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Closing: 13-Nov-2024
Job Summary
Dates
- Opening Date: 16-Oct-2024
- Closing Date: 13-Nov-2024
Location
- Sydney, NSW
Salary
- $110K - $117K plus 17% superannuation and annual leave loading
Responsibilities
- Manage the technical aspects of oceanographic databases, including coordinating and executing data cleaning, data processing (real time and delayed mode), data management processes and ensuring research integrity in research databases.
- Take responsibility for data QA/QC (real time and delayed mode) a variety of oceanographic instruments and variables.
- Contribute to the development and maintenance of Python code and toolboxes for ocean data processing, analysis, and visualisation.
- Contribute to the development of real-time data delivery tools and techniques and real-time data display.
- Collaborate with the research team in carrying out original and independent research into the dynamics of the East Australian Current System and continental shelf processes to achieve project outcomes.
- Contribute to the writing of high-quality research articles and/or technical reports for prompt publication in peer-reviewed academic journals and communicate project outcomes at conferences, seminars and to industry partners.
- Provide quantitative data analysis, and research as required to support various research, consultancy and development projects and grant applications.
- Represent the project and the University at national and international conferences and/or workshops relevant to the project as required.
- Build and maintain networks with national and international ocean observing and modelling communities.
- Perform project administrative tasks as required, e.g., contribute to the development of project planning documents, budgets, and regular reporting.
- Assist with the supervision of research students in the research area where required.
- Participate in collection of oceanographic data through participation in Research Cruises aboard large and small vessels as required.
- 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
- PhD and documented research experience in physical oceanography.
- Proficiency working with, organising and analysing large geophysical from ocean observing systems (e.g., Argo, satellite, HF Radar, glider, XBT and oceanographic mooring data, ADCP, CTD, FishSOOP, etc) and ability to critically assess oceanographic data including QA/QC.
- Strong track record in regional dynamical oceanography; and the ability to analyse and critically assess oceanographic models and observational data as evidenced by publications in internationally recognised peer reviewed journals.
- Excellent programming ability, including proficiency in Python and NetCDF; and experience working with Linux, high-performance computing environments and GitHub or similar.
- Experience with cloud computing highly desirable.
- Scientific writing skills in English, as evidenced by publications in internationally recognised, peer-reviewed journals and technical reports.
- Demonstrated self-motivation and ability to work independently with limited supervision.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Strong interpersonal skills with demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
- Attention to detail and an ability to organise and prioritise tasks and manage projects in a timely fashion.
- 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.
Benefits
- Not Available
Notes
- Please apply online - applications will not be accepted if sent to the contact listed.
Closing: 13-Nov-2024
Job Summary
Dates
- Opening Date: 16-Oct-2024
- Closing Date: 13-Nov-2024
Location
- Sydney, NSW
Salary
- $110K - $117K plus 17% superannuation and annual leave loading
Responsibilities
- Manage the technical aspects of oceanographic databases, including coordinating and executing data cleaning, data processing (real time and delayed mode), data management processes and ensuring research integrity in research databases.
- Take responsibility for data QA/QC (real time and delayed mode) a variety of oceanographic instruments and variables.
- Contribute to the development and maintenance of Python code and toolboxes for ocean data processing, analysis, and visualisation.
- Contribute to the development of real-time data delivery tools and techniques and real-time data display.
- Collaborate with the research team in carrying out original and independent research into the dynamics of the East Australian Current System and continental shelf processes to achieve project outcomes.
- Contribute to the writing of high-quality research articles and/or technical reports for prompt publication in peer-reviewed academic journals and communicate project outcomes at conferences, seminars and to industry partners.
- Provide quantitative data analysis, and research as required to support various research, consultancy and development projects and grant applications.
- Represent the project and the University at national and international conferences and/or workshops relevant to the project as required.
- Build and maintain networks with national and international ocean observing and modelling communities.
