Postdoctoral Fellow / Senior Research Fellow in Robust Vision Language Models

About the role

The School of Computer Science and Engineering has a fixed-term opportunity for a Postdoctoral Fellow / Senior Research Fellow to contribute to world-leading research in continual learning, computer vision, multimodal foundation models, and adversarial learning. Working on an exciting research project focused on developing continual and robust VLMs, you will investigate novel approaches to continual learning, model pre-training and post-training, with applications in multimodal understanding and reasoning.

This is an outstanding opportunity to undertake high-impact research, collaborate with leading researchers and industry partners, and contribute to advancing the next generation of artificial intelligence technologies. This position offers the opportunity to advance your scholarly research and professional activities on both national and international levels.

Responsibilities

You will contribute to the writing of scientific papers and reports for international journals, participate in conferences and workshops, supervise HDR students, and actively collaborate with industry partners. This role reports to Professor Flora Salim and has no direct reports.

Requirements

• A PhD in Computer Science or a related discipline, and/or relevant work experience.
• Proven commitment to proactively keeping up to date with discipline knowledge and developments.
• Demonstrated track record in research, evidenced by publications in top-tier AI and CV conferences and journals.
• Strong experience in deep learning and/or computer vision, continual learning, vision language models, and developing comprehensive benchmarks.
• Robust coding and software engineering skills, and experience in handling multimodal data, especially videos.
• Experience with post-tuning and/or model editing of multimodal LLMs is preferred for Level B, and required for Level C.
• Demonstrated ability to work in a team, collaborate across disciplines, and build effective relationships.
• Evidence of highly developed interpersonal and organisational skills.
• An understanding of and commitment to UNSW’s aims, objectives, and values in action, together with relevant policies and guidelines.
• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Qualifications

For Level B: A PhD in Computer Science or a related discipline, and/or relevant work experience, with a demonstrated track record in research and strong experience in the required areas.

For Level C: A PhD in Computer Science or a related discipline, and/or relevant work experience, with a demonstrated track record in research, strong experience in all the required areas, and experience in developing or leading the development of comprehensive benchmarks.

Skills

• Deep learning and/or computer vision
• Continual learning
• Vision language models
• Developing comprehensive benchmarks
• Robust coding and software engineering skills
• Experience in handling multimodal data, especially videos
• Experience with post-tuning and/or model editing of multimodal LLMs
• High-level communication skills and ability to network effectively
• Demonstrated ability to work in a team and collaborate across disciplines

Benefits

UNSW offers an outstanding platform to flourish, combining world-class facilities, collaborative networks, and a culture of innovation that supports both career growth and meaningful contributions to the wider community.

Pay

Postdoctoral Fellow (Level B): AUD$133,065 to $156,864 per annum + 17% superannuation

Senior Research Fellow (Level C, Step 1): AUD$161,619 per annum + 17% superannuation

Schedule

Full-time, fixed-term contract – ASAP start until March 2029, located in Kensington, Sydney, Australia.

Australian citizenship is required for project eligibility.