Australian National University (ANU)Canberra / ACT, ACT, Australia, 2601
Closing date:
22-Sep-2024
Expired
Dates
Opening Date: Not Available
Closing Date: 22-Sep-2024
Location
Canberra / ACT, ACT, Australia, 2601
Salary
Salary package: $112,693 - $120,506 per annum, plus 17% superannuation
Responsibilities
Collaborate with cross-functional teams, external project partners and scientific researchers to understand requirements and translate them into technical specifications.
Design and develop scalable, efficient, and maintainable Python code for data analysis and processing.
Contribute to the development and implementation of the Ice-sheet and Sea-level System Model (ISSM) across the ACCESS modelling framework.
Interpret and translate legacy and cross-language code into Python.
Create data visualisation tools and techniques to present complex information in a clear and intuitive manner.
Optimise code performance and reliability through testing, debugging, and refactoring.
Stay up to date with the latest developments in Python, data science, and related technologies.
Requirements
Proven experience (+3 years) in Python code development, with a focus on data analysis and scientific computing.
Strong proficiency in Python libraries such as NumPy, Pandas, SciPy, and Matplotlib.
Experience in MATLAB.
Solid understanding of data structures, algorithms, and software design principles.
Excellent problem-solving skills and attention to detail.
Ability to work independently and collaboratively in a fast-paced environment.
Effective communication skills and the ability to explain technical concepts to non-technical stakeholders.
Commitment to a safe, inclusive and respectful workplace environment.
Passionate about working in an organisation that values and promotes diversity, equity, inclusion and wellbeing.
Master's or PhD in Computer Science, Mathematics, Statistics, Physics, Earth Sciences or related field.
Benefits
Flexible working arrangements to encourage a healthy work/life balance, including consideration of part-time roles and remote work.
Exceptional workplace culture with a supportive, diverse and inclusive team.
Great work location with world-class staff amenities including gyms, swimming pool, childcare centres, etc.
Excellent remuneration and conditions, including 17% superannuation contributions, annual leave loading and a range of benefits.
Notes
The successful applicant must have the right to live and work in Australia.
The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.
The University of New South Wales (UNSW Sydney)Sydney, NSW
Closing date:
01-Oct-2024
Dates
Opening Date: 02-Sep-2024
Closing Date: 01-Oct-2024
Location
Sydney, NSW
Salary
Not Available
Responsibilities
Investigate quantum advantage with near-term quantum systems.
Explore the implementation of analogue quantum systems on near-term arrays of phosphorus-doped silicon quantum dots.
Explore the implementation of digital quantum algorithms on near-term, atom-based silicon hardware.
Adapt, tailor, and develop analogue quantum systems and quantum algorithms for industry focussed applications.
Work on the theory of analogue quantum systems to better understand the near- and medium-term direction of analogue quantum computing to determine when/how a quantum advantage can be achieved.
Work on the theory of quantum algorithms to better understand the medium- to long-term direction of quantum computing to determine when/how a quantum advantage can be achieved.
Work with a multidisciplinary team of quantum physicists, engineers, technicians, postdoctoral researchers, and PhD students for early-stage quantum system implementations on silicon-based quantum computer devices.
Generate high quality research publication output.
Provide technical assistance and training to the research staff and students working within SQC.
Align with and actively demonstrate the UNSW Values in Action: Our Behaviours and the UNSW Code of Conduct.
Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.
Requirements
A PhD Physics, Computer Science, Mathematics, or relevant field, with work experience in a research or commercial environment.
Demonstrated research capabilities in classical machine learning, quantum machine learning, condensed matter physics, computational physics or related field.
Experience writing high-performance quantum algorithm implementation, preferably in Python, MATLAB, C/C++, or equivalent. GPU programming experience.
Experience with Python quantum computing packages such as OpenQASM (Qiskit), Cirq, Project Q, or equivalent.
Experience in troubleshooting and solving complex unplanned issues.
