Home PhD PhD in Mobile Health and Deep Learning at University of Melbourne, Australia

PhD in Mobile Health and Deep Learning at University of Melbourne, Australia

Melbourne Research Fellowships in University of Melbourne, Australia

PhD in Mobile Health and Deep Learning: Join our School of Computing and Information Systems (CIS) at the University of Melbourne, Australia! We are offering a full scholarship for a PhD program focusing on AI in health, speech and audio processing, deep learning, time series modeling, and wearable sensing. The successful candidate will have the opportunity to work with a renowned team of researchers and collaborate with prestigious universities and industry partners.

Full Scholarship for PhD in Mobile Health and Deep Learning at University of Melbourne

Designation: PhD Student

Research Area: AI in health, speech and audio processing, deep learning, time series modeling, wearable sensing

Location: University of Melbourne, Australia

Eligibility/Qualification:

  • Master’s or Bachelor’s (Honours) degree with first-class honours
  • Strong background in computer science, electrical engineering, or related areas
  • Relevant research experience or publications in esteemed conferences or journals
  • GPA must be an overall H1 (80–100%) grade in undergraduate or master’s degree, or top 5% of graduating cohort
  • Good communication and English language skills (IELTS 6.5/TOEFL 79/PTE 58/CAE 176)
  • Proficiency in deep learning and audio processing; experience in wearable sensing and signal processing is a plus
  • Excellent analytical and software engineering skills with proficiency in Python
  • Proficiency in machine learning algorithms using PyTorch/TensorFlow, etc.
  • Self-motivated, critical thinker, and a good team player

Job Description:
The successful candidate will undertake a challenging and rewarding PhD journey in the field of mobile health and deep learning. They will have the opportunity to collaborate with leading researchers, contribute to cutting-edge research projects, and engage with esteemed university and industry partners.

How to Apply:
If you meet the requirements and are interested in this exciting opportunity, please email ting.dang@unimelb.edu.au with your CV, transcripts, and/or other related documents. Due to the high volume of inquiries, we may not be able to respond to all emails.

Last Date for Apply:
The 4th round of scholarship application closes on July 25, 2024.

© Ting Dang 2024

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