Work collaboratively as a member of a distributed team of computational modelling specialists, within the Centre’s Modelling Science Project.
Configure, run, and modify experimental versions of the Australian community climate model (ACCESS).
Create and maintain technical documentation and contribute to the preparation of articles for publication.
Work closely and collaboratively with other staff across the Centre, under the technical direction of a more senior staff member.
Requirements
A postgraduate qualification in science, software engineering, or closely related fields.
Demonstrated experience with software development in a version controlled scientific environment, in particular solving physical problems using numerical algorithms.
Experience in computer languages such as: Fortran, Python and C/C++ in a Unix/Linux environment.
Experience with MPI-based parallelisation and with high-performance computing.
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
Role type: Full-time; Fixed-term for 3 years
Visa sponsorship is not available for this position
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!
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
The University of New South Wales (UNSW Sydney)Sydney, NSWSimilar Jobs
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.
The University of New South Wales (UNSW Sydney)Sydney, NSWSimilar Jobs
Closing: 24-Jun-2024
Expired
Job Summary
Dates
28 May 2024 - Advertised
24 Jun 2024 - Closing
Responsibilities
Manage day to day operations and work collaboratively as a member of a distributed team of research software engineers, within the Centres’ Modelling Science Project and CMS Team.
Manage software development projects in climate and weather modelling from concept through to implementation and be responsible for the subsequent evaluation and testing.
Provide recommendations for the ongoing management and continuous improvement of the systems such as providing technical support through the investigation, resolution and tracking of software issues and computational needs on NCI systems.
Maintain extensive up to date knowledge of new and innovative methods in climate computing and where appropriate negotiate the use of third-party solutions in the Centre.
Develop and maintain technical documentation and contribute to the preparation of articles for publication.
Provide high level domain support and training to researchers to improve the computational skill level throughout the Centre, including developing a program of tutorials, training exercises, and example model configurations.
Manage and implement WHS processes and safe work procedures for the computational aspects of the facility including ensuring hazards and risks are identified and controlled for tasks, projects and activities that pose a health and safety risk within your area of responsibility.
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 degree with a depth of subsequent relevant experience or an equivalent level of knowledge gained through any other combination of education, training and/or experience.
Demonstrated programming skills and experience in a Unix/Linux environment, particularly in Python, FORTRAN or other programming languages used. Experience in working in a HPC environment and/or parallel programming would be viewed favourably as would familiarity with GPU technology and experience with GPU accelerators in python.
Demonstrated capacity to assist and manage team members and students with broad technical and project planning advice, including analysing data, and optimising computational protocols.
Specific domain expertise, which may include machine learning, high-resolution atmospheric, or data science.
Knowledge and technical experience in the design and application of supercomputing and data management solutions for climate science
Knowledge of the Australian climate computing framework, including key systems and stakeholders
High level analytical and problem-solving skills
Demonstrated knowledge of best practices in software engineering. Experience with modern version control software, e.g. git and GitHub, is highly desirable.
Proven ability to work flexibly, prioritise work to meet conflicting deadlines, and to quickly adapt to new environments including a demonstrated ability to use initiative, apply sound judgement and work with minimum supervision individually and within a team environment.
Excellent verbal and written communication skills
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
missing
Notes
This position is primarily funded by the Australian Research Council Centre of Excellence for the Weather of the 21st Century. The incumbent will contribute to and benefit from being a part of a supportive and vibrant Centre community which offers unparalleled networking and professional development opportunities. The Centre is a major seven-year initiative funded by the Australian Research Council. It is a consortium of 24 partners led by Monash University in partnership with The University of Melbourne, The University of New South Wales, The Australian National University, and the University of Tasmania.
The Centre’s team-based research is focused on how Australia’s weather is being reshaped by climate change. The Centre conducts blue-sky research with real-world applications for communities, industry and government. The research program is made up of six integrated Centre Projects: Weather System Dynamics; SSTs, Modes of Variability and Weather Systems; Weather Systems in a Warmer World; Weather Resources; High-Impact Weather; and Modelling Science. This position forms an integral part of the Centre Project: Modelling Science and the research software engineer will help the Centre achieve its ambitions for a new high-resolution coupled modelling system and will assist Centre researchers through a comprehensive training and support program.
Extras
The incumbent will liaise with research staff and students within each of the five partner universities of the Centres, NCI, Australian Earth System Simulator (ACCESS-NRI), Bureau of Meteorology and CSIRO and overseas institutions. As such the incumbent will demonstrate a strong understanding of major global and Australian climate modelling initiatives and interactions between a range of organisations and model suites.
use mechanistic modelling to spatialise crop yield predictions under a variety of data input scenarios
use data-driven models and machine learning to better understand the spatio-temporal impact of soil properties, weather, management, and residual herbicides on crops
publish research in peer reviewed publications
help manage the project to ensure the delivery of project milestones
Requirements
a PhD (or near completion) in precision agriculture, crop modelling, remote sensing, computer science or other quantitative disciplines
expertise in data-centric languages such as R and/or Python
expertise in analysis of spatial data such as remote sensing, and/or ‘on-farm’ data such as yield maps
preferred expertise in mechanistic modelling such as crop simulation models (e.g. APSIM, DSSAT), or other agriculture-related simulation models (e.g. soil carbon models such as Roth-C)
preferred expertise in machine learning/AI and/or statistical modelling
a track record of publications in peer-reviewed journals
experience in liaising with industry stakeholders/farmers and managing projects involving multiple people and/or organisations
Benefits
Full time, 3 years fixed term opportunity
Opportunity to join a successful and innovative team in agricultural modelling/precision agriculture
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.
Australian Catholic University Canberra, Australia | Blacktown, Australia | North Sydney, Australia | Strathfield, Australia | Brisbane, Australia | Adelaide, Australia | Ballarat, Australia | Melbourne, AustraliaSimilar Jobs
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
CQ UniversityBrisbane, QLD, AU Sydney, NSW, AUSimilar Jobs
Closing: 31-Dec-2024
Job Summary
Dates
30 May 2024 - Job Opening Date
31 December 2024 - Job Closing Date
Responsibilities
We are currently seeking expressions of interest for casual academics to teach the Building Information Modelling and Management related units in the Master of Construction Management. This includes conducting face to face and/or online lectures, tutorials and/or assignment marking.
Requirements
Excellent grounding in Building Information Modelling (BIM) and Management theory and practice. Collaboration in BIM, Knowledge of the application of BIM to the built environment, Data and Information management and Digital Twin. Competency using proprietary BIM software applications, for authoring, checking and planning. Capacity to develop units of undergraduate and postgraduate courses. A PhD or substantial industry experience (with a post graduate degree in relevant area). Experience in teaching or conducting research in BIM related area (Desirable). Work experience within the built environment sector using BIM (Desirable).
Benefits
Apply today for a career that changes lives.
Notes
CQUniversity offers three terms of enrolment per year and casual academic staff are contracted based on student enrolments each term. Please note this vacancy is a casual pool. Your expression of interest will remain valid until the end of 2024. You will only be contacted if appropriate casual work becomes available whilst your application is active.
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.
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.
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.
Conduct meta-analyses and systematic reviews and progress write-up of reviews for publication.
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.
The University of New South Wales (UNSW Sydney)Similar Jobs
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.
The University of QueenslandSt Lucia CampusSimilar Jobs
Closing: 05-Sep-2024
Expired
Job Summary
Dates
Opening Date: 26-Aug-2024
Closing Date: 05-Sep-2024
Location
St Lucia Campus
Salary
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.