Postdoctoral Fellow​/Senior Research Fellow in Vision Language Models

Position Overview

Postdoctoral Fellow / Senior Research Fellow in Vision Language Models, based in Sydney, NSW, Australia. Full‑time, fixed‑term contract (ASAP start until March 2029). Reports to Professor Flora Salim and has no direct reports.

• Investigate novel approaches to continual learning, model pre‑training and post‑training, with applications in multimodal understanding and reasoning.
• Conduct high‑impact research, write scientific papers and reports for international journals, and participate in conferences and workshops.
• Supervise HDR students and actively collaborate with industry partners.
• Maintain high‑quality research standards and contribute to advancing the next generation of AI technologies.

• Salary, full time:
  • 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.
• Fixed‑term contract – ASAP start until March 2029.
• Location:
  
  Kensington – Sydney, Australia.
• Australian citizenship required for project eligibility.

• Level B
  • 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 such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, TPAMI, TNNLS, with outcomes of high quality and high impact and clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
  • Strong experience in deep learning and/or computer vision, continual learning, vision language models.
  • Experience in developing comprehensive benchmarks.
  • Robust coding and software engineering skills.
  • Experience 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 and interact 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 and commitment to UNSW’s aims, objectives and values.
  • Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.
• Level C
  • 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 such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, TPAMI, TNNLS, with outcomes of high quality and high impact and clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
  • Strong experience in all of: deep learning and/or computer vision, continual learning, vision language models.
  • Experience in developing or leading the development of comprehensive benchmarks.
  • Robust coding and software engineering skills.
  • Experience 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.
  • Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities.

UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.