Dates
- Until 31-Dec-2027
Responsibilities
- Work in the intersection of Artificial Intelligence and Robotics
- Work closely with industry and researchers from the ANU and University of Sydney ACFR in a collaborative manner
- Work collaboratively under a collaborative project involving 3 universities and over 12 industry partners
Requirements
- Applications are particularly invited from researchers who undertake high impact collaborative research on AI Planning / Machine Learning, with applications on Robotics
Benefits
- Attractive benefits and excellent support to maintain a healthy work/life balance
- Generous remuneration benefits
- Four weeks paid vacation per year
- Assistance with relocation expenses
- 17% employer contribution to superannuation
Notes
- Position is a fixed term for a period of up to 3 years
- Longer term and/or ongoing appointment may be offered in exceptional cases subject to performance and budget availability
- Enquiries can be made to Hanna Kurniawati via email hanna.kurniawati@anu.edu.au
- ANU actively seeks a gender mix of shortlisted candidates for interview
- ANU is committed to building a diverse and inclusive community
Dates
- missing
Responsibilities
- A casual Research Assistant (no doctoral degree required) is sought to provide assistance for a day a week to support on activities such as the undertaking of literature reviews and development of case studies to inform development of the larger project.
- Undertake, with support from the Chief Investigator/Dr Bolton, a review of the literature to help establish a base-line classification scheme of current and emerging uses of AI for sustainable development policy challenges.
- Review of the literature to establish or validate an AI tool classification scheme.
- Review of the literature to establish a public problem classification scheme.
Requirements
- Undertake literature reviews of both peer and grey literature
- Use referencing software (e.g. Endnote, Zotero, Mendeley)
- Work autonomously after being given direction
- Objectively summarise large volumes of information clearly and concisely
- Communicate findings, concerns, and ideas
- Identify problems as they arise, and ideas for solving them
Benefits
- missing
Notes
- Job No: 666172
- Duration: 16-weeks with potential for a short extension
- Join our inclusive, collaborative community
- Be surrounded by extraordinary ideas - and the people who discover them
- Background: This work is in support of a proposed larger project investigating the potential of Artificial Intelligence (AI) to improve public decision-making for sustainable development.
Lecturer, Information Technology (Java/Web Programming and AI/Data Science)
RMIT University Ho Chi Minh CityDates
- Posted 3 Days Ago
Responsibilities
- Contribute to teaching and research efforts in disciplines related to field of expertise
- Carry out teaching activities within undergraduate, Masters, and Graduate Diploma programs
- Maintain and advance scholarly, research, and/or professional capabilities
- Promote the program by establishing and maintaining memberships, links, and partnerships with academic, industry, and professional communities
- Work collaboratively with fellow academics within the teaching team
- Update colleagues and students on developments in subject area or specialization
Requirements
- PhD or equivalent relevant Doctoral qualification in Computer Science, Information Technology, Software Engineering, or relevant disciplines
- Minimum 3 years of teaching experience in English-speaking universities
- Proven teaching proficiency and curriculum development in Artificial Intelligence, Data Science, Java, and Web Programming
- Ability to prepare and deliver programs at undergraduate level, including online delivery
- Recognized research profile with substantial record of research outputs in high quality journals
- Ability to work effectively with students and negotiate sensitively on issues related to effective learning
- English proficiency with IELTS score of at least 7.0
Benefits
- Competitive salary package and allowances
- Generous relocation allowance for expatriate candidates
- Educational support for children
- Private insurance coverage for staff and family
- Annual health checkup
- Professional development and career advancement
- Access to state-of-the-art facilities and resources
- Vibrant and diverse campus life
Notes
- RMIT University Commitment to student and staff safety and respect
- RMIT Vietnam's commitment to excellence, innovation, and social responsibility
- Generous annual leave, career leave, and public holidays
- HR Asia Award as Top Employer To Work For in Asia
Senior Lecturer, Information Technology (Java/Web Programming and AI/Data Science)
RMIT University HanoiDates
- Posted 3 Days Ago
Responsibilities
- Contribute to teaching and research efforts in disciplines related to field of expertise
- Carry out teaching activities within undergraduate, Masters, and Graduate Diploma programs
- Maintain and advance scholarly, research, and/or professional capabilities
- Promote the program by establishing and maintaining memberships, links, and partnerships with academic, industry, and professional communities
