Grant-in-aid for sitcom work at the University of Adelaide (B), VideoQA

AI and ML Jobs

(Level B) $102,952 to $121,779 per year plus up to 17% employer contribution for retirement benefits.

One two-year fixed-term position with possible extension is available, depending on the end date of the project. Flexible working arrangements can be negotiated with suitable candidates.

Join the Australian Institute of Machine Learning, Australia’s largest computer vision and machine learning research group, and contribute to world-leading research projects at its Augmented Inference Center.

Postdoc Researcher “VideoQA at Sitcoms: Extending NMN Multihop Processing to Handle Common Sense Reasoning Using Common Sense Knowledge Bases” It will be directed by Dr. Ehsan Abbasnejad and will include researchers from Monash University. This role will contribute to the Center’s aim to build a world-class research capacity in Machine Learning (ML) while demonstrating the potential and impact of this knowledge on Australian industry.

Video Question Answering (VideoQA) is a fundamentally difficult problem involving a leap forward in the application of machine learning and AI. Situational comedies are usually set within a confined space, but when smart agents are given an episode, they wrestle with rich socio-cultural phenomena rooted in both language and visuals, such as sarcasm and body language.

This postdoc role explores how common sense and neurosymbolic approaches inspired by advances in natural language processing and computer vision can improve VideoQA. Specifically, the project team will build a video inference system based on Neural Module Networks (NMN) that provides explainable multi-hop inference capabilities. The project also designs “social robots” that can act intelligently in socially and culturally complex environments.

This work on sitcoms aims to enhance VideoQA by (i) handling complex questions that require multi-hop reasoning and (ii) handling the complexity of social and cultural contexts. increase. This will contribute to next-generation visual and verbal task algorithms by improving the inference process.

This exciting role will contribute to the Center for Augmented Reasoning’s objective of building a world-class research capacity in machine learning while demonstrating the potential and impact of this knowledge on Australian industry.

To be successful, you need:

  1. PhD in computer science or related field or equivalent industry experience
  2. Programming experience and expertise in Python and related deep learning libraries
  3. Experience and demonstrable expertise in one or more of the following areas: Natural Language Processing, Visual Language Processing, Visual Language Models, Deep Learning, Applied Robotic Vision
  4. Proven track record of publication in leading machine learning, computer vision, artificial intelligence and/or robotics conferences and/or journals commensurate with experience and opportunity
  5. written and oral fluency in English and the ability to communicate scientific ideas to a professional audience
  6. Strong work ethic and ability to work well both independently and as part of a wide range of teams, including industrial partners
  7. Commitment to the principles of equity, diversity and inclusion.

Desirable properties:

  1. Possess experience and/or abilities that contribute to advancing research capabilities to industry and the wider community.

Enjoy an excellent career environment

AIML is Australia’s leading research institute for machine learning and artificial intelligence. AIML’s computer vision research is world-class. With world-leading researchers, state-of-the-art facilities, and an innovative culture, we are committed to providing research that is highly valued by local and global communities. AIML, located in Rot4teen, Adelaide, is Australia’s largest computer vision and machine learning group, with more than 170 of his members, including academics, research staff and students. The lab works on a combination of basic and commercial-oriented research projects in computer vision and machine learning. For more information, please visit

The Center for Augmented Reasoning (CAR) is a $20 million investment by the (then) Department of Education, Skills and Employment to improve computer-human interaction and make all technology easier and safer to use. It is intended for personnel and research to make Managed under the AIML, the center supports advanced reasoning research through grants and PhD scholarships, fosters innovation and rapid commercialization, and promotes artificial intelligence (AI) literacy and engagement in Australia. is increasing.

The University of Adelaide is a unique and rewarding place to work. The size, breadth and quality of our education and research programs, including collaborations with important industries, governments and communities, offer vast reach and opportunities for long-term and fulfilling careers.

It also ensures that we are able to attract top talent in all aspects of our business and surround ourselves with many world-leading and talented colleagues. The cutting-edge nature of our work provides a constant source of inspiration, not only in your own realm, but virtually across the gamut of human endeavours.

Our culture is one that welcomes all and embraces diversity, consistent with our staff values ​​and behavioral framework, and our values ​​of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset and are committed to growing and diversifying the skills, knowledge and capabilities of all our staff.

We embrace flexibility as a key principle to help our employees manage the changing demands of their work, personal and home lives. Flexible working arrangements are offered for all university roles.

We also offer a number of attractive staff benefits. These include: salary package. flexible working arrangements; high-quality professional development programs and activities; Clinics, gyms and other fitness facilities on campus.

Learn more:

The wider role of your faculty

As a member of Australia’s G08, the University of Adelaide is recognized as one of the country’s most respected research-intensive universities, challenging and inspiring its graduates to make a real difference. The School of Science and Engineering (SET) has a strong reputation for teaching, research and quality graduates. Comprised of 8 schools, 21 centers and 5 research institutes, the SET Faculty is responsible for educating over 8,500 students across his three campuses of North Terrace, Waite and Roseworthy and has an annual budget of is his $300 million. The faculty contributes significantly to the university’s research reputation, with annual research income exceeding her $120 million. Many of our research areas have achieved a world-class research rating of 5 in the 2018 ERA Rankings. Faculty members are responsible for teaching and research across a wide range of disciplines, including engineering, computer and mathematical sciences, architecture, biology, physics, chemistry and earth sciences, agriculture, food and wine, animal and veterinary medicine. SET’s faculties are innovative and agile working environments that champion excellence, diversity and inclusiveness in leadership of teaching, research and global engagement.

For more information, visit

If you have the talent, we will give you a chance. Let’s make history together.

Click the link below to view the selection criteria and apply for the opportunity.

Be sure to submit a cover letter, resume, and upload a document containing the position description or answers to all selection criteria for the position contained in the selection criteria document.

Applications will close at 11:55pm South Australian time on Friday 28th April 2023.

For more information

For confidential discussions regarding this position, please contact:

Dr. Richard Harvey
Augmented Reasoning Center Program Manager

Below is the full selection criteria document. (If you don’t see the link, try viewing it on another device or another web browser)

The University reserves the right to close this ad before the deadline date if a suitable candidate is identified.

The University of Adelaide is an equal opportunity employer committed to providing a work environment that embraces and respects diversity and inclusion. Female applicants, persons with disabilities, and/or Aboriginal and Torres Strait Islander who meet the requirements for this position are strongly encouraged to apply. If you have support or access requirements, please let us know when you apply.


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