- Perform project administrative tasks as required, e.g., contribute to the development of project planning documents, budgets, and regular reporting.
- Assist with the supervision of research students in the research area where required.
- Participate in collection of oceanographic data through participation in Research Cruises aboard large and small vessels as required.
- 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
- PhD and documented research experience in physical oceanography.
- Proficiency working with, organising and analysing large geophysical from ocean observing systems (e.g., Argo, satellite, HF Radar, glider, XBT and oceanographic mooring data, ADCP, CTD, FishSOOP, etc) and ability to critically assess oceanographic data including QA/QC.
- Strong track record in regional dynamical oceanography; and the ability to analyse and critically assess oceanographic models and observational data as evidenced by publications in internationally recognised peer reviewed journals.
- Excellent programming ability, including proficiency in Python and NetCDF; and experience working with Linux, high-performance computing environments and GitHub or similar.
- Experience with cloud computing highly desirable.
- Scientific writing skills in English, as evidenced by publications in internationally recognised, peer-reviewed journals and technical reports.
- Demonstrated self-motivation and ability to work independently with limited supervision.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Strong interpersonal skills with demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
- Attention to detail and an ability to organise and prioritise tasks and manage projects in a timely fashion.
- 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.
Benefits
- Not Available
Notes
- Please apply online - applications will not be accepted if sent to the contact listed.
Closing: 28-Jun-2024
Expired
Job Summary
Dates
- 28-Jun-2024, Closing Date
Responsibilities
- - Analyzing and visualizing statistical data to support research on violence against women
- - Providing advanced analytical services and consulting with investigators
- - Conducting comprehensive research and modeling
- - Developing the center’s web-based platform and managing statistical datasets
- - Improving data analysis capabilities and implementing new analytical processes
Requirements
- - Expertise in gender statistics and data analysis
- - Proficiency in data visualization and managing large datasets
- - Problem-solving skills and experience in experimental validation and advanced analytics
- - Substantial quantitative research and statistical analysis experience
- - Business analysis techniques and strong planning skills
- - Excellent relationship management and communication skills
Benefits
- - Help shape a future where violence against women is eliminated
- - Be surrounded by extraordinary ideas and people
- - Amplify impact in an ARC Centre of Excellence and at a world top 50 University
Notes
- - Job No.: 651156
- - Employment Type: Full-time
- - Duration: 3-year fixed-term appointment
Closing: 22-Oct-2024
Expired
Job Summary
Dates
- Opening Date: 02-Oct-2024
- Closing Date: 22-Oct-2024
Location
- St Lucia Campus
Salary
- Base salary will be in the range $98,582.63 - $107,349.47 + 17% Superannuation (HEW Level 7)
Responsibilities
- Engineer, prototype, validate and deploy statistical, machine learning models and analytic solutions to solve challenging problems using both R and Python.
- Develop and conduct complex statistical analysis plans for research studies, including the application of statistical analysis techniques such as regression, text mining, topic modelling, sentiment analysis, and choice modelling.
- Build comprehensive data repositories through the integration of individual data sets which include both primary and secondary data.
- Engineer raw data into analysis-ready format and deploy statistical and machine learning models in the cloud to support visualisations and investigations.
- Manage complex large-scale datasets, ensuring best-practice data governance and fulfilment of ethical obligations.
- Develop and deploy data visualisation tools and dashboard solutions, ensuring high standards of user/customer experience.
- Provide statistical consulting, identify data needs and work with stakeholders to identify requirements for customer insights, innovation and commercialisation.
- Contribute to project publications including reports, scholarly and industry manuscripts and presentations.
Requirements
- A PhD or masters qualification preferably in Data Science (or a combination of statistics and computer science), or Business, Management, and Marketing.
- Experience and knowledge of data science approaches to drive evidence-based business decision making.
- Experience and proficiency in collecting, investigating, manipulating and analysing complex datasets using R and Python programming languages, as well as visualisation tools such as Shiny dashboards and Plotly.