- Work collaboratively with fellow academics within the teaching team
- Update colleagues and students on developments in subject area or specialization
Requirements
- PhD or equivalent relevant Doctoral qualification in Computer Science, Information Technology, Software Engineering, or relevant disciplines
- Minimum 3 years of teaching experience in English-speaking universities
- Proven teaching proficiency and curriculum development in Artificial Intelligence, Data Science, Java, and Web Programming
- Ability to prepare and deliver programs at undergraduate level, including online delivery
- Recognized research profile with substantial record of research outputs in high quality journals
- Ability to work with external partners, industries, organizations, and communities
Benefits
- Competitive salary package and allowances
- Generous relocation allowance for expatriate candidates
- Educational support for children
- Private insurance coverage for staff and family
- Annual health checkup
- Professional development and career advancement
- Access to state-of-the-art facilities and resources
- Generous annual leave, career leave, and public holidays
- Vibrant and diverse campus life
Notes
- English proficiency requirement: IELTS (Academic) with a score of at least 7.0 with no competency less than 6.5
- All foreign employees must adhere to the requirements for obtaining a valid visa and work permit in Vietnam
Dates
- 3rd July - 2023
Responsibilities
- Conduct research aligned with the goals of the Centre/Institute to advance knowledge and achieve research objectives.
- Develop a strong publication record by publishing research findings in reputable international journals and conferences. Additionally, actively seek competitive funding opportunities for research projects.
- Specialise in fine-grain visual classification in agriculture, encompassing fundamental theories, new approaches, algorithms, technical investigations, system implementations, and experiments for research projects.
- Collaborate with team members on research projects, contributing to their development and preparation. Foster a collaborative research environment.
- Engage in teaching activities as required and provide mentorship and supervision to research higher degree students. Help nurture the next generation of researchers.
Requirements
- PhD in computer science, engineering, applied mathematics, or a related field.
- Proven track record in conducting research, including publications in esteemed journals and conferences such as IEEE TPAMI, IEEE TIP, PR, CVPR, ICCV, IJCAI, AAAI.
Benefits
- Mix of on campus and work from home options available and a supportive work environment.
- Salary packaging options and corporate health discounts.
- Generous leave entitlements including paid parental leave and leave loading.
Notes
- This is a fixed term (2 years), full time position.
- The successful candidate will be appointed at either Grade 1 or 2 depending on experience, skills, and qualifications.
Extras
- Griffith University values diversity, inclusion, and flexibility. Aboriginal and Torres Strait Islander, and people of all backgrounds are encouraged to apply.
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PhD Scholarship (Next Generation Graduates Program): AI-empowered Manufacturing Technologies for Screening Digital Twin
Swinburne University of TechnologyDates
- 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.
Lecturer / Senior Lecturer in Computer Science and Engineering
The University of New South Wales (UNSW Sydney)
Dates
- Opening Date: 22-Aug-2024
- Closing Date: 30-Nov-2024
Responsibilities
- Teaching undergraduate and postgraduate courses
- Conducting independent research
- Delivering excellent teaching
- Initiating development of experimental approaches to teaching and learning
- Supporting learning progression of students
- Managing course administration
- Maintaining professional development
- Engaging in individual and collaborative research
- Creating scholarly impact
- Contributing to the development of grant applications
- Mentoring and guiding students and colleagues
Requirements
- PhD in a related discipline
- Relevant work experience
- Commitment to keeping up-to-date with discipline knowledge
- Experience in teaching and learning design and delivery
- Knowledge of industry or work-integrated learning
- Track record in research with high-quality outcomes
- High-level communication and networking skills
- Ability to work in a team
- Understanding and commitment to organizational values and policies
- Knowledge of health and safety responsibilities
Benefits
- Flexible work options
- 26 weeks of fully paid maternity or primary carers leave
- Support services for research, teaching, and career development
Notes
- Applications must be submitted online
- Encouragement to apply even if experience does not align 100%
- Inclusion and diversity commitment
- University reserves the right not to proceed with any appointment
Dates
- Opening Date: Not Available
- Closing Date: 29-Sep-2024
Responsibilities
- Develop, design, and deliver innovative and engaging teaching materials for tutorials, demonstrations, and workshops.
- Inspire and educate students with a creative approach to teaching.
