At a Glance
- Tasks: Conduct independent and collaborative research in deep learning and multimodal queries.
- Company: UNSW is a prestigious university known for its diverse and talented community.
- Benefits: Enjoy a competitive salary, 17% superannuation, and opportunities for international collaboration.
- Other info: Position based in Kensington, Sydney; applicants must have work rights in Australia.
- Why this job: Join a vibrant research environment and contribute to impactful scientific advancements.
- Qualifications: PhD or relevant experience in AI, deep learning, and strong coding skills required.
The predicted salary is between 80000 - 120000 £ per year.
Postdoctoral Research Associate / Senior Research Associate in Multimodal Learning
Join to apply for the Postdoctoral Research Associate / Senior Research Associate in Multimodal Learning role at UNSW
Postdoctoral Research Associate / Senior Research Associate in Multimodal Learning
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Join to apply for the Postdoctoral Research Associate / Senior Research Associate in Multimodal Learning role at UNSW
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The Opportunity
The School of Computer Science and Engineering is offering an opportunity for a
This Job is based in Australia
The Opportunity
The School of Computer Science and Engineering is offering an opportunity for a Postdoctoral Research Associate / Senior Research Associate . In this role, you will conduct both independent and collaborative research activities to advance your expertise in the field of deep learning. The focus will be on developing novel continual learning methods for multimodal queries and tasks, including video understanding. Your work will also involve implementing and evaluating state-of-the-art continual deep learning frameworks and delivering a comprehensive benchmark for these tasks.
This position offers an opportunity to advance your scholarly research and professional activities both nationally and internationally. You will contribute to the writing of scientific papers and reports for international journals, participate in conferences and workshops, and actively engage with industry partners.
This role reports to Professor Flora Salim and has no direct reports.
- Salary
- Level A, Research Associate - AUD$113,911 to $121,838 per annum + 17% superannuation
- Level B, Senior Research Associate – AUD$127,947 per annum + 17% superannuation
- Full time
- Fixed-term contract – 1 to 1.5 years with ASAP start
- Location: Kensington – Sydney, Australia
- To be considered for this role, candidates must have work rights for Australia
UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place.
The School of Computer Science and Engineering is one of the largest and most prestigious schools of computing in Australia. It offers undergraduate programmes in Software Engineering, Computer Engineering, Computer Science, and Bioinformatics, as well as a number of combined degrees with other disciplines. Our research and teaching staff are world leading and world building as they advance knowledge and learning. For more information on our school go to the following link - And Experience
Level A - Research Associate
- A PhD (or soon to be awarded) in a related discipline, and/or relevant work experience.
- Demonstrated track record in research, evidenced by publications in top-tier AI and ML conferences, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
- Strong experience in some of the following areas:
- deep learning and/or computer vision
- continual learning
- LLMs and/or VLMs
- Mixture of Experts
- Experience in developing comprehensive benchmarks
- Robust coding and software engineering skills
- A strong practice of maintaining open-source code repository.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Evidence of highly developed interpersonal 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.
- A PhD in a related discipline, and/or relevant work experience.
- Demonstrated track record in research, evidenced by publications in top-tier AI and ML conferences, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
- Strong experience in some of the following areas:
- deep learning and/or computer vision
- continual learning
- LLMs and/or VLMs
- Mixture of Experts
- Experience in developing comprehensive benchmarks
- Robust coding and software engineering skills
- Experience in handling multimodal data, especially videos, is required
- Proven commitment to proactively keeping up to date with discipline knowledge and developments.
- A track record of significant involvement with the profession and/or industry.
- A strong practice of maintaining open-source code repository.
- 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 skills.
- Ability to build effective networks with colleagues
- Ability to generate alternative funding and/or industry projects through effective liaison with external local and international researchers, industry and government
- 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
To Apply
Please click the apply now button and submit your CV, Cover Letter and Responses to the Skills and Experience. You should systematically address the Skills and Experience listed within the position description in your application.
Applicants must have working rights in Australia and be able to be on site in Kensington. Visa sponsorship is not available for this appointment.
Please note applications will not be accepted if sent to the contact listed below.
Contact :
Eugene Aves – Talent Acquisition Consultant
E:
Applications close: 11:55 pm (Sydney time) on Tuesday 12th August 2025
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.
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#J-18808-LjbffrPostdoctoral Research Associate / Senior Research Associate in Multimodal Learning in London employer: UNSW
UNSW is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration in the field of computer science and engineering. Located in Kensington, Sydney, employees benefit from access to world-class research facilities, opportunities for professional development, and a commitment to equity and diversity, making it an ideal environment for those seeking meaningful and impactful careers in academia.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Associate / Senior Research Associate in Multimodal Learning in London
✨Tip Number 1
Network with professionals in the field of deep learning and multimodal learning. Attend relevant conferences or workshops where you can meet researchers and industry experts, as this can lead to valuable connections and potential collaborations.
✨Tip Number 2
Engage actively on platforms like GitHub to showcase your coding skills and contributions to open-source projects. This not only demonstrates your technical abilities but also your commitment to the research community.
✨Tip Number 3
Stay updated with the latest advancements in deep learning and multimodal data handling. Follow key researchers and institutions on social media and subscribe to relevant journals to keep your knowledge current and relevant.
✨Tip Number 4
Prepare to discuss your previous research experiences and how they relate to the role. Be ready to articulate your understanding of continual learning methods and their applications in multimodal tasks during interviews.
We think you need these skills to ace Postdoctoral Research Associate / Senior Research Associate in Multimodal Learning in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in deep learning, computer vision, and multimodal data handling. Include specific projects or publications that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the role and the opportunity to work at UNSW. Discuss how your research aligns with their focus on continual learning methods and your commitment to advancing knowledge in the field.
Address Skills and Experience:Systematically respond to the Skills and Experience section outlined in the job description. Use specific examples from your past work to illustrate how you meet each requirement, particularly in research leadership and collaboration.
Proofread and Edit:Before submitting your application, thoroughly proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at UNSW
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to deep learning and multimodal data. Highlight any publications you've contributed to, particularly in top-tier AI and ML conferences, as this will demonstrate your expertise and commitment to research excellence.
✨Demonstrate Technical Skills
Make sure to highlight your coding and software engineering skills during the interview. Be ready to discuss specific frameworks or tools you have used in your work, especially those related to continual learning and video understanding, as these are key areas for the role.
✨Prepare for Collaborative Questions
Since the role involves both independent and collaborative research, be ready to share examples of how you've successfully worked in teams. Discuss your ability to build effective relationships across disciplines and how you’ve engaged with industry partners in the past.
✨Align with UNSW's Values
Familiarise yourself with UNSW’s aims, objectives, and values. During the interview, express your understanding of these principles and how your personal values align with them. This shows that you are not only a good fit for the role but also for the university's culture.
