Grant-Funded Researcher (B/C) Transformable & Generalisable Computer Vision and NLP Systems

(Level B/C) $100,933 to $119,391 or (Level C) $123,075 to $141,537 per annum, plus an employer contribution of 17% superannuation will apply.

2 year fixed-term contract available with the possibility of extension.

Flexible work arrangements can be negotiated with the right candidate.

Exciting opportunity for a Postdoctoral Researcher to be part of the Australian Institute for Machine Learning and contribute to world leading Augmented Reasoning research projects.

The advertised position is for an enthusiastic and highly motivated postdoctoral research scientist to work within the newly established Centre for Augmented Reasoning in the machine learning and augmented reasoning focused research group of Dr Lingqiao Liu, on the project Towards 'Small Data, Big Problem' Learning and Reasoning Paradigms in Theme 3: Knowledge, Representation and Generalisation.

The Centre for Augmented Reasoning (CAR) is a $20M investment by the Department of Education, Skills and Employment in people and research supporting Advanced Reasoning research through grants and PhD scholarships, facilitating innovation and rapid commercialisation, and increasing AI literacy and engagement in Australia.

CAR is headquartered in AIML, at the University of Adelaide, and is supported by all the university infrastructure. AIML is Australia's leading research institute in machine learning, artificial intelligence and computer vision with over 140 members including academics, research staff, and students.

The successful candidate will be responsible for driving their own research as well as contributing to team members' projects. The postdoctoral researcher may contribute to the supervision of honours and/or postgraduate research projects within the field of the staff member's area of research. Additionally, they will contribute to the preparation or, where appropriate, individual preparation of research proposal submissions to external funding bodies.

To be successful you will need:

1. A PhD in computer vision, machine learning, or natural language processing.
2. Experience and demonstrable expert knowledge in one or more of the following areas: computer vision, natural language processing, deep learning, few-shot learning, incremental learning/life-long learning, domain generalisation, semi-supervised learning, or unsupervised learning.
3. Clear record of driving to success your own research demonstrated by an excellent publication record.
4. Programming experience and expertise in Python/Numpy, or C/C++ or other relevant language, with experience in working with deep learning tools such as Pytorch or Tensorflow.
5. A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners.

In addition to the above, to be successful at Level C you will need:

1. A PhD qualification in computer science with at least 4 years of postdoctoral or equivalent industrial experience in computer vision, machine learning, artificial intelligence or other closely related area.
2. A demonstrated strong record of publications in top-tier Machine Learning, Computer Vision Conferences and/or journals, commensurate with experience and opportunity.
3. Significant experience and demonstrable expert knowledge in one or more or the following areas: computer vision, natural language processing, deep learning, few-shot learning, incremental learning/life-long learning, domain generalisation, semi-supervised learning, or unsupervised learning.

Enjoy an outstanding career environment

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.

We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life. Flexible working arrangements are on offer for all roles at the University.

In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Your faculty's broader role

The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching and research. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers. The Faculty actively partners with innovative industries to solve problems of global significance.

If you have the talent, we'll give you the opportunity. Together, let's make history.

Click on the 'Apply Now' button to be taken through to the online application form. Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.

Applications close 11:55pm, 17th July 2022.

The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.

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