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Closing: 31-Jul-2024
Expired
Job Summary
Dates
- Opening date: not available
- Closing date: 31-Jul-2024
Responsibilities
- Develop new AI algorithms tailored for predicting material behaviours based on material parameters and real operating conditions.
Requirements
- Meet Swinburne PhD admissions requirements.
- Meet University language requirements.
- Must be domestic students.
- Be able to commence the program in the year of the offer.
- Enrol as a full-time PhD student.
- Have previous study in an appropriate area of Robotics & Mechatronics Engineering and/or Computer Science.
Benefits
- Stipend $41,650.00 (p.a.) for 3.5 years
Notes
- This position is currently located at the Hawthorn campus.
- The incumbent must be willing to travel between and work at a range of locations.
- Applicants must be domestic students as per the Higher Education Support Act at the time of award. Domestic students include: Australian citizens, Australian permanent residents, a person entitled to stay in Australia, or to enter and stay in Australia, without any limitation as to time; or a New Zealand citizen.
- Appointment to this position is subject to passing a Working with Children Check.
- Swinburne offers flexible working options, leave and parenting/carer policies to support work life balance.
- We welcome and encourage applicants from diverse backgrounds to apply.
- We are committed to making the recruitment process fair and equitable for all our candidates.
- We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.
- Swinburne seeks to remove barriers to international graduate employment. We welcome and encourage applications from international graduates.
Research Associate / Postdoctoral Fellow - ARC Centre for Next-Gen Architectural Manufacturing
The University of New South Wales (UNSW Sydney)
Kensington Campus, NSW Australia (Hybrid working from home and on campus)
Similar Jobs
Closing: 28-Oct-2024
Expired
Job Summary
Dates
- Opening Date: 19-Sep-2024
- Closing Date: 28-Oct-2024
Location
- Kensington Campus, NSW Australia (Hybrid working from home and on campus)
Salary
- Level A between $88,290 - $117,718 (plus 17% superannuation and leave loading)
Responsibilities
- Contribute both independently and as a team member in collaborative Arch_Manu research with a focus to enhance the quality of the Centre’s research outcomes.
- Conduct research (as per the norms of the discipline) and/or provide research support to Arch_Manu research teams to create scholarly output that is recognised by peers.
- Conduct research while embedded within industry partner offices for defined periods of time.
- Prepare Human Research Ethics applications.
- Undertake discipline-appropriate research activities, e.g. surveys, literature reviews, data gathering and/or recording of results using appropriate research methods.
- Support the dissemination of Arch_Manu research outcomes through appropriate channels and outlets, such as Q1 journals and the development of reports, white papers and training content for industry.
Requirements
- A doctoral qualification in a relevant discipline (business, architecture, design, engineering, computer science), with a preference for candidates knowledgeable of business and/or management research and relevant work experience.
- Proven commitment to proactively keeping up to date with disciplinary knowledge and industry developments.
- Demonstrated ability to undertake high quality academic research and conduct independent research in collaboration with industry partners, with limited supervision.
- Demonstrated experience in data collection methods, analysis, and report writing skills.
- Demonstrated track record of publications and conference presentations relative to opportunity.
- Evidence of high-level interpersonal skills, including excellent written, oral communication and presentation skills.
Benefits
- Flexible Working Options (work from home, flexible hours etc)
- Career development opportunities
- 17% Superannuation contributions and additional leave loading payments
- Additional 3 days of leave over Christmas period
- Discounts and entitlements (retail, education, fitness)
Notes
- Please note, this position is based in Sydney, Australia.
- To view the comprehensive list of the responsibilities and the skills and experience please refer to the position description. A copy of the position description can be found below the job advert on JOBS@UNSW.