Postdoctoral Fellow / Senior Research Fellow in Robust Vision Language Models in Cambridge

Position Overview

Postdoctoral Fellow / Senior Research Fellow in Robust Vision Language Models. The opportunity involves fundamental research in continual learning, computer vision, multimodal foundation models, and adversarial learning. The work focuses on developing continual and robust vision‑language models, including pre‑training, post‑training, and multimodal understanding and reasoning.

Job Details

• Title: Postdoctoral Fellow (Level B) / Senior Research Fellow (Level C)
• Type: Full Time
• Contract: Fixed‑term, start ASAP until March 2029
• Location: Kensington, Sydney, Australia
• Citizenship: Australian citizenship required for project eligibility
• Salary: AUD 133,065 – 156,864 (Level B) or AUD 161,619 (Level C) per annum + 17 % superannuation

Qualifications

Level B

• A PhD in Computer Science or a related discipline, and/or relevant work experience.
• Proven commitment to 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 (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, TPAMI, TNNLS) with high impact.
• Strong experience in deep learning and/or computer vision, continual learning, and vision‑language models.
• Experience in developing comprehensive benchmarks.
• Robust coding and software engineering skills.
• Experience in handling multimodal data, especially videos, is required.
• Experience with post‑tuning and/or model editing of multimodal LLMs is preferred.
• Track record of significant involvement with the profession and/or industry.
• High‑level communication skills and ability to network effectively with a diverse range of students and staff.
• Demonstrated ability to work in a team, collaborate across disciplines, and build effective relationships.
• Evidence of highly developed interpersonal and organisational skills.
• Understanding of and commitment to UNSW’s aims, objectives and values, and relevant policies and guidelines.
• Knowledge of health and safety responsibilities and commitment to relevant training.

Level C

• A PhD in Computer Science or a related discipline, and/or relevant work experience.
• Proven commitment to 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 (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, TPAMI, TNNLS) with high impact.
• Strong experience in deep learning and/or computer vision, continual learning, and vision‑language models.
• Experience in developing or leading the development of comprehensive benchmarks.
• Robust coding and software engineering skills.
• Experience in handling multimodal data, especially videos, is required.
• Experience with post‑tuning and/or model editing of multimodal LLMs is required.
• Experience in translating AI models developed in research into deployment is preferred.
• Demonstrated ability to work in a team, collaborate across disciplines, and build effective relationships.
• Evidence of highly developed interpersonal and organisational skills.
• Understanding of and commitment to UNSW’s aims, objectives and values, and relevant policies and guidelines.
• Knowledge of health and safety responsibilities and commitment to relevant training.

Benefits & Additional Details

Lead high‑impact research, publish in international journals, present at conferences, supervise HDR students, and collaborate with industry partners. No direct reports. The role reports to Professor Flora Salim.

Equal Opportunity Statement

UNSW is committed to fostering a diverse and inclusive community. We welcome applications from people of all backgrounds, including those with disabilities and caring responsibilities.