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Ai-driven microscopy and spectroscopy research fellow

Melbourne
beBeeMachineLearning
Posted: 15 August
Offer description

The La Trobe University PhD Scholarship in AI-driven Microscopy and Spectroscopy presents a unique opportunity for a research student to contribute to the development of machine learning workflows for real-time analysis of mass spectral imaging data streams.


Job Details

Position: PhD Researcher

* Location: La Trobe Melbourne Campus

The successful applicant will work closely with our outstanding researchers to develop advanced machine learning algorithms for analysing complex data streams. A pathway for future autonomous instrument control and self-directed experimentation will be developed, recognising the challenge presented by the integration of multiple complex systems.

Coding and user interface development skills will be developed through this project, enabling the researcher to design and implement innovative solutions for data analysis.

This scholarship is open to Australian citizens, permanent residents, or New Zealand special category visa holders who have an outstanding record of prior performance, completion of a Masters by Research or other significant body of research, and outstanding grounding in relevant disciplines including physics, chemistry, biology, engineering, machine learning/data science, coding.

The benefits include a stipend scholarship, fee-relief scholarship, opportunities to work with our researchers, and access to professional development programs.

Shortlisted applicants will attend an interview and may be asked to participate in further evaluation activities. Interested candidates should express their interest via email to take the next step in this exciting opportunity.


Key Requirements

* An outstanding record of prior performance
* Completion of a Masters by Research or other significant body of research
* Outstanding grounding in relevant disciplines including physics, chemistry, biology, engineering, machine learning/data science, coding

The ideal candidate will possess excellent communication and teamwork skills, as well as the ability to work independently on complex projects.

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