Well-organised, attention to detail and ability to meet deadlines.
Excellent written and verbal communication skills.
Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.
Base salary will be in the range $78,871.35 - $105,004.02 + 17% Superannuation (Academic Level A)
Responsibilities
Produces quality research outputs consistent with discipline norms by publishing or exhibiting in high-quality outlets.
Participate in applications for competitive research funding to support projects and activities.
Work with colleagues in the development of joint research projects and applications for competitive research funding support.
Contribute to progressing towards transfer of knowledge, technology and practices to research end users through translation, including commercialisation of UQ intellectual property.
Develop a coherent research program and an emerging research profile.
Review and draw upon best practice research methodologies.
Present quantitative and qualitative data from and about the community in appropriate formats for various stakeholders, including funders, collaborators, senior management, community members, and the public.
Develop neuroimaging pipelines and best practices for reproducible neuroimaging.
Contribute to the effective supervision of Honours and Higher Degree by Research students (as appropriate).
Demonstrates personal effectiveness in supervision and the management of researcher development.
Effective lead and develop supervisee performance and conduct by providing feedback, coaching, and professional development.
As appropriate, manage research support staff effectively throughout the employee lifecycle in accordance with University policy and procedures.
Working to promptly resolve conflicts and grievances when they arise in accordance with University policy and procedures.
Promote the goals, achievements, and value of the Neurodesk community to its participants and stakeholders and encourage buy-in and participation in programs and initiatives.
Identify, seek out, cultivate and welcome new members and establish new partnerships and collaborations; encourage community formation and development of communities of interest.
Requirements
Completion or near completion of a PhD in the discipline area.
An emerging profile in research in the discipline area.
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 strong desire to contribute to open-source projects and building communities.
A solid background or strong interest in learning technical skills, such as Python programming, software container building, GitHub actions.
Evidence of teaching experience and engagement with open-source communities.
The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia and education checks.
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
Visa sponsorship may be available for this appointment.
Relocating from interstate or overseas? We may support you with the visa sponsorship process and a relocation support package.
Base salary will be in the range $98,582 - $107,349 + 17% Superannuation (HEW Level 7)
Responsibilities
Leading the development and management of the interactive data dashboard for Health Services and stakeholders.
Developing reports and dashboards based on available data from core systems and identifying opportunities for automation.
Contributing to development of analytic outputs from the ATLAS data infrastructure.
Contributing to the maintenance and improvement of the ATLAS data pipeline.
Documenting code and contributing to data dictionaries, codebooks and other administrative documentation.
Occasional travel interstate and intrastate may be required.
Requirements
A degree in Computer Science, Information Technology, Health Information Management, or a relevant scientific discipline, with at least four (4) years subsequent relevant experience; or an equivalent combination of relevant experience and education/ training.
Demonstrated experience in data analytics and visualisation using Python, SQL, R, and Django.
Demonstrated experience and confidence in web development tools and frameworks, including (not limited to) Django, JavaScript, and Dockers.
Demonstrated high level organisational ability and initiative including evidence of being effective in work planning, research and prioritising to meet deadlines, often with competing demands in a complex team environment.
Demonstrated high level communication skills and the ability to communicate effectively with a range of audiences.
The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia.
Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family
UQ Study for Staff
Salary packaging options
Notes
Aboriginal and Torres Strait Islander candidates are strongly encouraged to apply.
You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Visa sponsorship is not available for this appointment.
Salary range $98,582.63 - $107,349.47 (HEW 7), plus a generous super allowance of up to 17%.
Responsibilities
Apply specialised expertise in applications such as SAP Business Objects, Power BI, Excel (M and DAX), and programming language, such as Python.
Provide data-based solutions for business problems with insightful reports and presentations for internal and external stakeholders across UQ to identify trends and opportunities for service delivery improvements.
Independently collect, interpret, and analyse data from existing data sources and provide support to stakeholders in developing new data sets.
Provide this data intelligence for decision making related to resource allocation and business process development.
