Mohammad Goudarzi
4 weeks ago
Fully Funded PhD in Distributed Systems and Machine Learning at Monash University Monash University in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
The position is fully funded, covering tuition and providing a stipend. Specific stipend amounts are not mentioned, but the opportunity is described as fully funded for PhD study at Monash University.
Deadline
Mar 1, 2026
Country
Australia
University
Monash University Malaysia.
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About this position
PhD Opportunity in Distributed Systems and Machine Learning at Monash University
Dr. Mohammad Goudarzi, Assistant Professor at Monash University, is recruiting dedicated and talented PhD candidates for a fully funded position in the Faculty of Information Technology. The research areas include distributed systems, systems for machine learning, and machine learning for systems, with a focus on impactful and innovative projects. This is an excellent opportunity to join a pioneering research group and contribute to cutting-edge advancements in computer science and information technology.
Research Areas: Distributed Systems, Cloud/Edge Computing, Systems for ML, ML for Systems, Applied Machine Learning.
Eligibility: Applicants must have a WAM of 85+, at least one publication in top-tier journals (CORE A*/A or JCR Q1) or conferences (CORE A*/A), and be prepared for an interview. Candidates should be motivated, intellectually curious, and passionate about research and innovation in the relevant fields.
Funding: The PhD position is fully funded, covering tuition and providing a stipend. The exact stipend amount is not specified, but the opportunity is described as fully funded for the duration of the PhD.
Application Process: Interested candidates should fill out the provided Google Form and email their application, including a CV (with educational background, WAM for each degree, and research outputs) and academic transcripts, to Dr. Goudarzi at [email protected]. The subject line should be: “[Prospective PhD Student] – [Your Name]”.
Deadlines: Internal faculty application deadlines are March 1st, 2026 (Round 1) and August 1st, 2026 (Round 3). Interviews will be conducted before these deadlines.
Contact: After reviewing your documents, Dr. Goudarzi will reach out if you meet the criteria to start the interview process.
For more details, visit the provided LinkedIn and application links. This is a unique chance to advance your academic career in distributed systems and machine learning at Monash University, Australia.
Funding details
The position is fully funded, covering tuition and providing a stipend. Specific stipend amounts are not mentioned, but the opportunity is described as fully funded for PhD study at Monash University.
What's required
Applicants must have a Weighted Average Mark (WAM) of 85 or above, at least one publication in top journals (CORE A*/A or JCR Q1) and/or conferences (CORE A*/A), and must participate in an interview before internal faculty deadlines. Candidates should be dedicated, talented, motivated, and intellectually curious, with a strong interest in distributed systems, systems for machine learning, or machine learning for systems. Submission of a CV detailing educational background, WAM for each degree, and published research outputs, as well as academic transcripts, is required.
How to apply
Fill out the provided Google Form and email your application, including CV and transcripts, to [email protected] with the specified subject line. Ensure your CV includes educational background, WAM, and research outputs. Await contact for interview if shortlisted.
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