Deakin UniversityMelbourne - Burwood, AustraliaSimilar Jobs
Closing: 24-Oct-2024
Expired
Job Summary
Dates
Opening Date: 10-Oct-2024
Closing Date: 24-Oct-2024
Location
Melbourne - Burwood, Australia
Salary
Level B $108,804 - $128,689 + 17% Superannuation (pro rata, part time)
Responsibilities
Lead unit teaching teams and work collaboratively with other unit teaching teams in the course to develop effective unit curricula and learning resources.
Assist in applying industry, clinical and/or research practice into student learning experiences, success, engagement and resources.
Adopt innovation in curriculum design at the unit level and deliver learner-centric, research-informed teaching practices across different levels / modes of delivery.
Support, and may lead, applications for research and creative activities, including applications for external competitive funding, external funding for commercialization and translation activities and other funding demonstrating sustained efforts.
Build a national reputation, based on a growing, focused body of work recognised for quality, excellence and impact and a growing track record of timely delivery of outcomes for industry partners.
Requirements
PhD in a relevant discipline and/or other relevant qualifications and experience.
Excellent record of scholarly learning and teaching in UG and/or PG programs, including innovative curriculum design.
Emerging reputation in research and scholarship through publications and/or exhibitions and/or success in obtaining external research funding.
Ability to contribute to communities through research.
Capacity to contribute to leadership of research and administration.
Benefits
Dynamic and diverse working environment with opportunities to grow and develop careers.
Commitment to making a positive impact through excellence in education, research and innovation.
Support and encouragement for applications from diverse backgrounds.
Notes
For a confidential discussion regarding this role, please contact hos-it@deakin.edu.au.
For a copy of the position description, please see below: PD - Lecturer, Information Technology 564084.pdf.
University of Southern QueenslandNot AvailableSimilar Jobs
Closing: 18-Nov-2024
Job Summary
Dates
Opening Date: Not Available
Closing Date: 18-Nov-2024
Location
Not Available
Salary
Total remuneration range $128,506 to $151,889 pa (includes salary range of $108,581 to $128,339 pa based on full-time equivalent, employer superannuation contributions up to 17% of salary and annual leave loading)
Responsibilities
Collaborate with the Computing and Information Technology team to develop, deliver, and update courses in Games Development, Software Applications, Cloud Computing, Networking, and Cyber Security.
Promote and market computing-related programs.
Undertake high-quality Computational research in Networking and Security, Software Applications and Cloud Development, and other priority research areas.
Supervise HDR and/or research project students and capstone projects.
Requirements
Doctorate in Computing or closely related discipline, or a Master's degree with significant senior experience in IT services delivery.
Ability to develop and deliver high-quality teaching in Networking and Security, Software Applications, and Cloud Computing.
Recent and high-quality research contributions in Computer Science and IT areas.
Experience in publication in high-quality journals, competitive research grant funding, and successful HDR supervision.
Benefits
Not Available
Notes
Contact Professor Robert Sang, Head of School and Dean (Mathematics, Physics and Computing) for further information.
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).
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
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
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
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 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)
Swinburne University of TechnologyHawthorn campusSimilar Jobs
Closing: 15-Sep-2024
Expired
Job Summary
Dates
15-Sep-2024 - Closing Date
Responsibilities
The primary responsibility of the incumbent will be to develop innovative and more accurate methods for characterizing strongly correlated polaritons. Polaritons, described as quantum fluids of light, exhibit unique quantum behavior such as superfluidity, showcasing frictionless, zero-energy-cost flows. The project aims to advance our understanding of polaritons in the strongly interacting regime, particularly far from equilibrium, with the ultimate goal of realizing a superfluid of light at room temperature. By contributing to this project, the successful candidate will play a crucial role in establishing Australia as a global leader in the commercialization of innovative photonic technologies.
In addition to conducting independent research activities with limited supervision, the Postdoctoral Research Fellow will also be involved in supervising students, preparing research results for publication, and presenting findings at conferences.
Requirements
Solid theoretical background in ultracold quantum gases and condensed matter physics
Demonstrated publication track record in peer-reviewed journals
Early Career Researcher (i.e., awarded a PhD within five years)
Demonstrated experience in superfluidity and/or superconductivity
Demonstrated experience in large-scale numerical simulations
An earned doctoral qualification in Theoretical Condensed Matter Physics or Quantum Physics
Benefits
Full-time position for up to two years
Working alongside Prof. Xia-Ji Liu at the Centre for Quantum Technology Theory (CQTT)
Project funded by the Australian Research Council
Opportunity to contribute to groundbreaking research in the field of quantum technology
Notes
This full-time position will be available for up to two years.
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
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 New South Wales (UNSW Sydney)Sydney, NSWSimilar Jobs
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.