- Advanced knowledge of statistical analysis and machine learning techniques, including natural language processing, predictive modelling, and multivariate analysis.
- Demonstrated ability to plan, organise, and execute a diverse program of work, effectively managing projects and tasks.
- Experience conducting research with large-scale primary and secondary datasets, contributing to industry or academic insights.
- Excellent written communication skills, including the ability to prepare reports, papers, and submissions for industry, government, and academic audiences.
- Strong interpersonal skills with the ability to collaborate, consult, and negotiate across different levels and disciplines.
Benefits
- 26 weeks paid parental leave or 14 weeks paid primary caregiver leave
- 17% superannuation contributions
- 17.5% annual leave loading
- 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
- UQ Study for Staff
- On campus childcare options
- Cheap parking (from just $5.75 a day)
- Salary packaging options
Notes
Closing: 16-Oct-2024
Expired
Job Summary
Dates
- Opening Date: Not Available
- Closing Date: 16-Oct-2024
Location
- Hawthorn campus, Swinburne University of Technology
Salary
- Attractive salary including 17% super
Responsibilities
- Leverage advanced data science techniques to provide actionable insights that optimize student outcomes and support strategic initiatives across the university.
- Translate complex data into meaningful solutions to shape educational strategies.
- Build strong relationships with a variety of stakeholders and provide expert advice on complex issues.
Requirements
- Experience with Machine Learning Algorithms, Predictive Analytics, Regression.
- Proficiency in SQL, Python, and R, along with associated machine learning libraries.
- Experience with version control technologies such as GiT, GitHub, Mercurial, Subversion or similar.
- Experience in providing visualizations of complex data.
- Experience in leveraging integrated data for the development of business models and analytical applications.
Benefits
- Flexible working options
- Leave and parenting/carer policies to support work-life balance.
Notes
- Appointment to this position is subject to passing a Working with Children Check.
Closing: 23-Jun-2024
Expired
Job Summary
Dates
- 07-Jun-2024 - Job Opening
- 23-Jun-2024 - Job Closing
Responsibilities
- Sourcing, manipulating, cleaning, analysing, and transforming data from diverse sources to meet reporting needs across the Student Support and Delivery portfolio and external University stakeholders upon request.
- Developing and implementing data models, algorithms, and statistical methods to uncover trends and patterns.
- Translating intricate datasets into succinct reports with compelling narratives, emphasising key findings and recommendations for non-technical stakeholders.
Requirements
- Tertiary qualification in data science, computer science, statistics, mathematics, or related fields, or equivalent combination of experience and education/training.
- Proficiency in Excel, including Power Query, VBA, advanced functions, pivot tables, and data visualisation for effective analysis and presentation.
- Strong proficiency in Python or similar programming languages for data analysis.
- Experience with data visualisation tools such as Tableau, Power BI, or similar platforms for creating interactive and visually appealing dashboards.
Benefits
- Brilliant benefits and a flexible hybrid work environment!
Closing: 15-Jul-2024
Expired
Job Summary
Dates
- 03 Jun 2024 - Job Opening
- 15 Jul 2024 - Job Closing
Responsibilities
- Under the guidance and support of Senior Academic staff conduct internationally competitive research, resulting in publications in high impact journals
- Contribute to teaching, training, scientific mentoring and supervision of students
- Contribute to and publish academic papers and other scholarly outputs to a high academic standard in accordance with the research expectations of the University of Melbourne
- Actively participate in research seminars and conferences to disseminate research findings as opportunities arise
- Contribute to the preparation, or where appropriate individual preparation of research proposal submissions to internal or external funding bodies as relevant
Requirements
- Completion (or near completion) of a PhD in statistics, data science, mathematics, computational biology, or a related discipline
- Strong background in statistics, data science, and/or AI/ML
- Strong computer programming skills
- Experience with Bayesian statistics
Benefits
- Salary packaging
- Subsidised health and wellbeing services
- Fitness and cultural clubs
- Myki discounts
- 25% discount on graduate courses to staff and their immediate families
Notes
- Visa sponsorship is available for this position
- Working with Children Check is required for the successful candidate
Closing: 19-Jun-2024
Expired
Job Summary
Dates
- Opening date: 04-06-2024
- Closing date: 19-06-2024
Responsibilities
- Develop your reporting and analysis skills and deliver reporting and support services for research grant management, higher degree research, and research ethics compliance.
