Jeewani Anupama Ginige
3 months ago
Fully Funded PhD in Multilingual Conversational AI for Clinical Settings at Western Sydney University Western Sydney University in Australia
Degree Level
PhD
Field of study
not provided
Funding
This PhD is fully funded, offering a tax-free stipend of AUD $38,000 per annum for up to 3 years, clinical trial support up to AUD $5,000, a 1-day/week embedded industry internship, and Research Training Program (RTP) support for essential research costs such as laptop and conference attendance.
Deadline
Expired
Country
Australia
University
Western Sydney University

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Where to contact
Official Email
About this position
Western Sydney University’s School of Computer, Data and Mathematical Sciences is offering a fully funded PhD opportunity focused on designing and deploying a multilingual, safety-first conversational agent for real clinical settings. The successful candidate will develop a mobile app powered by artificial intelligence and participate in clinical validation with clinicians actively involved.
The project emphasizes cutting-edge research in conversational AI, natural language processing, large language models, and health informatics, with a strong focus on safety and real-world impact. The position includes a generous tax-free stipend of AUD $38,000 per year for up to three years, additional clinical trial support up to AUD $5,000, and a one-day-per-week embedded industry internship to gain practical experience. Essential research costs, such as laptops and conference attendance, are covered through RTP support.
Applicants should have a robust background in computer science, AI, or software engineering, with research training (Honours, MRes, MPhil, or publications). Key skills include Python, modern machine learning frameworks (PyTorch/TensorFlow), solid mathematics, and the ability to build AI-powered applications. Experience in NLP, LLMs, RAG, safety/guardrailing, evaluation/MLOps, or multimodal I/O is highly desirable. The PhD program at Western Sydney University is internationally recognized, with candidates conducting independent research under expert supervision.
Applications are open for quarterly intakes, and the deadline for this opportunity is November 30, 2025. Interested candidates should review eligibility and project details, contact the lead researcher (Prof. Jeewani Anupama Ginige) to discuss fit and request a support letter, and submit their application via the official PhD page.
For further information, visit the university’s website or contact Prof. Ginige directly.
Funding details
This PhD is fully funded, offering a tax-free stipend of AUD $38,000 per annum for up to 3 years, clinical trial support up to AUD $5,000, a 1-day/week embedded industry internship, and Research Training Program (RTP) support for essential research costs such as laptop and conference attendance.
What's required
Applicants should have a strong background in computer science, artificial intelligence, or software engineering, with research training such as Honours, Master of Research, Master of Philosophy, or relevant publications. Required skills include proficiency in Python and modern machine learning frameworks (PyTorch or TensorFlow), solid mathematics, and the ability to build AI-powered applications. Experience in natural language processing, large language models, retrieval-augmented generation, safety/guardrailing, evaluation/MLOps, or multimodal input/output is highly desirable.
How to apply
Review the eligibility and project details. Contact the lead researcher to discuss your fit and request a support letter. Submit your application via the official PhD application page. Use the provided link to apply before the deadline.
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