PhD Opportunities in Multimodal Large Language Models, Safety, and Generative AI Monash University in Australia

Monash University is offering several PhD opportunities in cutting-edge areas of artificial intelligence, including Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. These positions are ideal for candidates passionate about advancing the state-of-the-art in AI and its applications to human-centric problems.

The research topics span the development and safety of multimodal language models, generative AI systems, and their use in understanding complex human behaviors and interactions. Successful applicants will join a vibrant research environment, collaborating with leading experts and contributing to high-impact publications in top-tier conferences such as CVPR, ICCV, ECCV, and NeurIPS.

Funding is available for outstanding candidates. Those with a strong publication record in major conferences and a master Weighted Average Mark (WAM) above 80 are eligible for a full PhD scholarship. Additionally, applicants who meet these criteria may be offered a paid Research Assistant (RA) position to further demonstrate their research potential and strengthen their publication record before commencing the PhD.

Eligibility requirements include a master WAM above 80, relevant research experience, and evidence of high self-motivation. Preference will be given to candidates with publications in leading AI conferences. The program seeks individuals who are driven to push the boundaries of AI research and contribute to the safety and understanding of advanced language models.

Applications are accepted via the Monash University Supervisor Connect portal. Interested candidates should prepare their academic transcripts, CV, and publication list, and submit their application through the provided link. For further details, applicants are encouraged to contact the program via the application portal.

This is a unique opportunity to join Monash University’s renowned research community and work on transformative AI technologies with real-world impact. Funding includes full PhD scholarships and paid RA positions for qualified candidates. Apply now to take the next step in your research career.