Future Research Talent Awards - Indonesia

Please note: Due to ongoing uncertainty and challenges caused by the COVID-19 pandemic, and considering the health and safety of staff and scholars, the 2022 round of the FRT program will offer a limited number of remotely supervised projects only. Details of such remotely supervised projects are available on this webpage below. Application process for FRT awards will remain unchanged as outlined below.

The Future Research Talent (FRT) awards provide selected Indonesian staff and students with an opportunity to travel to the Australian National University to pursue collaborative research, for a period of 10-12 weeks, in a range of Science, Health and Medicine disciplines.

The FRT is a competitive and prestigious program attracting the best staff and students from top tier Indonesian institutions. The program offers a valuable opportunity for Indonesia’s emerging research talent to form international connections and develop research skills at Australia’s best university*. 

* QS World University Rankings 2021/22

Hear from our FRT cohort

Value and benefits

Please note: 2022 round of the FRT program will comprise remotely supervised projects only and scholars will not be travelling to the ANU to participate in these projects. Therefore, no monetary award or stipend will be offered to scholars selected as part of the 2022 FRT round. However, all scholars will be provided with the opportunity to participate in a range of professional development, networking, and socio-cultural activities and events. 

The value of each FRT award is A$6000 [not applicable for FRT 2022 round].

FRT awards provide selected Indonesian students with an opportunity to travel to ANU to pursue collaborative research, for a period of 10-12 weeks, in a range of Science, Health and Medicine disciplines.

The amount offered under the FRT program must be utilised to directly support the recipient’s participation in collaborative research at the ANU Colleges of Science, Health & Medicine and may be allocated towards costs associated with, but not limited to: return airfare, visa (including any associated medical expenses), travel insurance, accommodation, and general living expenses [not applicable for FRT 2022 round]. The management of award funds is the responsibility of the recipient. 

Eligibility

Awards are offered under two distinct categories:

  • Students: Senior undergraduate and postgraduate students at partner institutions
  • Staff: Academic faculty members at selected universities/institutions and research-focused staff employed at selected government departments. 

Collaborating institutions in Indonesia may be invited to nominate candidates for only one or both categories. Details on which category/categories an institute can nominate candidates for will be provided to collaborating institutions directly.

To be eligible for an FRT award, the candidate must:

  • be a citizen of Indonesia residing in Indonesia;
  • be able to demonstrate a high level of academic ability and research potential;
  • be an academic staff member or a student enrolled in a program at a collaborating institution in Indonesia;
  • be nominated for award consideration by a collaborating Indonesian institution specified by the ANU Colleges of Science, Health & Medicine;
  • be seeking to undertake a research project in one of the specific fields of research proposed by the ANU Colleges of Science, Health & Medicine; and,
  • have not previously received an FRT award from the ANU Colleges of Science, Health & Medicine.

In exceptional circumstances, applications from students enrolled at institutions other than the selected partner institutions may be permitted at the discretion of the Dean of either of the two Colleges, at the request of a Research School Director.

Research areas

Research School of Astronomy and Astrophysics

Research Area/Group/Project Short description of Research Area/Group/Project
Star formation

Computational project on the role of turbulence, magnetic fields, and stellar feedback, for the formation of stars.

Supervised by Christoph Federrath

Unveiling substructures in groups and clusters of galaxies

https://erosita.mpe.mpg.de/edr/ http://www.gama-survey.org/

Clusters of galaxies are the most massive objects in our Universe. According to the current formation model, they form through hierarchical mergers of smaller groups of galaxies. Combining X-ray data from the eROSITA satellite and optical data from the GAMA galaxy survey, we will investigate whether the detected groups and clusters show substructures, which are crucial to understand galaxy evolution. 

Supervised by Stefania Barsanti & Matthew Colless

Spin-filament alignments of the internal orbital structures of galaxies

https://erosita.mpe.mpg.de/edr/ http://www.gama-survey.org/

The study of how galaxies acquire their angular momentum in the cosmic web is a crucial tool to complete our understanding of galaxy formation. In this project we will analyze the alignments of the spin axes of  spatially-resolved SAMI galaxies, dissected into their dynamical stellar components, with respect to cosmic filaments reconstructed from the GAMA survey. 

