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
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.
The University of MelbourneUniversity of MelbourneSimilar Jobs
Closing: 24-Jun-2024
Expired
Job Summary
Dates
24-Jun-2024 - Closing Date
Responsibilities
Provide leadership in curriculum development, implementation, and assessment within the Faculty of Engineering and Information Technology.
Drive significant contributions towards learning and teaching, and research in engineering and computing education enhancing teaching capability and student engagement through evidence-based programs and projects.
Requirements
Completed a PhD in engineering or computing education or a relevant discipline or be close to completion.
Solid understanding of contemporary issues in teaching and learning in engineering education, particularly those relating to project-based learning and authentic learning activities and assessments.
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
Continuing Faculty: Faculty of Engineering and Information Technology
Department/School: Teaching and Learning Laboratory
Lead and coordinate advanced computational analyses of fMRI data collected from ongoing and new research projects within the NHMRC Centre of Research Excellence.
Integrate neuroimaging data with clinical, behavioural, and psychophysiological measures to identify biomarkers and predictors of treatment response.
Prepare high-quality manuscripts for publication in peer-reviewed journals and present research findings at national and international conferences.
Contribute to grant writing and funding applications to support ongoing research initiatives.
Requirements
A Ph.D. in neuroscience, psychology, biomedical engineering, computer science, or a related field.
Expertise in human neuroimaging techniques, particularly fMRI.
Demonstrated experience in advanced computational analyses of neuroimaging data, including machine learning, network analyses, and graph theory.
Proficiency in programming languages commonly used in neuroimaging research (e.g., Python, MATLAB, R).
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/Part-time (0.8-1FTE); Fixed-term for 24 months
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.
University of WollongongWollongong, NSW, AustraliaSimilar Jobs
Closing: 20-Jun-2024
Expired
Job Summary
Dates
October 2024
20-Jun-2024
Responsibilities
Develop statistical methodology for contemporary and application-driven challenges in high-dimensional Bayesian statistics
Contribute to the supervision of an associated doctoral research studentship
Conduct research in statistical methodology and statistical computing within the initiative
Requirements
Track record of high-quality research in statistical methodology, focusing on areas of Bayesian computations
Experience in effective Bayesian computational strategies such as Markov Chain Monte Carlo and Sequential Monte Carlo for high-dimensional statistical models
Benefits
Fixed Term, Full Time Appointment (2 years)
Level A salary with superannuation benefits
Notes
The post complements the expansion in Statistics research through the appointment of the TIBRA Foundation Chair in Mathematical Sciences
Join the University’s flagship research intensive institute in statistics, the National Institute for Applied Statistics Research Australia (NIASRA)
The successful candidate will achieve the research aims via a variety of research modalities including research, communication of research and Deakin’s PhD award criteria.
Requirements
Applicants must meet Deakin's PhD entry requirements, be enrolling full time and hold an Honours degree (First Class) or an equivalent standard Master's degree with a substantial research component. Please refer to the entry pathways to higher degrees by research for further information.
The successful applicant will have an undergraduate or postgraduate degree in Computer Science, Physics, Mathematics, Engineering, or related areas. This position is open to domestic candidates only (Australian PR/citizen, or New Zealand citizen).
Some prior experience with quantum computing is desirable, though not required.
Programming skills and mathematical maturity are required.
Benefits
The PhD will be of 3 years duration (with possible extension to 3.5 years)
The project will work with Deakin researchers and Cisco researchers; it is planned that this will involve a funded internship in the Cisco Quantum Lab (for up to 6 months).
Torrens University AustraliaUltimo Campus (Sydney)Similar Jobs
Closing: 23-Jun-2024
Expired
Job Summary
Dates
Posted 10 Days Ago
Responsibilities
The role is primarily responsible for preparing, delivering, facilitating, and assessing subjects and to ensure students are provided with the best opportunity to attain learning outcomes and satisfactorily complete their assessment tasks.
An Associate Professor at Torrens is expected to make outstanding contributions to the University through teaching, research, scholarship, external engagement and academic leadership.
An Associate Professor has the responsibility to provide disciplinary leadership through scholarship, curriculum development, academic development, and the facilitation of excellent teaching and learning practice and development.
They can be called upon to stimulate and provide strategic advice on critical issues and areas of decision making to lead, drive and support change for our institution’s future and the future of the communities we serve.
They shall respect and advocate for their responsibilities as they work individually and collectively to develop a positive and constructive institutional professorial culture through engagement and exposure to awareness and reflection opportunities.
They will also work to inculcate a culture of excellence in teaching, research, and leadership.
An Associate Professor is pivotal in contributing to the development of research and research output and in developing Early Career Researchers (ECR’s) and Mid-Career Researchers (MCR’s) to ensure and enable academic development.
It is expected that the position must contribute to the institution through industry/professional engagement and mentoring or leading other Academic employees.
Additional responsibilities may include leading specialist academic projects that contribute more broadly to developing an academic culture focused on excellence.
