-Based Violence.
Closing Date: Wednesday, 28 October 2026, 11:55pm (Canberra Time)

Work arrangement
Yes