澳大利亚斯威本科技大学博士后—包容性人工智能

澳大利亚斯威本科技大学博士后—包容性人工智能

斯威本科技大学（Swinburne University of Technology），简称“SUT”，1908年建立于澳大利亚的文化中心、全球四大宜居城市之一的墨尔本市，是澳大利亚著名的公立综合性大学，大学开设众多专业，包括工程学、航空学、商学、设计、IT、物理、传媒等。学校亦以创新而闻名，是澳大利亚唯一一所应邀成为欧洲创新大学联合会（ECIU）成员的大学，大学拥有5个校区，三万多名学生，颁发两百多个学士、硕士和博士学位。留学生来自世界70多个国家，包括3000名来自中国的留学生。

Postdoctoral Research Fellow in Inclusive AI

Swinburne University of Technology

About the Role We are looking for a Postdoctoral Research Fellow to join a project funded by the Australian Research Council at the Centre of Excellence for Automated Decision Making and Society (ADM+S).

In this role, you will work with Professor Anthony McCosker on the Critical Capabilities for Inclusive AI project which aims to develop and test approaches to ensure inclusive AI within the rapidly evolving AI ecosystem.

You will collaborate with ADM+S Centre members, research partners, consumers, and communities to understand essential skills and resources for using AI tools, including Generative AI. Through research and educational materials, the project will enhance AI capabilities and promote responsible AI governance with a focus on domains such as news and media, healthcare, social services, and humanitarian work.

Your responsibilities will include leading research activities, collaborating to develop projects for generative AI deployment, and engaging with industry and members of the public. Qualitative research experience and an interest in technology and society, digital literacy, AI skills, and inclusive AI practices are essential.

If you are passionate about advancing generative AI and promoting inclusive AI practices, we encourage you to apply for this opportunity to contribute to cutting-edge research at ADM+S. To hear more about the ADM+S Centre and the project, please click here for a video message from its passionate consortium.

About You To be suitable for this role you will need to have experience in the below key accountabilities:

Demonstrated ability to use qualitative social science methods and analysis techniques, including participatory or co-design methods.

A record of high-quality research publications in peer-reviewed journals or book collections in digital media, data studies and technology and society related subjects, commensurate with opportunity.

Excellent oral and written communication skills with the ability to relate well to a variety of people from data science, humanities and social science backgrounds, and understand their data needs.

Demonstrated ability to write both academic and non-academic documents in a clear, structured manner.

Demonstrated ability to lead research projects, manage resources effectively, and deliver outcomes within deadlines.

Qualifications A PhD in a social science field such as digital media studies, media and communications, linguistics, sociology or related fields.

To Apply Please submit your CV and cover letter addressing your suitability for this position.

To review the Position Description and to apply, please scroll down to the bottom of the page.

If you are viewing this advert from an external site, please click ‘apply' and you will be redirected to Swinburne's Jobs website to access the Position Description at the bottom of the page.

Please Note: To be eligible to apply for this role, you must be an Australian Citizen, Permanent Resident or hold a valid work permit or visa. Appointment to this position is subject to passing a Working with Children Check.

If you are experiencing technical difficulties with your application, please contact the Swinburne Talent Acquisition Team on staffrecruitment@swin.edu.au.

Applications Close: Sunday 4 August 2024, at 11.00pm

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