PhD Scholarship "AI-driven microscopy and spectroscopy"

La Trobe University PhD Scholarship "AI-driven microscopy and spectroscopy"

Join to apply for the La Trobe University PhD Scholarship "AI-driven microscopy and spectroscopy" role at La Trobe University.

Overview

This prestigious La Trobe University scholarship, in partnership with the Australian Office of National Intelligence, will be awarded to an outstanding applicant interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface development skills will be developed.

Position details

• Position to be based at La Trobe Melbourne Campus.
• An amount of $40,000 per annum for 3.5 years, fee relief additional, fortnightly stipend.

Benefits

• a stipend scholarship for three and a half years, with a value of $40,000 per annum (pro-rata), to support your living costs.
• a fee-relief scholarship for up to four years.
• opportunities to work with La Trobe's researchers in state-of-the-art laboratories and access to professional development programs.
• a collaborative project, including time spent with partner organisations.
• opportunities to travel to conferences in Australia and overseas.

Eligibility Criteria

To be eligible to apply for this scholarship, applicants must:

• be Australian citizens, Australian permanent residents, or New Zealand special category visa holders (strict requirement).
• meet the entrance requirements for the Doctor of Philosophy.
• be enrolled full-time and undertake their research at the La Trobe University Melbourne (Bundoora) campus if selected.

In selecting successful applicants, we prioritise applications from candidates who:

• have an outstanding record of prior performance.
• have completed a Masters by Research or other significant body of research, such as an honours research thesis or lead authorship of a peer-reviewed publication, assessed at a La Trobe Masters by research standard of 75 or above.
• have grounding in relevant disciplines including physics, chemistry, biology, engineering, machine learning / data science, coding.

How To Apply

This is an Expression of Interest process. To express your interest in applying, candidates must supply information via email to oni.scholarship@latrobe.edu.au:

• current academic transcript including Masters / Honours grades (or note completion date).
• a statement outlining motivation and suitability for this opportunity, specific skills and experience relevant to the PhD project, and how this opportunity fits with career plans.
• a statement confirming that you are currently an Australian citizen, Australian permanent resident, or New Zealand special category visa holder.

Shortlisted applicants will be required to attend an interview and may be asked to participate in further evaluation activities. The successful applicant will be required to have a working with children check (WWCC) prior to commencing the position, to be paid for by the applicant. The University will carefully review and consider your expression of interest for this scholarship. Successful candidates will be invited to submit a full application for candidature and scholarship.

See Also

https://www.latrobe.edu.au/study/scholarships/other/connecting-spatial-and-spectral-information-understanding-complex-materials-systems-at-the-molecular-level-with-machine-learning-phd-scholarship

Who To Contact For Further Information

Professor Paul Pigram, oni.scholarship@latrobe.edu.au.

Closing date

Closing date for applications: 24/09/2025

Job Details

• Seniority level: Internship
• Employment type: Full-time
• Job function: Other
• Industries: Higher Education

Melbourne, Victoria, Australia

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