Analyse and optimise data reporting, including live-updating dashboards.
Clean and prepare datasets for modelling.
Maintain awareness of relevant technology and software improvements to benefit the collection, integration, presentation, and analysis of data within UQ.
Requirements
Bachelor's degree and subsequent experience in a relevant field.
Demonstrated ability in compiling and analysing complex data sets.
Working knowledge of Data transformation techniques: aggregation, resampling, filtering, etc.
Demonstrated application of data intelligence to address and enhance student experience, retention, and employability development within the higher education sector.
Strong communication and organizational skills.
Ability to build and maintain relationships with stakeholders.
Python programming skills.
Familiarity with SAP Business Objects, Power BI, and Excel (M and DAX) will be highly regarded.
Unrestricted work rights in Australia for the duration of this appointment.
May be required to complete background checks including, criminal history and education checks.
Access to flexible working arrangements including hybrid working options, flexible start/finish times, purchased leave, and a condensed fortnight.
Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family.
On campus childcare options.
Cheap parking (from just $5.75 a day).
Salary packaging options.
Notes
Applications close Sunday 22 September 2024 at 11.00pm AEST (Job Reference Number - R-42963).
Interviews have been tentatively scheduled for 4 October 2024.
Griffith University170 Kessels Rd, Nathan QLD 4111, Australia
Closing date:
Not specified
Dates
Opening Date: Not Available
Closing Date: Not Available
Location
170 Kessels Rd, Nathan QLD 4111, Australia
Salary
HEW 8 Salary - Base range -$108,764.25 - $122,356.68 + 17% superannuation. The total FTE package is in the range $127,254.18 - $143,157.32
Responsibilities
Manage existing systems and develop new pipelines, automations, and platforms to streamline management.
Experience in DevOps, developing pipelines and automations using tools like Ansible, Terraform, JSON, DevOps, Gitlab and repositories.
Support a large enterprise Microsoft Windows server environment.
Use SCCM, SCOM, Active Directory, and Group Policy.
Requirements
Experience in one or more relevant programming languages e.g. PowerShell, Python or similar.
Experience in using APIs.
Experience and/or qualification in Microsoft Azure.
Proactive, self-starter with the ability to work independently and collaboratively.
Good interpersonal skills with the ability to interact with a variety of internal and external stakeholders.
Experience working in an agile environment well regarded.
Benefits
Wide range of Learning and Development opportunities
Mix of on campus and work from home options available and a supportive work environment
Salary packaging options and corporate health discounts
Generous leave entitlements including paid parental leave and leave loading
Support with future learning opportunities through our educational staff assistance scheme
Opportunities for internal mobility
Health Safety and Wellbeing initiatives – on campus Gym facilities
Notes
This is a continuing position and will be primarily based at the Griffith University Nathan campus.
Griffith is a multi-campus University, you may be required to work across other campus locations.
Applicants must have unrestricted working rights. Sponsorship is not available for this position. Successful candidates may be subject to a criminal history check.
The 2022 value was $28,854 AUD. Successful scholarship applicants will receive a tax-free scholarship, indexed annually, and beginning in February or April 2023, for 3 years. The award will provide living allowances and tuition fees for international students for 3-3.5 years.
Responsibilities
Complete a Doctor of Philosophy degree (PhD) at Griffith University (Gold Coast campus), Australia.
Be co-supervised by Griffith Health Clinical Science academics Dr Jayishni Maharaj and Prof Jim Woodburn.
Integrate into the research programs focusing on foot and ankle health and rehabilitation.
Innovate current management interventions to reduce foot ulcerations in people with diabetes.
Combine personalised biophysical modelling, smart textile technologies, and advanced manufacturing techniques to optimise and 3D print interventions.
Requirements
Awarded a, or on track by December 2022 to receive a first-class Honours in a related area e.g., Exercise Science, Podiatry, Biomedical science, or Biomedical Engineering.
