Software Engineer (Associate Research Fellow/Research Fellow), Securing Ant at University of Wollongong

Gwynneville, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

141446.0

Posted On

16 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Embedded AI, Swarming Drones, AIoT, Autonomous Systems, Edge AI, Remote Environmental Monitoring, Smart Sensing Platforms, Robotics, Computer Science, Electrical Engineering, Internet of Things, Embedded Computing, Decision Science, Data Analysis, Project Management

Industry

Writing and Editing

Description

Fixed Term, full-time appointment (2 years) Level A: $97,061 - $113,715 + 17% Superannuation Level B: $122,478 - $141,446 + 17% Superannuation Position will be offered at level commensurate with experience and qualifications About the Role The Australian Research Council’s Special Research Initiative, Securing Antarctica’s Environmental Future (SAEF) is a leading international research program delivering interdisciplinary research to forecast environmental change across the Antarctic region, develop effective environmental stewardship strategies, and secure Antarctica as a natural reserve devoted to peace and science. With more than $46M in investment from the ARC and contributing organisations, SAEF brings together experts in informatics, robotics, environmental technologies, decision science and Antarctic ecology. Strong partnerships with key Antarctic stakeholders ensure our research directly informs policy and operational decision-making and supports the next generation of environmental leaders. We are seeking a Software Engineer at Level A or B to deliver high quality research, developing methods, models and software solutions for embedded AI, swarming drones, AIoT and other autonomous systems used to monitor vegetation responses to environmental change in Antarctica. In this role, you will design and implement innovative software, methods and systems that enable AI at the edge for remote environmental monitoring. Working within SAEF’s multidisciplinary research program, you will help advance smart sensing platforms, autonomous drones and other field deployable technologies that support SAEF and Robinson Laureate research goals. You will contribute to independent and collaborative research leading to high quality publications and presentations, while building strong relationships with colleagues, scientific partners and industry collaborators. The role also offers opportunities to support student supervision and participate in project and departmental activities that foster a collaborative research environment. About You You will bring a strong foundation in computer science, robotics, electrical engineering or a related discipline, supported by a completed PhD and a demonstrated track record of research excellence. Your expertise spans AI, robotics and the Internet of Things, with hands on experience in embedded computing and environmental or monitoring systems. You communicate clearly and effectively, manage projects with confidence, and work collaboratively within diverse, multidisciplinary teams. You are committed to safe, inclusive and equitable work practices, and you demonstrate cultural respect and awareness in all professional interactions. Your approach to research is proactive, organised and collegial, and you value the opportunity to contribute to a positive and supportive research culture. In addition, candidates applying at Level B will demonstrate: Post doctoral experience in computer science, robotics, electrical engineering or a related field Successful supervision of Honours or HDR students, or experience leading a research team Experience contributing to competitive grant applications How to Apply Click on the ‘Apply Now’ button at the bottom of the advertisement. You’ll be prompted to respond to a selection criteria questionnaire as part of the application process. Please also attach your CV to your application. For further information about this position, Doctor Melinda Waterman, Lecturer in Environmental Sciences on melindaw@uow.edu.au. Position Description Closing Date: Monday 16 March 2026, 11:55 PM Note: Visa sponsorship is not available for this position. Only candidates with valid work rights in Australia are eligible to apply. As required by federal legislation, prospective employees are required to declare whether they have been investigated for an allegation of Gender based Violence or determined to have engaged in conduct that constitutes Gender based Violence, during their previous employment, or otherwise in a legal process. Any such declaration will be included in the University’s employment screening processes and will be treated with the strictest confidence and in compliance with all privacy legislation. The University of Wollongong is committed to equality, diversity and inclusion. As an equal opportunity employer, and a recognised leader in gender equality, we encourage and welcome applications from a diverse range of backgrounds and people including: culturally and linguistically diverse, women, disability, LGBTIQ+, and Aboriginal and/or Torres Strait Islander Australians. The University of Wollongong was born with a mission to transform our region: to educate and empower the people of the Illawarra. Our commitment to a better future has shaped our direction and impact since our inception. Over the years, we have grown to be a global diverse and inclusive civic university, working to solve global challenges and promoting harmony and social cohesion. We are proud to be a globally recognised and respected university, opening doors for our students, staff and partners.

Responsibilities

The role involves delivering high-quality research by developing methods, models, and software solutions for embedded AI, swarming drones, AIoT, and other autonomous systems used for monitoring vegetation responses to environmental change in Antarctica. The engineer will design and implement innovative software and systems enabling AI at the edge for remote environmental monitoring within a multidisciplinary research program.