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.
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
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.
Conduct original research to advance gene annotations, characterise gene functions, and decipher regulatory mechanisms in almond and mango crops.
Collaborate with breeders and academic institutions to develop molecular markers and precision breeding techniques.
Communicate research findings at scientific meetings and publish in high-impact journals.
Provide research updates to funders, breeders, growers, and other stakeholders.
Contribute to teaching and co-supervise students.
Requirements
Ph.D. degree or equivalent professional experience in a research field related to molecular plant molecular biology, genetics, genomics and/or biochemistry.
Expertise in plant genomics, genetic manipulation, molecular biology, cellular biochemistry, tissue culture, and bioinformatics.
Skilled in metabolome, transcriptome, methylome, and epigenomic analyses metabolite extractions to statistical and graphic data output.
Adept at managing data and ensuring reproducible research with strong statistical foundations.
Ability to prepare milestone reports and write manuscripts for publication.
Benefits
Tailored career mentoring plan.
Opportunity to contribute to teaching.
Travel to other locations for research collaboration.
Notes
You must provide evidence of your full-time working rights in Australia at time of application.
Only applications submitted via the WSU online recruitment system will be accepted.
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.
The University of MelbourneParkville, Victoria, AustraliaSimilar Jobs
Closing: 11-Oct-2024
Expired
Job Summary
Dates
Opening Date: 30-Aug-2024
Closing Date: 11-Oct-2024
Location
Parkville, Victoria, Australia
Salary
Level A – $83,468- $113,262 p.a. (PhD entry Level A.6 - $105,518 p.a.) plus 17% super
Responsibilities
Independently planning and carrying out research on the research project and working towards completion of the aims of the project, including mathematical modelling and some experimental work.
Developing effective timelines and milestones based on goals of the research program.
Liaising effectively with collaborators and a variety of internal and external stakeholders to foster collaborative partnerships and working with teams to achieve joint outputs and outcomes.
Preparing and publishing research outcomes in conferences and journals and other scholarly outputs to a high academic standard in accordance with the research expectations of the University of Melbourne.
Contributing to the research group and assisting in co-supervision of PhD and masters project students.
Requirements
A postgraduate research degree at PhD level (or near completion) or Higher Education qualification in a field relevant to the position described above, specifically in chemical or biochemical engineering, mathematical process modelling or bioreactor modelling for mammalian cell culture.
A sound understanding of the fundamentals of engineering including fluid flow, heat and mass transfer, process control and mathematical model development.
A high proficiency in mathematics, preferably related to models.
An understanding of bioprocessing and cell culture.
A record of high-quality research as evidenced by publications in leading journals and at conferences commensurate with opportunity.
Ability to perform independent research with a commitment to interdisciplinary research.
Ability to work with industry partners to achieve applied outcomes and to work with others across the sector to achieve industry impact and sector transformation.
Benefits
Salary packaging
Subsidised health and wellbeing services
Fitness and cultural clubs
Myki discounts
25% discount on graduate courses for staff and their immediate families
Generous leave provisions
Notes
This role requires that the successful candidate must undergo and maintain an up-to-date Working with Children Check.
Visa sponsorship is not available for this position; current valid work rights for Australia are required.