A Master of Philosophy or Masters by course work with an overall grade >85%, that contained a substantial research project component in one of these areas; with an interest in physiological adaptations to exercise.
Experience in conducting human research (desirable).
Experience with some signal processing and coding in MATLAB or Python, and experience with processing medical imaging (desirable).
Experience with publishing in high-quality peer-reviewed scientific journals (desirable).
Benefits
Study with a University that ranks among the top 2% worldwide.
Support for professional and personal development of HDR candidates.
Access to exceptional research facilities including a state-of-the-art motion capture laboratory and imaging laboratories.
Collaborative research environment with senior professorial staff, post-doctoral research fellows, and PhD students.
Notes
Self-funded applicants are welcome.
Mentoring through an Australian Research Training Program (RTP) scholarship (or equivalent) application is available for those requiring funding.
Consideration for applications from individuals with secured research funding from sources other than the Australian government or Griffith University.
The University of New South Wales (UNSW Sydney)Kensington, Sydney, NSW
Closing date:
02-Oct-2024
Dates
Opening Date: 19-Sep-2024
Closing Date: 02-Oct-2024
Location
Kensington, Sydney, NSW
Salary
Starting salary $143007 plus 17% superannuation and leave loading
Responsibilities
Consult and liaise with project leaders, management team, data scientists, education designers and other stakeholders to understand business needs and lead AI system planning, delivery and support.
Collaborate with divisions, faculties and schools to understand their business issues and needs and provide relevant advice or AI solutions that meet their requirements.
Develop, implement, monitor and maintain AI systems using the University approved platforms, managing and optimising data storage and retrieval systems to enable security outcomes.
Provide thought leadership and technical expertise in relation to AI at UNSW.
Design and implement AI models monitoring Azure and AWS resources to ensure AI systems operate in accordance with UNSW standards.
Manage requests and release in DevOps and AI processes.
Provide end-to-end testing support, defining requirements, implementing processes and reporting results.
Provide end-to-end AI System support, responding to requests from stakeholders and implementing solutions.
Create and maintain documentation, including model documentation, systems diagrams and tailored reports as required.
Maintaining and improving AI Systems to ensure technology currency, minimise hallucination model drift and improve performance over time, ensuring that they continue to work as intended.
Identify opportunities for continuous improvement and new projects by investigating and testing new technologies and collaborating with colleagues to evaluate and implement enhancements or new solutions that facilitate improved outcomes for key stakeholders.
Align with and actively demonstrate the Code of Conduct and Values.
Ensure hazards and risks psychosocial and physical are identified and controlled for tasks, projects, and activities that pose a health and safety risk within your area of responsibility.
Requirements
Postgraduate degree in Computer Science, Software Engineering or related field with relevant experience in data engineering, cloud engineering, business intelligence development, or an equivalent level of competency gained through any combination of education, training or experience.
Advanced cloud computing skills and experience in the development and implementation of AI resources and pipelines in cloud-based computing environments.
Advanced programming skills and experience in the implementation and management of structured and unstructured big data analysis. Proven experience in Python and PySpark is highly desirable.
Demonstrated ability to define, develop and implement testing procedures, including knowledge of automated testing software and methodologies.
Demonstrated ability to conduct impact assessments and implement mitigation measures to ensure compliance with cyber and data security and privacy regulations and changes to data collection requirements for the university, identifying ways to collect data in the enterprise systems that protect sensitive data, including research, student and staff data.
Demonstrable high-level problem-solving and analytical skills, to identify and implement required developments and processes to deliver and improve data service solutions.
Demonstrated ability to work proactively and effectively in a collaborative and interdisciplinary environment of teams and stakeholders.
Exceptional communication and interpersonal skills with the ability to build and maintain effective working relationships and convey ideas and information in a clear and professional manner through presentations, written communication, high-quality analysis, submissions, reports and recommendations.
High level organisational and project management skills with experience contributing to large projects in a technical capacity with a wide variety of stakeholders in an agile, deadline-driven environment.
