PhD Scholarship at CSIRO & Monash

Location: CSIRO, Mechanical and Aerospace Engineering
Closing Date: 31 October 2023
Duration: 3 years
Scholarship Title: Development of physics-constrained reduced order modelling of thermally driven flows

Monash University in conjunction with the CSIRO has an exciting opportunity for a PhD candidate to undertake research on the development of physics-constrained reduced order modelling of thermally driven flows. This fundamental research would enable the rapid computation, sensitivity analysis and robust design in many applications including: energy generation systems; heating, ventilation and cooling; and climate change response under varying levels of future greenhouse gas forcing.

Candidates must have:

  • an outstanding knowledge of mathematics and/or theory of fluid mechanics;
  • programming experience (e.g. python, Julia, C/C++, F90);
  • experience in numerical simulations and/or machine learning.

The successful candidate will be eligible for a top-up scholarship up to $10,000 per year.
Closing date for Australian permanent residents and citizens and NZ citizens is: 31st October 2023.

For further details, click here.

$1,500 Annual Essay Writing Contest Scholarship @IvyPanda

Agency: IvyPanda
Award:  Annual Essay Writing Contest Scholarship
Closing Date: 30 June 2023 provides $1500 in scholarships annually for talented students who demonstrate mastery of essay writing.

Scholarships will be awarded to two winners: the winner will receive $1,000; the runner-up prize is $500.

How to apply

PhD opportunity in multi-scale models in immuno-epidemiology

La Trobe University
Department of Mathematics and Statistics

Closing Date: 30th June 2021

We seek expressions of interest from prospective students to undertake a PhD in the research area: multi-scale models in immuno-epidemiology. The spread of a pathogen (for example, a virus or bacteria) through a population is a multi-scale phenomena, influenced by factors acting at both the population and within-host scales. At the population scale, transmission is influenced by how infectious an infected host is. Infectiousness in turn depends on the balance between pathogen replication within the host and immune/drug control mechanisms.  This project aims to develop new mathematical frameworks for simultaneously modelling these two scales. This will provide a platform for the rigorous study of complex biological interactions – such as the emergence and combat of drug-resistance – that shape society’s ability to control infectious diseases in human, animal and plant systems.

This PhD is funded by an Australian Research Council Discovery Project led by Prof James McCaw and A/Prof Nic Geard at the University of Melbourne, and Dr Rebecca Chisholm at La Trobe University. The successful applicant will be based at La Trobe Bundoora Campus and work closely with all investigators.

Graduates with a strong background in applied mathematics and with strong programming skills in either Python, Matlab, or R are encouraged to apply. Experience in infectious disease modelling is preferred, but not essential.

Further details:

How to apply

  • review details on how to apply for candidature at La Trobe University
  • contact Dr Rebecca Chisholm (, with any enquiries or to express an interest in the project.
  • when you have received in-principle agreement for supervision, complete and submit your application by 30 June 2021 for admission into La Trobe’s PhD program, indicating you wish to be considered for this scholarship on the application.

The University will carefully review your application and consider you for this scholarship. You will be advised of an outcome in July 2021.

Ph.D. position

School of Mathematical and Physical Sciences
The University of Newcastle

Closing Date: 31st March 2021

A Ph.D. position is available in 2021 to work with Dr Stephan Tornier and other members of the Zero-Dimensional Symmetry Research Group on the ARC DECRA project “Effective classification of closed vertex-transitive groups acting on trees”.

Candidates with a strong interest and demonstrated skills in at least one of the following areas are encouraged to apply: (topological) group theory, computational algebra (e.g. with GAP), graph theory, combinatorics.

The successful candidate is expected to be able to work independently and self-motivated, as well as contribute collaboratively to the research team.
An ARC PhD stipend at the 2021 indexed rate of $28,612 p.a. is available for up to 3.5 years.

Essential qualifications

  • Masters or First Class Honours in mathematics, or equivalent
  • Excellent written and oral communication skills in English
  • Demonstrated organisational and time management skills
  • Demonstrated problem solving ability and analytical skills
  • Demonstrated ability to work independently and collaboratively

Desirable qualifications

  • Demonstrated skills in (topological) group theory, computational algebra, graph theory and combinatorics.
  • Programming skills

Please direct expressions of interest to by March 31, 2021.

PhD in geometric group theory/theoretical computer science

University of Technology Sydney
School of Mathematical and Physical Sciences

A PhD place is available starting in 2021 in the School of Mathematical and Physical Sciences at the University of Technology Sydney, to work with Professor Murray Elder (UTS) and Dr Adam Piggott (ANU) on the project “Geodetic groups: foundational problems in algebra and computer science”.

Candidates with a strong interest and demonstrated skills in algebra, combinatorics and/or theoretical computer science are sought, who are able to contribute collaboratively to a research team as well as being able to work independently and self-motivated.

The recipient must be a domestic student (Australian Citizen or Permanent Resident or NZ Citizen). Applicants from all backgrounds including traditionally underrepresented groups are welcomed. 

Essential Skills/Qualifications 

  • First class Honours or MSc or equivalent 
  • Excellent written and oral communication skills in English 
  • Demonstrated organisational skills, time management and ability to work to deadlines 
  • Demonstrated problem solving abilities and analytical skills 
  • The ability to work independently as well as collaboratively as a member of a team 


  • Previous studies or work in geometric group theory and/or formal language theory, automata, rewriting systems 
  • Programming skills 

The recipient will receive a domestic Commonwealth Research Training Program scholarship (RTP Stipend) at the 2021 indexed RTP rate of $28,597 pa for 3 years.

The successful student will be expected to enrol for Research Session 1 (previously known as Autumn Session) between 1 January to 30 May 2021.     