Supervised by Stefania Barsanti & Matthew Colless

How is the flip of the spin-filament alignment mantained?

https://erosita.mpe.mpg.de/edr/ http://www.gama-survey.org/

The parallel alignment between the spin axis of a galaxy and its closest cosmic filament can be flipped to perpendicular by a merger, driving the galaxy's morphological transformation. Using the GAMA and SAMI galaxy surveys, we will investigate what are the key processes that contribute to maintaining the perpendicular trend, with particular focus on the activity of the galaxy's central black hole. 

Supervised by Stefania Barsanti & Matthew Colless

Galaxy Evolution modelling

Investigating the evolution of dust content and fundamental galaxy properties using Dusty SAGE galaxy evolution model and SAMI galaxy survey.

Supervised by Dian Triani

Dusty SAGE (https://github.com/dptriani/dusty-sage) is a new galaxy formation model that includes a self-consistent dust treatment (Triani+ 20). Such a model can be a powerful tool to investigate the evolution of fundamental galaxy properties (star formation history, stellar mass, etc.) at high redshift, mainly because they are mostly hidden by their dust component. Results from the model will be combined with observational datasets from the SAMI galaxy survey.

SAMI 3D spectroscopy survey

Explore the impact of aperture size on emission-line diagnostics separating star formation and active galactic nuclei (AGN). Specifically, this project applies emission-line diagnostics to SAMI 3D spectroscopy data with various aperture sizes, studies the variations statistically, and finds evidence of star formation or an AGN that is not revealed by the aperture spectra.

Supervised by Matthew Colless and Sree Oh

Mathematical Sciences Institute

Research Area/Group/Project Short description of Research Area/Group/Project

Analysis and Partial Differential Equations

Supervised by Ben Andrews

Projects ranging from PDE theory to Differential Geometry, which would probably be best tailored to the particular experience and previous knowledge of the student.  Examples could include:  Isoperimetric inequalities, the geometry of convex bodies, Eigenvalues of domains and surfaces, Geometric flows such as curve-shortening flow and Ricci flow, variational problems such as minimal surfaces and harmonic maps, or topics in advanced differential geometry (such as comparison theorems, convergence of manifolds, vector bundles).

Analysis and Partial Differential Equations

Supervised by Pierre Portal

Harmonic, stochastic, and/or functional analysis of PDE and SPDE. The specific project will be tailored to the scholar's experience and interest. 

Algebra and Topology

Supervised by Joan Licata

Surface mapping class groups are interesting from both a topological and algebraic perspective. This project will examine various approaches to finding finite presentations of mapping class groups.

Algebra and Topology

Supervised by Vigleik Angeltveit

Algebraic topology

Computational and Applied Mathematics

Supervised by Matthew Hole

https://maths.anu.edu.au/research/groups/computational-mathematics/plasma-theory-and-modelling https://www.ipr.res.in/

A numerical study of the impact of pressure anisotropy across a broad range of ITER scenarios with external heating. The project would involve applying / developing existing remapping tools to distinguish the change in toroidal confinement magnetic geometry cause by an anisotropy modified current profile. The topical area is fusion science within computational / applied mathematics.

Computational and Applied Mathematics

Supervised by Kenneth Duru

High fidelity numerical methods for multi-scale wave propagation problems. 
Multi-physics/multi-scale problems, simultaneously coupling different physical phenomena at different scales in space and time, occur in many applications. One example is simulations of coupled elastic deformation and magma flows during volcanic eruptions, and the associated waves, as well as earthquake source process, coupling frictional failure on the fault to wave propagation off the fault, in the elastic medium. To effectively simulate such problems, advanced methods and hybrid solvers coupling different numerical methods with dynamic adaptivity are essential, as well as the availability of sufficient computational resources. The specific aims of this research may include: 
1. The development of provably stable hybrid solvers that couple discontinuous Galerkin (DG) finite element methods to summation-by-parts finite difference (FD) methods for efficient numerical simulation of multi-scale and/or multi-physics wave propagation problems. 
2. Rigorous mathematical analysis of a stable and high order accurate coupling with nontrivial boundary conditions for a class of DG, finite volume and FD approximations with efficient explicit or semi-explicit time discretisation. 
3. Efficient and scalable implementation of numerical methods for waves in a scalable HPC framework for large scale numerical simulations on supercomputers 

Computational and Applied Mathematics

Supervised by Rowena Ball

orcid.org/0000-0002-3551-3012

Applied maths project, in which the student studies perturbed dynamical systems that model thermochemical problems, computationally and analytically. The application relates to the emergence of life on Earth and possibly on other planetary bodies in the solar system, and the aim is to identify prebiotic systems that function best in a gradient-driven, fluctuating environment.

