The ALCG 2022 Call for Applications is currently open.
The 2022 round of Australasian Leadership Computing Grants will be available to access NCI's high-performance computing system, Gadi.
The call for applications is designed to identify meritorious research projects with demonstrated ability to use HPC systems effectively at scale, and to provide these projects with larger allocations for extreme scale computational science.
There is no cap on the size of ALCG requests for the 2022 call, up to the 150 MSU scheme limit.
All fields of research are eligible to apply. Allocations through ALCG2022 will be valid for a 12-month period from 1 July 2022 – 30 June 2023.
Eligible Australian researchers are invited to submit an Expression of Interest to participate in the ALCG scheme.
Please read the Information for Applicants document in full.
The ALCG application is a two-stage process:
- Expression of Interest (deadline 5pm AEDT, 10th April 2022)
- Full Application for Shortlisted Applicants(deadline 5pm AEST, 8th May 2022)
Information Session slides and recording are available to view.
1. Expression of Interest (deadline 5pm AEDT, 10th April 2022)
NCI invites applicants to submit an Expression of Interest through the NCI registration system https://my.nci.org.au.
Expressions of Interest are shortlisted by the Allocation Committee. The Lead CIs of unsuccessful EOIs will be notified of this outcome as soon as possible following assessment and successful applications will be invited to submit a full application.
2. Full Application (deadline 5pm AEST, 8th May 2022)
The applicant (Lead CI) provides additional track record information in the NCI registration system, and submits an 9-page written application (PDF document) to email@example.com
Note that a Full Application will be accepted only for EOIs which have been favourably assessed and shortlisted by the Allocation Committee.
|23 March 2022||Call for Expressions of Interest|
|31 March 2022||Information Session|
|10 April 2022||Expressions of Interest deadline (5pm AEDT)|
|15 April 2022||Shortlisted EOIs invited to submit a full application|
|8 May 2022||Deadline for invited applications (5pm AEST)|
|11/12 May 2022||Allocation Committee meeting|
|16 May 2022||Allocations announced|
ALCG 2022 Information for Applicants
1. What are the eligibility requirements?
Applicants are expected to have demonstrated experience using HPC at an Australian or international facility and a record of research outputs in one or more areas of computational science.
All fields of research are eligible to apply.
Lead Chief Investigators (Lead CI) of projects must hold at least a 0.2 FTE research position at an Australian higher-education institution or research institute for the financial year 2022-23, and be based in Australia.
Chief Investigators (CI) must hold at least a 0.2 FTE research position at an Australian higher- education institution, research institute or publicly-funded research agency, and be based in Australia.
Lead Chief Investigators and Chief Investigators on an application must provide evidence of independent research funding, for example, grants from the ARC or NHMRC. Any grants referenced by a Lead CI or CI must name that applicant as a primary recipient. Applications citing grants on which the applicants are not primary (named) grant recipients will be disqualified for non-compliance.
A person holding a Postdoctoral appointment or undertaking a higher degree by research is not eligible to be a Lead Chief Investigator on an ALCG EOI or application.
An individual may be named as a Chief Investigator or Lead Chief investigator on only one ALCG EOI or application.
An ALCG application must demonstrate scalability on one or more HPC systems, at an Australian or international HPC facility. Proposals based on serial, single-cpu workflows will be not be accepted.
2. Is industry participation allowed?
Industry engagement is allowed, but the Lead CI on an application must meet the above eligibility criteria.
3. Can one application support multiple projects (ie a consortium bid)?
No. The ALCG is intended to identify meritorious research projects with demonstrated ability to use HPC systems effectively at scale, and to provide these projects with larger allocations for extreme scale computational science.
4. Can new users apply?
Yes, as long as eligibility requirements are met and the application demonstrates a track record of HPC utilisation at large scales.
5. Does it matter which hardware we apply for?
No, proposals utilising Gadi CPU and/or GPU capabilities (or both) will be accepted.
6. Can I include figures in my EOI?
No, EOI is submitted directly into the MyNCI portal. Tables may be added, but the system does not support figures.
|Professor Igor Bray, Curtin University||
Electron-molecule collision modelling for fusion and astrophysical applications
|Professor Richard Sandberg, University of Melbourne||Hydrogen co-firing for power generation: what happens in the turbine?|
|Evelyne Deplazes, University of Queensland||
Bacterial toxins as environmental friendly insecticides
Read about the recipients and their science.
|Professor Ben Corry, The Australian National University||Predicting the next coronavirus outbreak|
Professor Alan E Mark,The University of Queensland
|Understanding organic semiconductor morphology at an atomic level: Simulating the formation of realistic devices|
|Dr Bernhard Müller, Monash University||Understanding organic semiconductor morphology at an atomic level: Simulating the formation of realistic devices|
|Associate Professor Ekaterina Pas, Monash University||Design of Phase Change Materials of the Future|
|Professor Julio Soria, Monash University||High-fidelity direct numerical simulation of high Reynolds number turbulent thermal boundary layer flow with distributed high energy heat sources: An analogy for high-fidelity simulations of bushfires|
|Professor Evatt Hawkes, UNSW Sydney||Extreme scale simulations of combustion for low emissions gas turbines|
|Dr Simon Marsland, CSIRO||Global climate modelling with ACCESS|
|Dr Richard Matear, CSIRO||Global decadal climate forecasts|
|Associate Professor Chris Power ,International Centre for Radio Astronomy Research at The University of Western Australia Node||Modelling Supermassive Black Hole Jets in Galaxy Formation Simulations|