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Phd Scholarship in Multimodal Biomedical Imaging

4 months ago

Clayton, Australia Monash University Full time

**The Opportunity**

Monash University is a member of the Group of Eight, an alliance of leading Australian universities recognised for their excellence in teaching and research. According to US News 2022, Monash ranks among the Top 50 in the world and is also recognised as Reuter’s Most Innovative University in Australia.

Benefits to PhD students:

- Obtain top-tier research training at Monash FIT within a renowned multidisciplinary team
- Work with a cohort of talented students/fellows to address real-world problems and challenges in medical imaging
- Access opportunities to collaborate with prominent industry partners like Siemens Healthineers and Monash Biomedical Imaging
- Opportunity to have placement at Siemens Australia, depending on performance
- A successful applicant will have an excellent academic track record in AI, data science, computer science, computer vision, or a related domain (a background in medical imaging is advantageous)
- Proficiency in Python programming or familiarity with deep learning frameworks like PyTorch, TensorFlow
- Exceptional communication abilities, both written and verbal, in English

Applicants will be considered if they meet the criteria for PhD admission at Monash University.

Scholarship holders must be enrolled full time and on campus. Applicants who already hold a PhD will not be considered.

Successful applicants will be expected to enrol by Saturday 1 of June 2024, but there may be some flexibility regarding the date of commencement.
- A cover letter that includes a brief statement of the applicant’s suitability
- A curriculum vitae, including a list of any published works, conference presentations and relevant work experience
- A full statement of academic record, supported by scanned copies of transcripts and relevant certified documentation
- A copy of the applicant’s honours or master thesis
- English proficiency results meeting Monash enrolment requirement (if applicable)
- Contact details of two academic referees

**References**

research.monash.edu/en/persons/zhaolin-chen

**Closing Date**

Tuesday 30 April 2024, 11:55 pm AEDT

**Supporting a diverse workforce