John Curtin School of Medical Research

Research Area/Group/Project Short description of Research Area/Group/Project
Predicting cell-type specific combinatorial binding of neuronal transcription factor network by deep learning The adult Drosophila peripheral nervous systems (PNS) are mechano-sensory organs built according to a strict lineage plan directed by regulatory networks, and are an excellent model system for cell specification. Decades of genetic studies revealed that cell-type specific transcription factors (TFs) collaborate to specify PNS fates. However, much remains to be understood on how high-level TFs execute their function via target networks. We generated genomic binding data for the 10 PNS TFs using ChIP-seq and ChIP-nexus assays. By combining them with single cell accessibility data (sciATAC-seq) and RNA-seq data (scRNA-seq), we are building deep learning models that predict cell-type specific chromatin accessibility from TF binding motif combination and precise gene expression patterns and identifies cell-type from the combination of genomic and epigenomic input features.

Discover cooperation and competition of RNA binding proteins by deep learning

This project is to build a deep learning model to detect RNA binding protein (RBP) and RNA interaction and gain insights into RBP’s role in post-transcriptional regulation.  The student will learn to build a deep neural network model applied to a genomic application. (The student is expected to have programming skills in python, R, or C++). 

Development of the next generation of CRISPR gene editing tools This project will consist in generating new CRISPR variants to increase cutting activity and testing these enzymes for DNA cleavage.

Identifying fluid shear factors in fibrosis and stroke

https://jcsmr.anu.edu.au/research/groups/lee-group-optical-biofluidic-imaging-group

https://leenewt3.wixsite.com/aomlab

In this project, we aim to investigate the role of fluid shear in mechanotransduction pathways of mammalian cells that relates to cell differentiation, migration and proliferation. Student will use cutting edge imaging assays along with 3D microfluidics, and bioimage informatics developed at ANU.

Research School of Physics

Research Area/Group/Project Short description of Research Area/Group/Project

Metasurface optical sensors for bio and gas sensing

In this project, we will focus on development of dielectric metasurfaces as optical sensors for refractometric detection of bio and gas molecules for healthcare and environmental monitoring. Specific aims of the project includes design, fabrication, characterisation and optimisation of these metasurfaces for sensing. Additionally, to attain higher sensitivity and selectivity, different surface chemical and physical modification strategies will be investigated. 

Selection

The selection process for FRT program will be undertaken by a selection committee which will consider the following factors when shortlisting FRT award recipients:

  • academic merit and candidate’s research proposal;
  • ranking of nominated candidates by the collaborating Indonesian institution; 
  • English language ability of candidates; and,
  • ranking of nominated candidates by the host ANU research school

Nomination and application

The FRT award program is only open to candidates from specific collaborating institutions in Indonesia. Every year, the collaborating institutions will be provided with nomination instructions, including a link to the nomination and application portal.

For FRT 2022 round (comprising remotely supervised projects only):

Applications open: 7 February 2022

Applications close: 20 March 2022

Further information

Funds awarded under the FRT program must be fully expended by the recipient within 12 months from the date on which the recipient was notified of their award.

It is suggested that the candidates undertake their research project at ANU from June – August. However, the timing can be negotiated between the award recipient and the host Research School/Research group at ANU.

The Research Schools, in consultation with the award recipient and the collaborating Indonesian institution, may also extend the research project beyond 12 weeks. Any ongoing funding to support research experience/projects longer than 12 weeks will be at the discretion of the ANU Research School and the Research group/department hosting the student.

Reference documents

Contact

Please speak to the international relations/collaboration office of your institution to check if it is an FRT collaborating institution. Your international relations office will run the first selection round for your institution and can answer any questions about the program. If your institution is not a collaborating institution or your international office cannot answer your questions, please contact ANU at frt.science@anu.edu.au.

Indonesian students at ANU