September 24, 2024

Postdoctoral Research Fellow in Generative AI

  • Generative Artificial Intelligence (AI)
  • Full time, fixed term (3-years) position at our Hawthorn campus
  • Academic Level B salary and benefitswith flexible working options

About the Role

A Postdoctoral Research Fellow is being sought to join a project funded by the Australian Research Council. Working alongside Professor Anthony McCosker at the Centre of Excellence for Automated Decision Making and Society (ADM+S) you will be contributing primarily to 2 projects:

This position will be looking at Generative artificial intelligence which is a rapidly evolving field that focuses on developing techniques and models capable of generating new data, images, text, or other forms of content and enabling human-like machine interactions. As the demand for AI-driven solutions continues to grow, understanding and advancing the ethical and inclusive use of generative AI technologies and related technologies has become increasingly important.

Contributing directly to the development of an AI Capabilities Lab, you will take a lead on research activities and contribute to the development and implementation of projects aimed at harnessing the power of generative AI and ensuring its ethical and inclusive deployment. This includes investigating novel algorithms and techniques, designing experiments, and evaluating the use of AI in domain contexts and the performance of generative models. Also relevant to the role is an interest in the impact of generative AI on authenticity in relation to trustworthy online information and cybersecurity.

If you are passionate about advancing generative AI, driving innovation, and promoting inclusive AI practices, we invite you to apply for this exciting opportunity to contribute to cutting-edge research projects at ADM+S.

To learn more about the ADM+S Centre and to hear directly from the passionate people involved, please click here.

 

About You 

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

  • Demonstrated expertise in generative AI, including experience in developing and evaluating NLP, ML, AI algorithms and models.
  • A record of high-quality research publications in peer-reviewed journals and conference proceedings in AI, NLP, and ML commensurate with opportunity.
  • Excellent knowledge and skills in system design methods and techniques as well as the ability to develop complete software solutions.
  • Ability to work autonomously and in a team-environment, and to follow through on tasks to completion and on time with minimal supervision.
  • Excellent interpersonal skills and the ability to collaborate effectively with interdisciplinary teams and external stakeholders.
  • Strong written and verbal communication skills, with the ability to convey complex ideas clearly and concisely.

To be eligible to apply for this role, you must be an Australian Citizen, Permanent Resident or hold a valid work permit or visa.

 

Qualifications

A PhD in computer science, artificial intelligence (AI), machine learning (ML), natural language processing (NLP, or a related field), with a track record of research achievements.

 

Applications Close: Wednesday 23 October 2024, at 11.00pm

 

How 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: 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: Wednesday 23 October 2024, at 11.00pm

 

Swinburne offers flexible working options contained in our leave and parenting/carer policies to support work-life balance.

 

Diversity, Equity and Inclusion

Swinburne University of Technology is dedicated to creating a varied, welcoming, and open learning and work environment that embraces diversity, promotes inclusion, ensures fair access to opportunities, and actively opposes bullying, discrimination, sexual harm, victimisation, and vilification. We appreciate every individual in our community, regardless of ability/disability, age, cultural and ethnic background, sex, sexual orientation, gender identity and expression, and family and relationship status. For further details on our efforts, please explore our Equity & Diversity website.

 

Disability and Reasonable Adjustments

Swinburne University of Technology actively supports and encourages individuals with disability to apply. We provide reasonable adjustments throughout the recruitment and selection process by ensuring that we cater to the access and participation needs of all candidates.

For a confidential discussion regarding accessibility requirements, or to provide feedback on how we can continue to improve our recruitment processes to better accommodate adjustments you require, please reach out to talentacquisition@swin.edu.au or call at +61 3 9214 5802.

 

Science in Australia Gender Equity (SAGE) at Swinburne

Swinburne is enhancing gender equity and diversity, with a focus on science, technology, engineering, maths and medicine (STEMM), by participating in the Science in Australia Gender Equity (SAGE) program.

Swinburne University is actively engaged in improving representation and participation of women in STEMM fields, aiming to address ongoing gender inequity. As an inaugural recipient of the Athena SWAN Institutional Bronze Award, we have implemented our original SAGE Action Plan (2019-2021) and continue our commitment through the current SAGE Action Plan (2022-2025), focusing on meaningful actions to foster long-lasting change and advance gender equity and diversity in STEMM.

 

Aboriginal and Torres Strait Islander Applicants

We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.

For any support please contact talentacquisition@swin.edu.au or for more information on our Indigenous strategies please follow the link to our RAP Reconciliation Action Plan

 

Victoria’s Commitment to Action: Improving international student employment outcomes
As a signatory to Victoria’s Commitment to Action, Swinburne seeks to remove barriers to international graduate employment. We welcome and encourage applications from international graduates.

 

We are a 2023 Circle Back Initiative Employer – we commit to respond to every applicant

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