Senior Laboratory Technician – Computing & AI Systems Specialist Full-time

Senior Laboratory Technician

As a Senior Laboratory Technician, you will be at the forefront of supporting research and teaching activities across a wide array of laboratories. Your expertise in mechatronics, electronics, and digital systems will be invaluable as you instruct and advise on specialist equipment, manage laboratory resources, and contribute to groundbreaking experiments. This role offers you the chance to collaborate with a multidisciplinary team and engage with innovative research that spans human computing interaction to autonomous systems.

Your responsibilities will include:

• Deliver Expert Technical Services: Provide technical support and guidance to staff and students, ensuring effective use of laboratory equipment and systems.
• Manage Laboratory Operations: Oversee inventory, procurement, and maintenance of equipment and consumables, ensuring compliance with safety standards.
• Conduct Research and Teaching Support: Design experiments, prototype equipment, and prepare for practical classes to enhance teaching and research outcomes.
• Ensure Safety and Compliance: Complete Quality and OHS requirements, including inspections, audits, and risk assessments, fostering a safe laboratory environment.

You may be a great fit if:

• You hold a relevant degree or trade qualification in Computer Engineering, Software Engineering, Computer Science, or Information Technology, specialising in AI, Cybersecurity, Cloud Systems, or Digital Infrastructure.
• Your expertise in maintaining research computing environments across Windows, macOS, and Linux, coupled with experience deploying virtual servers using Docker and Heroku, makes you an ideal candidate.
• You excel in managing AI and machine learning infrastructure and cybersecurity research environments, and your strong communication skills and customer-focused approach ensure high-quality support to academic, research, and student users.

You may also:

• Have a relevant degree or trade qualification with experience in higher education or industry R&D.
• Demonstrate proficiency in maintaining research computing environments across various operating systems.
• Possess experience in AI and machine learning infrastructure management, including HPC systems.
• Be skilled in managing mobile devices and embedded systems for IoT and cloud computing research.
• Exhibit expertise in cybersecurity environments and secure research practices.

For further information please refer to the attached PD.

What we offer you!

• Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being
• Progressive, considerate leave provisions to empower your work-life balance
• Salary packaging and access to a range of discounted services including Bupa health insurance
• Health and well-being services including a leading Employee Assistance Program

For more information check out our benefits page!

The Faculty of Engineering and Information Technology (FEIT) has been the leading Australian provider of engineering and IT education and research for over 150 years. We are a multidisciplinary Faculty organised into three key areas; Computing and Information Systems (CIS), Chemical and Biomedical Engineering (CBE) and Electrical, Mechanical and Infrastructure Engineering (EMI). FEIT continues to attract top staff and students with a global reputation and has a commitment to knowledge for the betterment of society. FEIT has never been better positioned as a global leader, anchored in the dynamic Asia Pacific region, creating and curating knowledge to address some of the world's biggest challenges. Through our students and our relationships with communities, we can not only respond to society's needs but anticipate and create engineering and IT solutions for the future.

The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We are committed to creating an inclusive and equitable workplace where all individuals feel valued, respected, and have the opportunity to thrive regardless of gender identity, ethnicity, sexual orientation, disability, age, being a parent or having caring responsibilities.

The University of Melbourne is committed to fostering a barrier-free and inclusive recruitment process. We are dedicated to providing reasonable adjustments for candidates throughout the application and interview stages, including accessible document formats and alternative application methods. To discuss your specific requirements, please feel free to contact Bec Tucker – 0416 888 299 or send an email titled 'Reasonable Adjustments' to hr-careers@unimelb.edu.au. You can find more information for applicants requiring reasonable adjustments on our Careers website.

Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.

If you are a member of an Aboriginal and/or Torres Strait Islander community and would like any support, please feel free to contact our Indigenous Employment & Development team via email at oied-hr@unimelb.edu.au.

This role requires the successful candidate to maintain a Working with Children Check. The successful candidate can apply for the WWCC as part of the onboarding process. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures.

Please note: Visa sponsorship is not available for this position. This role requires current valid work rights for Australia.

Join us and unlock your career potential! Apply today! Including the following documents:

• Resume
• Cover Letter outlining your interest and experience
• The responses against the Selection Criteria^ (found in the Position Description)

^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria

If you have any questions regarding the recruitment process, please feel free to contact Brett Verity via email at hr-careers@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.

If you have any particular questions regarding the job please follow the details listed on the Position Description.

We encourage candidates to apply as soon as able, as this position may close before the advertised deadline.

Accessible Position Description: Accessible PD -JR-008065 Senior Laboratory Technician – Computing & AI Systems Specialist.docx