An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
Knowledge of health & safety (psychosocial and physical) responsibilities.
Benefits
Career development opportunities
17% Superannuation contributions and additional leave loading payments
Additional 3 days of leave over December/January holiday period
Discounts and entitlements (retail, education, fitness)
Notes
Sponsorship is not available for this role, valid Australian working rights are required on application.
The University reserves the right not to proceed with any appointment.
The University of MelbourneParkville, Victoria, Australia
Closing date:
29-Sep-2024
Expired
Dates
Opening Date: 20-Sep-2024
Closing Date: 29-Sep-2024
Location
Parkville, Victoria, Australia
Salary
UOM 8 – $119,742 - $129,607 p.a. plus 17% super
Responsibilities
Developing software applications independently and collaboratively, utilising common frameworks and CI/CD processes, ensuring alignment with functional requirements and security principles
Creating automated testing scripts and ensure applications are monitored, available, and functioning as required, working closely with Enterprise Technology teams
Participating in Agile practices, contributing to documentation, training materials, and team knowledge sharing, while identifying opportunities for process improvement
Mentoring new team members, supporting continuous improvement, and ensuring compliance with University risk management and OH&S requirements
Requirements
A postgraduate qualifications or progress towards postgraduate qualifications and extensive relevant experience; or extensive experience and management expertise; or an equivalent combination of relevant experience and/or education/training
Strong technical expertise with broad and in-depth knowledge and skills in multiple technology sets including but not limited to Python (Django/Flask), Microsoft Power Platform and Power Apps, Java, .NET, React/Angular, Javascrip/JQuery/CSS/HTML, SQL, PHP, Object Oriented Programming, AWS
Experience in the configuration and operation of DevOps CI/CD and Application Lifecycle Management (ALM) tools and processes including Github/Gitlab, Docker/Kubernetes, Ansible, Terraform, Azure DevOps and Rancher
Benefits
Generous leave provisions
Salary packaging
Health and well-being services
Discounts on graduate courses
Notes
This role requires the successful candidate to undergo and maintain an up-to-date Working with Children Check.
Visa sponsorship is not available for this position. This role requires current valid work rights for Australia.
The University of MelbourneParkville, Victoria, Australia
Closing date:
30-Sep-2024
Dates
Opening Date: 23-Sep-2024
Closing Date: 30-Sep-2024
Location
Parkville, Victoria, Australia
Salary
UOM 8 – $119,742 – $129,607 p.a. plus 17% super
Responsibilities
Developing, maintaining, overseeing, and enhancing testing assets, artefacts, and methodologies for automation, including frameworks and automated tests for web applications and back-end functionality.
Produce test deliverables and execute automation testing.
Establish and implement optimal strategies for Unit, Integration, and UI automation testing within a CI/CD environment, prioritising high-value, risk-based testing and rapid feedback throughout the pipeline.
Design and implement reusable automated tests for execution in a CI/CD pipeline.
Assist in the adoption and execution of API testing methods.
Requirements
Undergraduate qualifications in a relevant discipline or an equivalent combination of relevant experience and education/training in Testing.
Extensive experience and expertise in developing and maintaining automation frameworks and test scripts using Selenium with Python and C#, alongside the Microsoft technology stack (C#, ASP.NET, SQL Server, Coded UI, Microsoft Visual Studio).
Demonstrated experience in test automation techniques for API (Postman), service layer, client, and Windows-based applications, as well as mass/bulk execution methods using tools like Selenium Grid and Test Agents Pool.
Exposure to Testing Integration in DevOps pipeline CI/CD preferably using Bamboo/GitHub.
Experience in automation testing with Salesforce.
Benefits
Generous leave provisions
Salary packaging
Health and well-being services
Discounts on graduate courses
Notes
This role requires the successful candidate to undergo and maintain an up-to-date Working with Children Check.
Visa sponsorship is not available for this position. This role requires current valid work rights for Australia.