Unlock the Potential of Materials Science with Our PhD Scholarship
About the Project
We are seeking a highly motivated and talented PhD student to join our research team and contribute to the development of novel machine learning algorithms for analyzing mass spectral imaging data streams in real-time.
Key Responsibilities
* Design, implement, and test advanced machine learning workflows for processing complex data sets.
* Analyze and interpret results to gain insights into materials properties and behavior.
* Develop a pathway for future autonomous instrument control and self-directed experimentation.
Required Skills and Qualifications
* Bachelor's or Master's degree in Physics, Chemistry, Biology, Engineering, or related field.
* Strong background in machine learning, data science, and programming languages (e.g., Python, R).
* Demonstrated ability to work independently and collaboratively as part of a research team.
Benefits
* Stipend scholarship for three and a half years to support living costs.
* Fee-relief scholarship for up to four years.
* Opportunities to work with leading researchers in state-of-the-art laboratories and access to professional development programs.
* Collaborative project with time spent with partner organizations.
* Travel opportunities to conferences in Australia and overseas.
Eligibility Criteria
* Australian citizenship, permanent residency, or New Zealand special category visa holder.
* Meet the entrance requirements for the Doctor of Philosophy.
* Agree to be enrolled full-time and undertake research at La Trobe University Melbourne campus.