Base salary will be in the range $78,871.35 - $105,004.02 + 17% Superannuation (Academic Level A)
Responsibilities
Develop a research program focused on exploring the environmental, social, and economic impacts of electrochemical CO2 conversion on process operation, facility integration, and net-zero emissions pathways.
Produce quality research outputs by publishing or exhibiting in high-quality outlets, following discipline norms.
Participate in applications for competitive research funding to support projects and activities.
Collaborate with colleagues in developing joint research projects and funding applications.
Contribute to knowledge transfer and commercialization of UQ intellectual property through translation to research end users.
Contribute to the supervision of Honours and Higher Degree by Research students, ensuring personal effectiveness in supervision and researcher development.
Manage research support staff effectively throughout the employee lifecycle, in accordance with University policy and procedures.
Address conflicts and grievances promptly, following University policies and procedures.
Demonstrate citizenship behaviours aligned with UQ values, showing leadership through collaboration and active participation in key activities for the Centre of Excellence and School of Chemical Engineering.
Provide support to academic positions and unit operations during team members' absences and contribute to internal service roles, decision-making, and relevant committees.
Collaborate in external service activities and begin developing partnerships with industry, government, professional bodies, and the wider community.
Where undergraduate teaching is undertaken achieve teaching quality as indicated by approved surveys and outcomes for students and improve or innovate where appropriate in response to feedback.
Requirements
Completion or near completion of a PhD in the Chemical Engineering.
An emerging profile in research in Chemical Engineering.
Proven experience and expertise in CO2 capture, separation and/or electrochemical conversion.
A keen interest in advanced biomass-derived materials and the development of novel biomass pre-treatment and refining approaches, as applied to new materials employed in CO2 conversion.
Evidence of publications in reputed refereed journals and presenting at conferences.
Evidence of contributions towards successfully obtaining external research funding.
Some experience in meaningful internal service roles and contributions towards external activities.
A demonstrated willingness to learn new things and work across unfamiliar disciplinary boundaries.
Benefits
Access to world-class facilities and equipment.
Grant writing support and greater research funding opportunities.
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.
Genuine career progression opportunities via the academic promotions process.
Notes
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.
Work Rights: Visa sponsorship is not available for this appointment.
Swinburne University of TechnologyHawthorn campus, Swinburne University of Technology
Closing date:
27-Sep-2024
Expired
Dates
Opening Date: Not Available
Closing Date: 27-Sep-2024
Location
Hawthorn campus, Swinburne University of Technology
Salary
HEW Level 8 salary + 17% super and benefits
Responsibilities
Administration and maintenance of Swinburne’s Managed Operating Environments across endpoints and virtual environments.
Lead process improvements and provide high level of service to customers of Swinburne IT.
Liaise with senior staff and key stakeholders to ensure effective resolution of service issues.
Provide third level technical support and guidance to team members by taking on escalated tickets.
Swiftly diagnose and resolve intricate technical challenges in collaboration with cross-functional teams.
Requirements
Experience in configuring, administering, and supporting IT infrastructure services including on-prem, cloud services and virtualization.
Experience with endpoint operating systems and related services; experience with Microsoft Azure & O365, Virtual Desktop technologies.
Excellent stakeholder relationship management skills, including the ability to interact, influence, and manage expectations.
Understanding of Endpoint Security, ACSC essential 8 maturity model and experience with security tools.
Experience with automation technologies and PowerShell scripts.
Postgraduate level qualifications (or progress towards) in information technology, information systems, or equivalent combination of experience/education/training.
Benefits
Flexible working options contained in leave and parenting/carer policies to support work-life balance.
Notes
Appointment to this position is subject to passing a Working with Children Check and a National Police Check.
Swinburne is dedicated to creating a varied, welcoming, and open learning and work environment that embraces diversity.
Base salary range: $100,524-$111,534 p.a. plus 17% superannuation.
Responsibilities
Work within the Business Intelligence Team to satisfy the need for quality and accurate reporting information.
Collaborate closely with team members to convert concept data into meaningful delivery of data models and valued information.
Design, model, and maintain BI pipelines focusing on data profiling, modelling, transformation, and migration within large and complex environments.
Requirements
Relevant tertiary qualification or equivalent competency.
Demonstrated experience in working with business users to define reporting requirements in a complex system environment.
Substantial relevant technical experience with planning, designing, and implementing Business Intelligence data structures and models within cloud environments like Azure.
Demonstrated experience with developing new or enhancing existing standards, processes, procedures, and guidelines in Business Intelligence and Analytics environments.
Demonstrated experience using ETL tools to design, extract, transform and load data into data models relevant for reporting and analytics.
Benefits
Flexible working options considered.
26 weeks paid parental leave after one year and 36 weeks after five years continuous service, regardless of gender.
4 weeks annual leave with the option to purchase more.
13 weeks long service leave after seven years.
Salary packaging options.
17% superannuation, with the option to reduce to the minimum super guarantee.
25% off UWA full fee courses, discounted health insurance, and convenient on-campus childcare options.
Incremental progression based on 12 months continuous service.
Notes
This position is only open to applicants with relevant rights to work in Australia.
If you require any reasonable adjustments, we encourage you to advise us at the time of application.
Base salary will be in the range $78,871.35 - $105,004.02 + 17% Superannuation (Academic Level A)
Responsibilities
Conduct in-depth research on privacy threats and vulnerabilities in XR environments.
Develop and implement threat models to assess the impact of different types of attacks on XR systems.
Contribute to the development of a risk assessment framework for AI-intensive HSE scenarios, considering privacy, ethical, and/or security implications.
Research and develop techniques for operationalizing AI principles, such as the right to be forgotten, in XR applications.
Contribute to the design and implementation of a data governance framework, including the development of DataBOM standards and blockchain-based solutions.
Collaborate with researchers and industry partners to translate research findings into practical solutions.
Publish research findings in high-quality academic journals and conferences.
Supervise research students and interns as required.
Contribute to the effective supervision of Honours and Higher Degree by Research students (as appropriate).
Demonstrate personal effectiveness in supervision and the management of researcher development.
Manage research support staff effectively throughout the employee lifecycle in accordance with University policy and procedures.
Resolve conflict and grievances when they arise in accordance with University policy and procedures.
Requirements
Completion of a PhD in the area of computer science or software engineering.
Demonstrated expert knowledge in the area of cyber security and software system analysis.
Demonstrated technical knowledge of critical infrastructures, program analysis, and mining software repositories.
Strong track record of publications with CORE A* journals/conferences.
Strong software development ability.
Evidence of a contribution to research.
Background in vulnerability assessment, reverse engineering, and responsible AI.
Excellent data analytics and statistics.
Knowledge in formal analysis.
Knowledge in SE4AI
Benefits
Access to world-class facilities and equipment
Grant writing support
Greater research funding opportunities
Up to 26 weeks of paid parental leave
17.5% annual leave loading
Flexible working arrangements including hybrid on site/WFH options
Flexible start/finish times
Genuine career progression opportunities via the academic promotions process
Visa sponsorship may be available for international candidates
Relocation support package for interstate or overseas candidates
Notes
The successful candidate may be required to complete pre-employment checks including right to work in Australia, criminal check, education check, mandatory immunisations, etc.
Visa sponsorship may be available for international candidates.