Please direct enquiries to 

Two PhD Scholarships in calcium dynamics

Department of Mathematics
University of Auckland

Closing Date: 15th January 2021

Two PhD studentships are available in the Department of Mathematics at the University of Auckland, for work on a project in the general field of calcium dynamics. Successful applicants will have have an Honours or Masters degree in some area of quantitative science (such as Mathematics, Physics or Engineering) and will have a demonstrated interest in applications of mathematical techniques to real-world problems and data, particularly those arising in medicine, physiology or biology. A good background in dynamical systems and scientific programming is desirable. Successful applicants will work with the researchers James Sneyd, Vivien Kirk and Marie Graff at the University of Auckland, and Martin Wechselberger at the University of Sydney. 

The positions will be available starting in March 2021, and come with funding that will cover tuition fees and an annual stipend of $27,500 NZD for three years.

Interested candidates should send their cv, a copy of their academic record, and a brief statement of why they are interested in the position, to James Sneyd, at, or to Vivien Kirk, at There is no formal closing date for applications, but those received by January 15th will receive priority. 

PhD scholarship: Mathematical modeling in infection and immunity

Infection Analytics Program
Kirby Institute
UNSW Sydney

The Infection Analytics Program at the Kirby Institute is looking for talented students with a strong interest in applying quantitative approaches to solving major challenges in infectious diseases, health and immunity.

The Group and Projects

The Infection Analytics Program is a team of mathematicians, physicists and other quantitative specialists, working to understand infection and immunity. The group primarily works on HIV and malaria and has an outstanding track record of research, making a major contribution to the medical and biological sciences. Students who join the group will be trained in interdisciplinary research with a strong emphasis on using mathematical and quantitative approaches to interpret experimental and clinical data. The aim of our research is to address key questions, such as how antimalarials and immunity operate in malaria infections and how to optimise treatment for HIV. More information on the group is available here.


Applicants are sought for domestic PhD students to commence studies in 2021. Top-up scholarships will be awarded to students in addition to the Research Training Program (RTP) awards of 12,000 p.a. for a duration of 3.5 years.

Applicant Requirements

  • A quantitative background (e.g. mathematics / physics / statistics)
  • A strong interest in developing a better understanding of real challenges in infection and immunity.
  • A strong interest in applying modelling and statistics to better understand experimental and clinical data.
  • The scholarships are highly competitive, with a requirement for first class honours (or equivalent) for consideration.

How to apply

Applications are open now for students to commence in May 2021. Please apply by providing your academic transcripts and CV to:

Professor Miles Davenport (,
Dr. Deborah Cromer (, or
Dr. David Khoury (

Joint PhD in Random Matrix Theory: “Critical phenomena in Complex and Real Spectra”

KU Leuven / University of Melbourne

The Universities of Melbourne and KU Leuven have created a new, international joint PhD. Graduate researchers spend a minimum of 12 months at each university and are eligible to graduate with a jointly awarded PhD recognised with a testamur from each university.

Successful candidates:

  • Gain complementary skills from international colleagues to increase the impact of their research
  • Grow their international networks and develop a truly global perspective
  • Become part of two high-quality research environments and cultures

Two funded projects are available as part of a joint PhD collaboration between The University of Melbourne (UoM) and KU Leuven (Belgium). Graduate Researchers (GRs) participating in the joint program will be enrolled at both institutions and will spend a minimum of 12 months at the host institution. The research work will be performed under joint supervision, with one primary supervisor from each of the two institutions. All candidates must meet the eligibility requirements to successfully enrol at both universities. The successful candidates will be funded by either UoM or KU Leuven. This funding includes a full scholarship, health insurance and mobility support.

The project is in the field of Random Matrix Theory (RMT) and encompasses topics in Probability, Analysis and Mathematical Physics. You will analyse the relation of real and complex eigenvalues of certain deformations of random matrix ensembles at finite as well as infinite matrix dimensions. Applications can be found in quantum field theory, for instance. You do not need prior knowledge in RMT, though good analytical skills are advisable as well as a lot of enthusiasm.

Essential Skills/Qualifications

  • MSc or equivalent
  • Excellent written and oral communication skills in English
  • Demonstrated organisational skills, time management and ability to work to priorities;
  • Demonstrated problem solving abilities and analytical skills;
  • The ability to work independently and as a member of a team.

Information on projects, eligibility, application process and closing dates is available on the website.

Find out how to apply.

PhD Scholarship in Statistics or Applied Mathematics for climate modelling

University of Newcastle
School of Environmental and Life Sciences

The University of Newcastle is seeking a PhD candidate to undertake doctoral study quantifying uncertainty in climate modelling applied at high resolution.  The candidate will be supported through an industry scholarship (APA equivalent) provided by Climate Risk, an industry partner.  Climate Risk’s modelling team is based in Newcastle, Australia, and the PhD candidate will also be based in Newcastle. 

Climate Risk is a focussed team and we are seeking candidates with a strong values alignment, i.e., a shared interest in understanding and mitigating climate risk.  Information about Climate Risk is available here:

The research is grounded in a more-than-disciplinary context, i.e., seeking to understand and communicate climate risk for the purpose of mitigating risks to human populations.  This recent story on ABC Online on ‘The rise of red zones of risk’ is helpful for learning more about the research:

We strongly encourage applications from students of diverse backgrounds, inclusive of age, race, ethnicity, religion, culture, ability, sexuality, and gender. 

Applications will be assessed on a rolling basis. 

For more information and to apply: Dr Liam Phelan, School of Environmental and Life Sciences, Faculty of Science, University of Newcastle.  +61 (0)2 4921 6464,