- Conduct meaningful research and share insights through publications and presentations.
- Engage with the academic community and build lasting relationships.
- Collaborate with colleagues and contribute to the School's goals.
Requirements
- Engaged as a casual academic for at least 2 teaching sessions within the previous 2 years at an Australian Higher Education institution.
- Hold or have submitted all requirements for a PhD or other relevant Level 10 AQF qualification.
- Have not previously held an ongoing position with an Australian Higher Education provider in the previous 3 years.
- Submit evidence of teaching results, such as Student Feedback on Teaching survey outcomes.
Benefits
- Opportunity to be part of a sector-leading program that strengthens career pathways for casual academic staff.
- Professional development and training over the confirmation period to support stable, ongoing employment.
- Join a dynamic academic community with opportunities for collaboration and research.
Notes
- Interviews are likely to be scheduled between Monday 21st and Thursday 24th October 2024.
- Working Rights in Australia - Eligibility is required at the time of application.
- Use the attached CV/Resume template with your application.
Dates
- Opening Date: 13-Sep-2024
- Closing Date: 14-Oct-2024
Location
- St Lucia Campus
Salary
- Academic level B will be in the range $110,365.29 - $130,765.78 + 17% Superannuation. Academic level C will be in the range $134,845.87 - $155,246.38 + 17% Superannuation.
Responsibilities
- Contribute to the effective development and delivery of programs and courses in mechanical engineering offered in the School.
- Coordinate courses, prepare and deliver lectures, tutorials, and practicals, and undertake assessment and marking for undergraduate and postgraduate coursework courses.
- Maintain and improve the quality of courses as measured through university evaluation instruments to meet industry and educational standards.
- Provide high quality service to students, including academic advice adhering to University Policy relevant to teaching and learning practices.
- Work with colleagues and HDR students in the development and conduct of joint research projects and applications for competitive research funding support.
- Contribute as chief investigator role in applications for external research funding, which includes actively seeking, obtaining, and managing research funding.
- Maintain an active and effective record of publishing in high quality national research journals, other appropriate refereed publications, and conference publications.
- Review and draw upon best practice research methodologies.
- Prepare research publications and progress reports and participate in regular meetings to discuss project objectives, methodology and outcomes.
- Contribute to the supervision of Honours and Higher Degree by Research students, and oversee recruitment, selection, and onboarding of qualified employees in line with University policies.
- Manage employee performance by providing coaching, feedback, and training, while promptly addressing conflicts and grievances according to University procedures.
- Ensure accurate remuneration and benefits for employees, coordinating with Human Resources when changes occur.
- Actively develop partnerships with colleagues, industry, government departments, professional bodies, and the wider community.
- Exhibit leadership through mentoring, collaboration, and efficient management of internal service roles and decision-making processes.
Requirements
- PhD in mechanical engineering and a record of research in mechanical engineering.
- A growing profile in teaching and research in the field.
- A developing reputation and track record of publications in reputed refereed journals and presenting at conferences.
- Evidence of successfully seeking, obtaining, and managing external research funding.
- Evidence of a high level of quality teaching at undergraduate and postgraduate level across a variety of settings, including small and large groups.
- Experience in course coordination and contribution to the development and continuous innovation of new programs, curriculum design and course material in the discipline area.
- A growing record of supervision of undergraduate, postgraduate coursework, and HDR students to successful completion.
- Experience in meaningful internal service roles in conjunction with active contributions to external activities.
Benefits
- Access to world-class facilities and equipment.
- Grant writing support and 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 and flexible start/finish times.
- Genuine career progression opportunities via the academic promotions process.
Notes
- Visa sponsorship may be available for this appointment.
- Relocation support package available for those relocating from interstate or overseas.
Dates
- Opening Date: Not Available
- Closing Date: 21-Oct-2024
Location
- Clayton campus
Salary
- $114,951 - $136,505 pa Level B / $140,812 - $162,366 pa Level C (plus 17% employer superannuation)
Responsibilities
- Play a key role in teaching and research in Imaging Physics and Artificial Intelligence within medical imaging.
- Collaborate with academics and researchers in the Department to enhance research capacity.
- Lead innovative research in medical imaging and radiation sciences, driving advancements in biomedical imaging technologies.
