Lecturer in Machine Learning and Computer Vision at University of Queensland

, , Australia -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 25

Salary

136048.0

Posted On

19 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Computer Vision, Teaching, Research, Curriculum Design, Grant Applications, Interpersonal Skills, AI Technologies, Industry Trends, Digital Agriculture, Digital Manufacturing, Research Collaboration, Team Leadership, Student Supervision, Performance Feedback, Mentoring

Industry

Higher Education

Description

School of Electrical Engineering and Computer Science (EECS) – Faculty of Engineering Full-time (100%), Permanent Position Base salary will be in the range $114,824.05 - $136,048.72 + 17% Superannuation (Academic Level B) Visa sponsorship is not available for this position Based at our St Lucia Campus - Brisbane About This Opportunity The School of Electrical Engineering & Computer Science (EECS) is seeking a talented academic to join as a Lecturer in Machine learning and Computer Vision. We are looking for a teaching and research academic with a strong expertise in applied AI and current industry trends. Join us and help shape the future of AI and multimedia in a dynamic, collaborative environment. Key responsibilities will include: Teaching: Coordinating and delivering undergraduate and postgraduate courses, including lectures, tutorials, assessment, and marking. It includes developing engaging and up-to-date course materials in consultation with program advisors and stakeholders. The position supports innovation in curriculum design, such as online learning and short-form credentials, while ensuring course quality aligns with industry and academic standards. Responsibilities also include research training and supervision of higher degree research students, providing academic support and counselling to students, and assisting colleagues as needed. Research: Leading and contributing to independent and collaborative research programs with the goal of achieving national and international recognition. It includes securing and managing competitive external research funding, publishing in high-quality academic and professional journals, and developing interdisciplinary research projects in alignment with the School’s strategic priorities. Supervision and Researcher Development: Supervise students, recruit and manage employees, provide performance feedback and training, manage staff across the employee lifecycle and resolve conflicts. Citizenship and Service: Develop partnerships, demonstrate leadership through mentoring, engage in internal service roles and committees, perform administrative functions, provide support to colleagues, and uphold university values. This is a teaching and research position. Further information can be found by viewing UQ’s Criteria for Academic Performance. About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world, and within an environment where interdisciplinary collaborations are encouraged. At the core of our teaching remains our students, and their experience with us sets a foundation for success far beyond graduation. UQ has made a commitment to making education opportunities available for all Queenslanders, regardless of personal, financial, or geographical barriers. As part of our commitment to excellence in research and professional practice in academic contexts, we are proud to provide our staff with access to world-class facilities and equipment, grant writing support, greater research funding opportunities, and other forms of staff support and development. The greater benefits of joining the UQ community are broad: from being part of a Group of Eight university, to recognition of prior service with other Australian universities, up to 26 weeks of paid parental leave, 17.5% annual leave loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, access to exclusive internal-only vacancies, and genuine career progression opportunities via the academic promotions process. About You Essential A PhD in Computer Science or a related field. Demonstrated record of research in multimedia computing and computer vision, with evidence of research standing at the early-career stage. A solid track record of publications in reputable refereed journals and conferences. Strong evidence of contribution to research, including successful grant applications. Demonstrated contribution to teaching at undergraduate, honours, and postgraduate levels. High level of effective communication and interpersonal skills. Desirable Knowledge of state-of-the-art technologies and industry trends in focus areas – digital agriculture and digital manufacturing. Demonstrated capacity to utilise cutting-edge AI/ML technologies to address national challenges through real-world applications, particularly in digital agriculture and digital manufacturing. Established industry liaisons and professional contacts. Demonstrated contribution to research collaborations with other disciplines and/or industry partners. Proven ability to successfully lead a research team. The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia, criminal check, education check, etc. You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment. Questions? For more information about this opportunity, please contact Professor Helen Huang via helen.huang@uq.edu.au. For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au, stating the job reference number (below) in the subject line. Want to Apply? We welcome applications from all individuals and are committed to an inclusive and accessible recruitment process. To be considered, please ensure you upload: Resume Cover letter Responses to the ‘About You’ section Our strength as an institution lies in our diverse colleagues. We are dedicated to equity, diversity, and inclusion, fostering an environment that mirrors our wider community. We are committed to attracting, retaining, and promoting diverse talent. If you require an alternative method to submit your application due to accessibility needs or personal circumstances, please contact talent@uq.edu.au. Other Information UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/or continue to impact their career trajectory. Candidates who do not meet all criteria are encouraged to apply and demonstrate their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role. Applications close on Friday 10 October at 11.00pm AEST (R-56167). The University of Queensland (UQ) acknowledges the Traditional Owners and their custodianship of the lands on which UQ is situated. We pay our respects to their Ancestors and their descendants, who continue cultural and spiritual connections to Country. At the University of Queensland, we are proud to be one of Australia’s leading research and teaching institutions, consistently ranking among the top 50 universities worldwide. As a member of the prestigious Group of Eight (Go8) universities, UQ is widely recognised for its intensive focus on research and teaching excellence – evidenced by our numerous accolades including more teaching awards than any other Australian University and reflected in UQ being the number one recipient of ARC Fellowships and Awards nationally across all scheme years (totalling 452 awards worth $339 million). Our state-of-the-art facilities, libraries, and cutting-edge research centres offer unparalleled opportunities for academic and professional growth. With five faculties, a number of globally recognised research institutes, and over 100 research centres, we attract an interdisciplinary community of more than 7000 staff, supporting more than 55,000 current students from over 137 countries. UQ is dedicated to supporting the career aspirations of our students and staff. Our comprehensive career services provide personalized guidance, skills development, and networking opportunities to help you achieve your professional goals. Whether you are a student seeking internships and job placements or a staff member looking for career advancement, UQ is here to support you every step of the way. UQ values equity, diversity and inclusion and seeks to reflect the broader community by attracting and retaining high-quality staff from a range of backgrounds. Our commitment to equity, diversity, and inclusion aims to ensure that everyone at UQ feels valued and empowered to achieve their full potential. We are particularly interested to hear from people who bring diversity to UQ – whether that be gender identity, LGBTQIA+, cultural and/or linguistic, Aboriginal and/or Torres Strait Islander peoples, or people with a disability. Whether you are a recent graduate, an Academic, or an experienced professional, UQ offers a wide range of opportunities to help you grow and succeed. Explore our current job openings, discover our programs, and become part of a community that is dedicated to creating lasting, meaningful impact for the communities in which we live and work. For more information about working at UQ and our employee benefits (such as generous leave provisions, 17% superannuation, flexible working arrangements, and health and wellness discounts) please visit Why Work at UQ.

Responsibilities

The role involves coordinating and delivering undergraduate and postgraduate courses in Machine Learning and Computer Vision, as well as leading independent and collaborative research programs. Responsibilities also include supervising higher degree research students and contributing to curriculum innovation.