Where required, it is expected from the position to be actively involved in the institutional processes relating to academic administration, management, and governance. At this stage, there is no leadership responsibility attached to the position (but there will likely be down the track).
Requirements
A Phd along with a high-quality track record in research in HCI or human-centred computing
Demonstrated knowledge of specific subject areas combined with a broad disciplinary background enabling contributions to teaching.
A strong track record of high-quality teaching
Demonstrated ability to work collaboratively in a team environment and commitment to continuous professional development
Demonstrated ability to work competently and harmoniously with colleagues and students of all cultures and backgrounds
Demonstration of mentoring junior academic staff
Evidence of external research income either with industry, government bodies or through other competitive grants
Understanding of academic governance and quality assurance at a subject and course level
Benefits
Flexible work arrangements
Opportunities for professional development and career progression
Support for personal passions, development, and wellbeing
Positive workplace environment that fosters a global, entrepreneurial mindset
Belonging to a team of researchers making a difference to society
Building on an academic culture connected to industry and community
Opportunities to innovate across teaching and research
Access to internal opportunities that promote professional growth
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.
The University of QueenslandSt Lucia CampusSimilar Jobs
Closing: 03-Sep-2024
Expired
Job Summary
Dates
Opening Date: Not Available
Closing Date: 03-Sep-2024
Location
St Lucia Campus
Salary
The full-time equivalent base salary will be in the range $78,871.35 - $105,004.02, plus a generous super allowance of up to 17%. The total FTE package will be up to $92,279.48 - $122,854.70 annually.
Responsibilities
Assist in the development of new programs and course material in computer science, software engineering and associated topics, by consulting with program advisors and stakeholders, ensuring courses are engaging, relevant and contemporary.
Teach across different settings and collaborate on educational practice and innovative curriculum design including online learning and alternative teaching methods.
Undertake teaching, including collaboration on course coordination, lecturing, tutoring, consultation and the preparation of teaching and assessment materials and marking for undergraduate and postgraduate levels.
Maintain and improve the quality of courses as measured through evaluation instruments to meet industry and educational standards.
Undertake a range of activities which contribute to maintaining currency within the discipline.
Strengthen student engagement and student experience through collaboration and the provision of high-quality service to students, including academic consultation, counselling and advice.
Gather evidence of teaching effectiveness to improve the quality of courses and teaching and engage in professional development to enhance teaching effectiveness.
Understand and apply University rules relevant to teaching and learning practice.
Consistently undertake activities that develop a knowledge base of effective discipline-specific pedagogical practices.
Work with colleagues in the development of quality projects which explore, test, implement and communicate new or improved approaches towards pedagogical practices.
Participate in applications for internal and external funding to support projects and activities promoting improved pedagogies.
Contribute to educational partnerships with peers and/or students and/or external partners that result in quality outputs.
Develop an emerging profile in teaching and the scholarship of teaching and learning.
Demonstrate and promote UQ values.
Shows leadership of self through collaboration and active participation in priority activities for the Faculty.
Contribute to educational mentorship and development of teachers.
In collaboration with the EAIT Associate Dean (External Engagement) and EAIT Manager, International Engagement develop and maintain external links by cultivating relationships with high schools and EAIT international partners.
In collaboration with the EAIT Associate Dean (External Engagement) and EAIT Manager, International Engagement determine priority international partners.
In collaboration with the EAIT Associate Dean (Academic) and the EAIT Manager, International engagement develop relevant academic strategies and programs to improve student experiences outcomes with these institutions.
In collaboration with the EAIT Associate Dean (Academic) monitor international articulation students’ academic progression.
Attend and assist pre-departure, international student orientation, farewell, and deliver events for incoming EAIT cohort students; monitor the need for further ongoing support.
International travel and other related duties as required.
Any other duties as reasonably directed by your supervisor.
Requirements
Completion (or near completion) of a PhD in computer science, computer engineering or a cognate discipline, or equivalent combination of relevant experience and/or education/training.
Demonstrated knowledge of computer science or computer engineering education and curriculum design.
Demonstrated ability to coordinate and teach undergraduate classes in a variety of settings, including small and large groups, studio-based teaching and individual project supervision.
Skills in all aspects of teaching practice, including course design.
Well-developed communication, interpersonal and consultative skills, and the ability to work collaboratively with colleagues from a multidisciplinary background.
Ability to work with culturally diverse student cohorts.
A profile of professional expertise that complements and/or supplements the expertise that currently exists within the School and the broader University.
Work Rights: Visa sponsorship may be available for this appointment.
Mandatory Immunisations: It is a condition of employment for this role that you will be required to provide evidence of immunisation against certain vaccine preventable diseases.
Background Checks: All final applicants for this position may be asked to consent to a criminal record check.
Benefits
Being part of a Group of Eight university.
Recognition of prior service with other Australian universities.
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
If you are relocating from interstate or overseas, UQ will support you with the visa sponsorship process and a relocation support package.
For more information, contact Professor Aleksandar Rakic via email or for application queries, contact talent@uq.edu.au stating the job reference number in the subject line.
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.