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Advanced PhD Opportunities in Artificial Intelligence

3 weeks ago


Edith Creek, Tasmania, Australia beBeeMachineLearning Full time $60,000 - $75,000

A leading research institution is seeking highly motivated and talented researchers to join its team as PhD scholars in machine learning.

About the Research Opportunity

The successful candidates will have the opportunity to work on cutting-edge research projects that address critical societal needs.

The two available PhD projects focus on applications of machine learning and deep learning:

  • A Machine Learning Approach for Predicting Coronary Artery Disease Risk Using Gut Microbiome Data.
  • Development of a Deep Learning-Based Automatic Approach for Marine Habitat Monitoring from Remote Sensing and Visual Imagery.

The research teams offer interdisciplinary expertise and strong industry links, ensuring robust academic and professional guidance for the selected candidates.

Candidate Profile

Eligible applicants should meet the following criteria:

  • Hold a Master's degree in Computer Science, Data Science, Electrical Engineering, or Electronics Engineering.
  • Achieve a minimum CGPA of 3.5 out of 4.
  • Possess research publications in ISI/Scopus indexed Q1 ranked journals.
  • Have valid English language proficiency scores (IELTS, PTE, or TOEFL).

The ideal candidate is highly motivated, possesses a solid quantitative and analytical background, and is eager to apply advanced computational methods to either medical or environmental data. A collaborative mindset and a genuine interest in interdisciplinary research are essential.

Application Process

To be considered, interested candidates should submit the following documents:

  • A comprehensive CV with contact information for two referees.
  • A 2-page research proposal outlining their project ideas and objectives.
  • Academic transcripts demonstrating their qualifications and achievements.
  • Valid English test scores indicating their language proficiency.

Candidates should use the subject line: "PhD Scholarship Application"