- Implementing reporting solutions to ensure that business requirements are met.
- Analysing business needs in a university setting, extracting data from enterprise systems (HR, Grants, Publications, Finance), creating and delivering reports and delivering reporting solutions.
- Identifying and implementing improvements to administrative processes.
Requirements
- Basic experience using databases, data analysis software, automation, and programming (e.g., SQL, XML) to analyse datasets, perform complex analysis, and generate reports.
- Attention to detail, methodical work approach, and the ability to identify issues.
- Proficiency in documenting progress and solutions using software tools.
- Organisational skills, both for independent work and collaboration within a team.
- Ability to escalate issues, prioritise tasks, and meet deadlines in a fast-paced environment.
- Effective customer service, verbal, and written communication skills, especially when conveying technical concepts to internal and external stakeholders.
- Understand and commit to UNSW’s aims, objectives, and values.
- Knowledge of health and safety responsibilities, including psychosocial and physical aspects.
Benefits
- Competitive salary and access to UNSW benefits including:
- Flexible/Hybrid working
- Additional 3 days of leave over the Christmas Period
- Access to lifelong learning and career development
- Progressive HR practices
- Discounts and entitlements
- Affordable on-campus parking
Notes
- Hybrid/flexible working, full-time (35 hours week), permanent role
- Reporting to the Deputy Director of Research Analysis, Data and Reporting, Karoliina Guss
- UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged.
- UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.
- The University reserves the right not to proceed with any appointment.
Closing: 23-Jun-2024
Expired
Job Summary
Dates
- Jun 23 2024 - Closing Date
Responsibilities
- Support a range of facilities management activities and projects within the University’s data centres and network room environments
- Deliver IT services to a diverse range of clients within a large campus setting
Requirements
- Knowledge and experience across all areas of data centre operations
- Proven capabilities in delivering IT services to a diverse range of clients within a large campus setting
Benefits
- Competitive remuneration packages including 17% superannuation
- Flexible and hybrid working options
- Discounted study opportunities
- Professional development initiatives
- On-site Gyms and sports clubs
- Family-friendly campus with childcare facilities
- Salary sacrificing options
- Employee Assistance Program
- Leading parental leave entitlements
Notes
- Full time, Continuing Position
- Physically fit and enthusiastic to perform physical and manual handling elements of the role
- Experience in the higher education sector or similarly complex campus environment would be highly regarded
Closing: 30-Jun-2024
Expired
Job Summary
Dates
- 30 Jun 2024 - Closing Date
Responsibilities
- The Data and Research Computing Specialist will play a key role in supporting scientists across SAiGENCI, in particular the Computational Systems Oncology team.
- This role will be responsible and accountable for the effective communication of computational requirements and needs to the University of Adelaide’s ITDS and Research Computing teams.
Requirements
- Postgraduate degree preferably in information management, information technology, computing, or data-intensive research discipline.
- Strong technical knowledge and expertise in research computing infrastructure configuration and management.
- Experience in designing solutions for processing large sensitive data sets on shared HPC systems.
Benefits
- Fixed term, full-time position available for 12 months with the possibility of extension.
- Salary packaging, flexible work arrangements, professional development programs, on-campus health clinic, gym, and fitness facilities.
Notes
- Job no: 512920
- Fixed term - Full-time
- HEO8
- Together with the University of Adelaide’s ITDS and Research Computing teams, the South Australian immunoGENomics Cancer Institute (SAiGENCI) is inviting applications to apply for the Data and Research Computing Specialist position.
