Research Fellow in Computer Engineering RMIT University

Overview: Full-time, Fixed Term position for 2 years Academic Level A or B + 17% Superannuation Based at the Melbourne CBD campus, and hybrid ways of working About the role Are you passionate about the ethical treatment of animals and eager to make a real impact in the world of agriculture? Look no further. The RMIT Intelligent Automation group, in collaboration with Food Agility CRC and Harmony Agriculture & Food Co, is at the forefront of revolutionising the animal welfare regime in Australia. We are seeking a Research Assistant or Research Fellow to lead and conduct cutting-edge research and development in the field of animal health and welfare upkeep in Australia by building visual AI models for the continuous surveillance and monitoring of animals in feedlots. You will utilise analytical and statistical pattern recognition methodologies to generate evidence for practice modification recommendations, enhancing the overall quality of care for animal agriculture and contribute to advancing the science of understanding the causal effects of animal casting and sickness. To be successful in this position, you will have: A PhD in computer vision or related fields with a strong background in animal (or human) tracking and behaviour monitoring. Evidence of substantial research experience in computer vision and visual surveillance systems, with a strong emphasis on conducting advanced research in visual recognition, tracking, behaviour analysis, and data analytics. Emerging track record and recognition for quality research outputs which will contribute to existing Discipline and School research areas evidenced by publications, development of new research initiatives, competitive research funding, and industry links. Demonstrated ability to supervise higher degree by research candidates. Ability to build effective networks with colleagues and generate alternative funding projects through effective liaison with industry and government. Excellent interpersonal and communications skills appropriate for interacting with higher degree by research candidates, staff and industry, together with a strong commitment to teamwork and multidisciplinary collaboration. Proven expertise in analytical and statistical pattern recognition methodologies. Ability to work collaboratively in a dynamic research environment. Qualifications: A completed PhD in a relevant field is required for this role. If you are enrolled or studying towards a PhD, you will be considered for Research Assistant at Academic Level A. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About the College The STEM College holds a leading position and expertise in the science, technology, engineering, mathematics and health (STEM) fields. We are uniquely positioned to influence and partner with industry, as never before. STEM College is a community of exceptional STEM researchers, teachers, inventors, designers and game-changers, supported by talented professional staff. We offer higher education programs across all STEM disciplines at the Bachelor, Master and PhD levels, and ensure our students experience an education that is work-aligned and life-changing. The College is renowned for its exemplary research in many STEM areas including advanced manufacturing and design; computing technologies; health innovation and translational medicine; nano materials and devices; and sustainable systems. Our brilliant researchers attract funding from government and industry sources. We are here to positively impact the world and create the next generation of STEM leaders. www.rmit.edu.au/seh Please click the link below to learn more about RMIT’s commitment to improving female representation in STEMM – www.rmit.edu.au/womeninstemm To Apply Please submit your CV and covering letter addressing the Key Selection Criteria for this position by clicking on the ‘Apply’ link at the top of this page. For further information about this position, please see the Position Description hyperlinked below or contact Professor Alireza Bab-Hadiashar via email alireza.bab-hadiashar@rmit.edu.au. Position Descriptions: Research Assistant – Computer Vision Engineering Research Fellow – Computer Vision Engineering Applications Close: 22 Jan 2024 11.59 pm RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Kassie (Senior Talent Acquisition Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers . We are a Circle Back Initiative Employer – we commit to respond to every applicant. If you apply for this position please say you saw it on Computeroxy Apply

Overview:

Full-time, Fixed Term position for 2 years
Academic Level A or B + 17% Superannuation
Based at the Melbourne CBD campus, and hybrid ways of working

About the role

Are you passionate about the ethical treatment of animals and eager to make a real impact in the world of agriculture? Look no further. The RMIT Intelligent Automation group, in collaboration with Food Agility CRC and Harmony Agriculture & Food Co, is at the forefront of revolutionising the animal welfare regime in Australia.

We are seeking a Research Assistant or Research Fellow to lead and conduct cutting-edge research and development in the field of animal health and welfare upkeep in Australia by building visual AI models for the continuous surveillance and monitoring of animals in feedlots.

You will utilise analytical and statistical pattern recognition methodologies to generate evidence for practice modification recommendations, enhancing the overall quality of care for animal agriculture and contribute to advancing the science of understanding the causal effects of animal casting and sickness.

To be successful in this position, you will have:

A PhD in computer vision or related fields with a strong background in animal (or human) tracking and behaviour monitoring.
Evidence of substantial research experience in computer vision and visual surveillance systems, with a strong emphasis on conducting advanced research in visual recognition, tracking, behaviour analysis, and data analytics.
Emerging track record and recognition for quality research outputs which will contribute to existing Discipline and School research areas evidenced by publications, development of new research initiatives, competitive research funding, and industry links.
Demonstrated ability to supervise higher degree by research candidates.
Ability to build effective networks with colleagues and generate alternative funding projects through effective liaison with industry and government.
Excellent interpersonal and communications skills appropriate for interacting with higher degree by research candidates, staff and industry, together with a strong commitment to teamwork and multidisciplinary collaboration.
Proven expertise in analytical and statistical pattern recognition methodologies.
Ability to work collaboratively in a dynamic research environment.

Qualifications:

A completed PhD in a relevant field is required for this role. If you are enrolled or studying towards a PhD, you will be considered for Research Assistant at Academic Level A.

Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.

About the College

The STEM College holds a leading position and expertise in the science, technology, engineering, mathematics and health (STEM) fields. We are uniquely positioned to influence and partner with industry, as never before.

STEM College is a community of exceptional STEM researchers, teachers, inventors, designers and game-changers, supported by talented professional staff. We offer higher education programs across all STEM disciplines at the Bachelor, Master and PhD levels, and ensure our students experience an education that is work-aligned and life-changing.

The College is renowned for its exemplary research in many STEM areas including advanced manufacturing and design; computing technologies; health innovation and translational medicine; nano materials and devices; and sustainable systems. Our brilliant researchers attract funding from government and industry sources.

We are here to positively impact the world and create the next generation of STEM leaders.

www.rmit.edu.au/seh

Please click the link below to learn more about RMIT’s commitment to improving female representation in STEMM – www.rmit.edu.au/womeninstemm

To Apply

Please submit your CV and covering letter addressing the Key Selection Criteria for this position by clicking on the ‘Apply’ link at the top of this page.

For further information about this position, please see the Position Description hyperlinked below or contact Professor Alireza Bab-Hadiashar via email alireza.bab-hadiashar@rmit.edu.au.

Position Descriptions:

Research Assistant – Computer Vision Engineering

Research Fellow – Computer Vision Engineering

Applications Close:

22 Jan 2024 11.59 pm

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Kassie (Senior Talent Acquisition Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers .

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

If you apply for this position please say you saw it on Computeroxy

Apply