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I use time-series analysis and statistical machine learning to understand the structure of scientific data, with applications in brain connectivity and dynamics. I am committed to reproducible and open science.

Undergraduate or visiting student research

Talented undergraduates at Sydney University can apply for a summer research scholarship here

Doing a PhD

General Advice

Starting a PhD is a major undertaking: one is signing up to thinking about a topic for many consecutive years, and being guided in their journey towards becoming an independent scientific thinker by a specific supervisor. It's very important to pick a research area you're passionate about and a supervisor you respect, can work well with, and who is able to support you. Some general tips are below:
  • It's important to respect the research content and style of your supervisor: read their papers and other outputs they've produced.
  • It's important to be able to work productively and feel supported through your PhD tenure. If possible, do a short research project with the potential supervisor to get a feel for the relationship.
  • All supervisors have positives and negatives. You should talk to the supervisor's past and current students to try to get an open and frank understanding of what being their student is like. Once you have a clear picture of what the positives and negatives of your potential supervisor are, make the judgement about whether that combination will suit your style and what you hope to get out of your PhD.

Doing a PhD with me at Sydney Uni

The fundamental requirement to be admitted to a PhD is an academic qualification that included a significant research component. Obtaining a scholarship to fund your PhD is very competitive; options are summarized here. If you're unsure about your competitiveness, feel free to contact me and I can help you to navigate the application process.
I have funding available to provide additional support to talented PhD students who are able to obtain competitive scholarship funding.
Funding for Local (Australian) PhD Students
You should apply for a Research Training Program (RTP) Scholarship, or a University of Sydney Postgraduate Award (UPA).
Funding for International PhD Students
International Scholarships for Australia (Research Training Program or University of Sydney International Scholarship) are especially competitive. High marks are a prerequisite for obtaining PhD funding; only applicants with a weighted average mean in excess of 80 (corresponding to a first-class honours) are considered. As well as high marks, students typically require some research experience (such as a published paper), and students from highly-ranked institutions can also have an advantage. Some details of the criteria used are here. Some additional examples of funding sources for postgraduate research study are here. Australia Awards are available for students from countries with which Australia has a bilateral aid program: list of countries. The Endeavour Scholarship is another one to look into.
General funding sources
  • An IBM PhD fellowship on high throughput time-series analysis and machine learning.
  • A full list of research scholarship funding for Sydney University is here.
Preparing your application
Details for admission into a PhD program at Sydney University are here. Your PhD application will need to include a research proposal, which I will help you write around a specific research project, as well as two academic references.

Getting through a PhD

A major reason why PhDs are difficult is that the skills that make a successful researcher are quite different to what make a good undergraduate student. Here is some useful material on the challenges of research life:
Short-term accomodation in Sydney
A summary, focused on longer-term stays, is here, with a log of options for off-campus housing here I would recommend starting with an email to the accomodation team. Some of the residential colleges often have spare rooms that visitors can use.

What I use

I use TextMate 2 for writing manuscripts in LaTeX.

I use Atom for coding.

I use Matlab and python for scientific data analysis.

I use Evernote for research note taking and collaborating.

I use git, GitHub, and SourceTree for version control and collaboration.