- Applicants should have a postgraduate degree or an equivalent combination of relevant experience and/or education/training.
Closing: 30-Jun-2024
Expired
Job Summary
Dates
- 30-JUN-2024 - Applications Close
Responsibilities
- Full timeFixed term to 31 Jun 29HEWL 9
Requirements
Benefits
Educational Data Analyst
Australian Catholic University
Canberra, Australia | Blacktown, Australia | North Sydney, Australia | Strathfield, Australia | Brisbane, Australia | Adelaide, Australia | Ballarat, Australia | Melbourne, Australia
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Closing: 17-Jun-2024
Expired
Job Summary
Dates
- 03-JUN-2024 - Job Opening
- 17-JUN-2024 - Job Closing
Responsibilities
- Lead the design and creation of a comprehensive student data dashboard tailored to ACU Thrive
- Design and implement systems to collect, process, and analyze data on student engagement, learning, and teaching quality
- Establish mechanisms to gather and analyze evaluation data specifically for first-year undergraduate units
- Consult and work closely with academic and professional faculty staff to understand their data needs
- Develop and implement protocols to maintain the accuracy, completeness, and confidentiality of student data
Requirements
- Experience in data analysis and dashboard creation
- Knowledge of data systems and analysis
- Ability to work with academic and professional faculty staff
- Understanding of data privacy regulations
- Strong communication and collaboration skills
Benefits
- Total remuneration valued to $130,436 - $145,816 total rem (pro rata) pa
- 17% employer superannuation contributions
- Annual leave loading of an equivalent to 17.5% of four weeks' salary pro rata payable
- Generous benefits including flexible work, study leave, and salary packaging
Notes
- National based role, opportunity to work on any ACU Campus
- Full time, fixed term contract til 31st December 2024
- Candidates must hold Australian work rights to apply for this position
Closing: 20-Jun-2024
Expired
Job Summary
Dates
- 20-Jun-2024 - Closing Date
Responsibilities
- Collaborate with the Director, Student Support to develop and implement a comprehensive Student Support and Success Strategy.
- Oversee critical student support projects, ensuring comprehensive planning, resource coordination, and alignment with strategic objectives.
- Generate and extract data to analyze and report on student retention strategies and interventions.
- Establish systems, processes, and standard reports to facilitate the collection and analysis of primary and secondary student data and feedback.
- Monitor and streamline reporting for SSAF and HEPPP funding and associated activities.
Requirements
- Tertiary qualifications in a relevant discipline such as Data and Analytics, Data Science, Business, Statistics, or Project Management with at least 4 years subsequent relevant experience.
- Advanced proficiency in data analytics, automated reporting, and dashboard development.
- Demonstrated experience in project management and strategic planning and reporting.
- Knowledge and experience in survey and evaluation data, both quantitative and qualitative.
Benefits
- Flexible work arrangements, including hybrid work models.
- Generous relocation support available.
- Full-time, continuing (permanent) position.
Notes
- Full-time, continuing opportunity.
- Located at Gold Coast.
- HEW Level 8.
Closing: 12-Sep-2024
Expired
Job Summary
Dates
- Opening Date: 29-Aug-2024
- Closing Date: 12-Sep-2024
Responsibilities
- Lead all aspects of data systems development and insightful analytics to support CSI’s work in sustainable agriculture.
- Oversee the development, operations and maintenance of the CSI data systems.
- Ensure compliance with data governance framework, policies and standards, ensuring data quality and security.
- Collaborate and communicate with internal and external stakeholders to understand data needs and expectations.
- Deliver solutions that add value and impact to CSI’s work to support farmers in adopting innovative agronomic strategies.
Requirements
- Degree in computer science, data science, statistics, mathematics or other relevant field or equivalent experience.
- Proven track record of delivering solutions, support and enhancements that enable business operations and innovation.
