Centurion University of Technology and Management

Continuing - Full-time position Salary teacher level T3.1 to T5 + 17% Superannuation and Flexible Working Arrangements Based on the Melbourne CBD campus, however, you will be required to work and/or be based at other campuses of the University and apprentice or trainee locations Great benefits such as 17% Super, generous annual, personal and parental leave, Employee Assistance Program, Medical Hub on Campus, Novated Car Leasing, 25% discount on some short courses, personal software discounts, among others About You You are an experienced and industry-connected professional with strong skills and knowledge in the discipline areas of Cyber Security and/or Cloud Computing. You bring current industry expertise, such as network security frameworks (e.g., CCNA Network Security) or cloud platforms (e.g., AWS), and are passionate about sharing your knowledge to support the development of job-ready graduates. You demonstrate the ability to deliver engaging and practical learning experiences that connect theory with real-world industry practices. With a commitment to high-quality vocational education, you are able to translate complex technical concepts into accessible learning for diverse student cohorts. You are collaborative and adaptable, working effectively with colleagues and industry stakeholders to ensure learning programs remain relevant, innovative, and aligned with emerging technologies and workforce needs. Your strong communication skills, enthusiasm for teaching, and dedication to student success enable you to contribute positively to the learning environment and support the delivery of high-quality training within the vocational education sector. To be successful in this position, you will have as a minimum: Skills and knowledge across key Information Technology discipline areas, including (but not limited to) Cyber Security (e.g., Splunk), Cloud Computing (e.g., AWS), Networking (e.g., Cisco CCNA), Database Management (e.g., MySQL, Oracle), and Programming (e.g., Java, Python, cloud based development). Effective interpersonal skills relevant to teaching and consultancy environments. This includes effective presentation and facilitation skills, and in the use of flexible teaching methods. Skills and experience in competency-based assessment. Ability in ensuring current and contemporary vocational competence which meets and/or exceeds the education level being delivered and assessed. Experience in relevant industry, and substantial discipline knowledge Capacity to diagnose learning problems in students, propose and implement effective solutions. Ability to contribute effectively as a constructive and proactive member of a team. Qualifications Certificate IV TAE (must) Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About The College of Vocational Education. The purpose of RMIT's College of Vocational Education is to empower learners and our industry, community and government partners to succeed in the new world of work. Our five-year strategic roadmap, ALIVE, purposefully guides everything we do in vocational education to deliver our vision: to position RMIT as a leading multi-sector provider with global impact and influence. Led by our Deputy Vice Chancellor, the College of VE is reimagining how we deliver vocational education to create unique experiences for our students and partners, so we can: lead in practice-based learning empower learners for the future of work engage industry and community at scale grow for impact and influence The College of VE is delivering impact through transformation that creates long-term change. To Apply Please submit your CV and covering letter addressing your interest and suitability 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 Diana (Talent Acquisition) via email diana.ruiz@rmit.edu.au. Position Description - VE Teacher, Cyber security and Cloud Previous candidates are not required to submit a new application. Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements. Why work at RMIT University Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice. We want to attract those who will make a difference. View RMIT's impressive standings in university rankings. 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. https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings #LI-Hybrid

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently

Full time, 3-year fixed term opportunity. Located on Camperdown Campus Opportunity to lead complex, high value government funding activity and directly influence the University's research revenue and strategic growth Offering a competitive remuneration package including 17% superannuation About the opportunity The University of Sydney is seeking an Associate Director, Research Tenders and Government Grants to lead the University's government tenders and government grants function, supporting the uplift and diversification of research revenue across Commonwealth and State funding sources. Reporting to the Director, Research Pipeline and Pre Award, this role is accountable for delivering strategy, oversight and expert advice across complex, high value government research tenders and panel memberships. The Associate Director plays a critical enterprise wide role, working closely with senior academics, professional leaders and government stakeholders to ensure submissions are strategically positioned, compliant and compelling, contributing directly to the University's research strategy and Collective Excellence initiatives. Your key responsibilities will be to: provide strategic leadership for government research tenders and specialised government grants aligned to University strategy lead the end to end development of major and complex government tenders and grant submissions provide authoritative advice on pricing, procurement rules, probity, compliance and risk mitigation lead the development and positioning of government research panel membership applications build and sustain senior level relationships with government agencies and external partners establish governance, quality assurance and continuous improvement frameworks for research tender activity. Occasional travel will be required to support stakeholder engagement About you extensive experience delivering complex government tenders and grant submissions strong understanding of Commonwealth and State government procurement and funding environments demonstrated expertise in pricing, compliance, risk and contractual considerations proven ability to influence senior stakeholders across large, complex organisations experience leading or uplifting specialist capability within a research or government context. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Nicole Turle Recruitment Operations by email to nicole.turle@sydney.edu.au Click to view the Position Description for this role. Applications Close Sunday 24 May 2026 11:59 PM