- In-depth knowledge and experience in data analytics, systems administration, and data governance and management.
- Analytical mindset to proactively problem solve.
- Excellent communication and collaboration skills.
Benefits
- Work life balance (including a hybrid work model)
- Professional development opportunities
- Salary packaging and sacrifice options
- Sporting facilities (pool, tennis courts, fields) and car parking on our campuses
- Onsite childcare facilities.
Notes
- This position is open to Australian Citizens and Permanent Residents; or applicants who hold a current valid work visa commensurate with this position.
- Additional information is available in the position description or by contacting Hugh Palmer | Director, Global Digital Farm | hupalmer@csu.edu.au | Ph: 02 6933 2433.
Closing: 04-Sep-2024
Expired
Job Summary
Dates
- Opening Date: 21-Aug-2024
- Closing Date: 04-Sep-2024
Responsibilities
- Assist with the completion of funded research projects by providing statistical research data support, including cleaning of data and the analysis of large-scale and longitudinal survey data, qualitative data, meta-analyses, systematic reviews and preparation of research project reports.
- Oversee and manage the data management of project data collected across the Institute.
- Conduct high-level analysis and collation of statistical research data using basic structural equation modelling programs such as SPSS, MLM, LISREL, R, MPlus and AMOS.
- Clean and analyse quantitative and qualitative research data and collate data to prepare statistical research project reports and presentations for internal and external stakeholders.
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- Attend and contribute to research progress meetings with team members, providing updates and driving progress on scheduled data analysis.
- Provide training to staff members and students across the research institute on data analysis techniques.
Requirements
- Not Available
Benefits
- Flexible work arrangements
- Study leave
- A variety of leave provisions
- Salary packaging
- Employer contribution to superannuation
- Annual leave loading
Notes
- This position requires a Working with Children Check (WWCC) and/or Working with Vulnerable People Check (WWVP) (ACT only).
- ACU does not accept candidate applications submitted by external recruitment agencies through the ACU careers website.
Closing: 08-Sep-2024
Expired
Job Summary
Dates
- Opening Date: Not Available
- Closing Date: 08-Sep-2024
Responsibilities
- Establish and lead ACU's data management and data governance practices.
- Ensure that ACU's data assets are managed effectively, aligning with the university's strategic objectives.
- Ensure compliance requirements relating to cyber security risks, data security, data privacy and data governance.
- Develop and deploy data governance frameworks and guidelines, including people, processes and tools to govern ACU's enterprise data.
- Provide thought leadership at ACU in this crucial enterprise capability.
- Drive, guide and support uplifting ACU's data maturity.
Requirements
- Candidates must hold Australian work rights to apply for this position.
- For permanent/continuing roles, applicants must have permanent work rights.
Benefits
- Flexible work arrangements.
- Study leave and a variety of leave provisions.
- Salary packaging options.
- Access to generous benefits as an ACU staff member.
Notes
- General enquiries can be sent to Pallavi Khanna, National Manager, Data Excellence at: Pallavi.Khanna@acu.edu.au
- ACU does not accept candidate applications submitted by external recruitment agencies through the ACU careers website.
Closing: 09-Sep-2024
Expired
Job Summary
Dates
- Opening Date: 26-Aug-2024
- Closing Date: 09-Sep-2024
Responsibilities
- Investigate data to understand the trends and drivers behind the numbers, collaborating with other analysts and stakeholders to develop broader insights.
- Deliver ongoing product and digital performance analysis, tracking, and reporting for the holistic UNSW product suite.
- Lead and support projects related to business unit strategy including growth and market entry, competitive intelligence, product development, positioning and go-to-market, process improvement, operations, etc.
- Support the design, development, maintenance and optimization of measurement and experimentation frameworks.
- Analyse and interrogate multiple data points across the team to find answers to specific questions, ensuring consistency across all reporting.
- Use sophisticated tools, such as Power BI and Adobe Analytics dashboards, to provide measurement solutions based on data.
- Build dashboards, data visualisations and reports assessing the performance of digital campaigns.
- Produce data and reporting, sharing insights from data sets and identifying trends and patterns.
- Support the quantitative design of business rules to implement workflows that enable automated lead management.
Requirements
- Relevant tertiary qualification with relevant experience in marketing and/or data analysis, or equivalent knowledge.
- Demonstrable data analytics skills with proficiency in handling complex data sets and analytical methods.
- Experience with analytics tools, particularly Adobe Analytics is highly regarded.
- Experience with Excel, Python, SQL programming language and/or data visualisation tools such as Power BI.
- Ability to work in a fast-paced environment with well-honed interpersonal skills to interact with senior stakeholders.
- Outstanding communication skills, able to present technical information simply.
- Robust commercial acumen, able to identify issues or opportunities and proactively create solutions.
- Creative problem solving with innovative and unconventional solutions.
Benefits
- Flexible working
- Additional 3 days of leave over the Christmas period
- Access to lifelong learning and career development
- Progressive HR practices
- Discounts and entitlements
Notes
- To apply, submit your CV, Cover Letter and responses to the selection criteria via the ‘Apply Now’ button.
- A copy of the Position Description can be found on JOBS@UNSW.
- Applications cannot be accepted if sent directly to the contact listed.
Closing: 09-Sep-2024
Expired
Job Summary
Dates
- Opening Date: 26-Aug-2024
- Closing Date: 09-Sep-2024
Responsibilities
- Conduct applied research that makes a difference to communities locally and around the world.
- Manipulate and analyse large datasets for research purposes.
- Contribute to the Centre for Automotive Safety Research's mission to reduce the injury and economic burden of road crashes.
- Participate in crash investigation, vehicle testing, data analysis, modelling and evaluation.
Requirements
- A tertiary degree or higher in a related field.
- Demonstrated experience in the analysis of datasets, including imperfect datasets from various sources.
- Strong communication skills, with fluency in written and spoken English.
- Ability to communicate scientific concepts via reports, publications, and presentations.
- Strong work ethic and ability to work independently and within a team.
- Ability to adapt to different research topics and dynamically prioritise contributions to achieve deadlines.
- A valid National Police Check is required.
Benefits
- Salary packaging options.
- Flexible work arrangements.
- High-quality professional development programs.
- Access to on-campus health clinic and gym facilities.
Notes
- The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.
- The University of Adelaide is an Equal Employment Opportunity employer committed to diversity and inclusion.
Closing: 15-Sep-2024
Expired
Job Summary
Dates
- Opening Date: Yesterday
- Closing Date: 15-Sep-2024
Location
- Long Pocket
Salary
- Base salary will be in the range of $98,582 to $107,349 + 17% superannuation (HEW 7)
Responsibilities
- Provide technical leadership for data administration and database management within UQ Biological Resources (UQBR)
- Collaborate with stakeholders to implement and maintain data management solutions
- Act as the service owner and technical advisor for nominated services
- Lead advancements in data administration and database management services
- Undertake operational and administrative tasks related to data management
Requirements
- Qualifications in IT or Data Management equivalent to a degree
- At least four years of relevant experience in senior-level database administration
- Strong technical knowledge across various Database Management Systems
- Experience mentoring team members and collaborating with stakeholders
- Ability to prioritize workload, meet deadlines, and solve complex problems
Benefits
- 26 weeks paid parental leave or 14 weeks paid primary caregiver leave
- 17% superannuation contributions
- 17.5% annual leave loading
- Flexible working arrangements
- Health and wellness discounts
- Salary packaging options
Notes
- The successful candidate may be required to complete pre-employment checks
- Interviews tentatively scheduled for the week starting 23/09/2024
Closing: 01-Oct-2024
Expired
Job Summary
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.
Benefits
- Not Available
Notes
- This role is a fixed-term position for 3 years.