- Supervise PhD, honours and postgraduate students, fostering their growth and supporting them in conducting ground-breaking research.
- Contribute to educational innovation by shaping curriculum design and ensuring that the program stays at the forefront of industry and academic developments.
Requirements
- Doctoral degree in a relevant field.
- Demonstrated record of teaching medical imaging, imaging physics or artificial intelligence.
- Strong ability to engage with students, staff and external stakeholders.
- Successful track record of research funding and high-quality peer-reviewed publications.
Benefits
- Access to quality research facilities and infrastructure.
- World-class teaching spaces and international collaboration opportunities.
- Flexible and hybrid working arrangements.
- Support for parents and personal commitments.
Notes
- Please state your preference for Level B or Level C in your cover letter as the successful applicant will be appointed commensurate with qualifications and relevant experience.
- Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role.
Research Associate/Post-Doctoral Research Fellow – City Futures Research Centre
The University of New South Wales (UNSW Sydney) Kensington, NSW, Australia
Dates
- Opening Date: 23-Sep-2024
- Closing Date: 07-Oct-2024
Location
- Kensington, NSW, Australia
Salary
- Level A: $88,290 - $117,718 (plus 17% superannuation and leave loading)
Responsibilities
- Collect, wrangle and process data from a variety of sources including open data repository, social media and sensitive data made available to the Housing Analytics Lab project.
- Develop and undertake data analytical techniques to understand new insights into city form and function using spatial data, open data, big data and thick data.
- Conduct oral presentations relating to the research.
- Provide peer review and editing support as a member of the research team and when requested by the Director.
Requirements
- PHD or experience in related discipline – data science, modelling and simulation, computer science, geomatics and/or actuarial.
- Expertise and skills in data analytical techniques including geoprocessing, spatial-statistics, big data analytics, spatial data mining and data visualisation.
- Experience in applying artificial intelligence, machine learning algorithms, national language processing and other data mining techniques to big (ideally city) data.
- Advanced computer programming skills in particularly using languages to work with big data including languages such as, python and R.
- To be successful you will hold Australian Working Rights or Australian Citizenship. Visa sponsorship is not available for this appointment.
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
- For questions related to the position please contact Persa Tzakis, Interim, Recruitment Manager at p.tzakis@unsw.edu.au.
- Applications will not be accepted if sent to the contact listed above.
- UNSW reserves the right not to proceed with any appointment.
Education-Focussed Academic - Nexus Program
The University of New South Wales (UNSW Sydney) Kensington UNSW Campus, Sydney, NSW
Dates
- Opening Date: 27-Sep-2024
- Closing Date: 18-Oct-2024
Location
- Kensington UNSW Campus, Sydney, NSW
Salary
- Level B ($123,620 to $145,730) or up to Level C Step 3 ($150,148 to $158,990) + 17% superannuation
Responsibilities
- Contribute to colleagues’ professional development in pedagogy, educational technology, emerging teaching practices and scholarly approaches to teaching through faculty and UNSW programs & initiatives
- Demonstrate leadership and positively influence educational culture and community across Faculties
- Undertake research related to teaching and learning, including in relation to SoTL
- Analyse and collate key research findings on learning and teaching for dissemination internally
- Contribute to the development of strategies, policies and procedures relating to learning and teaching
- Collaborate with colleagues and other Nexus Fellows in the faculties to implement new local and institution-wide initiatives that seek to improve learning & teaching
Requirements
- A PhD, ideally in a relevant discipline (but not essential – we welcome people coming from various PhD disciplines)
- Evidence of highly developed interpersonal and organisational skills, including the ability to influence others and drive change
- Demonstrated experience in teaching and learning design, academic excellence, development and delivery at undergraduate and/or postgraduate level
- Experience using artificial intelligence and/or designing learning or assessment activities in the context of artificial intelligence to enhance learning and student experience, with an emphasis on innovative assessment approaches
- Experience in assessment and/or feedback design and/or improvement
- Evidence of teaching effectiveness and a passion for educational excellence (e.g., relevant discipline- based curriculum design and development at a variety of levels and scales)
- Demonstrated capacity to contribute to the Scholarship of Teaching of Learning (SoTL). Ideally, you’ll have prior experience in writing/publishing in SoTL
- A current Work with Children Check
Benefits
- Access to up to 17% Superannuation contributions and additional leave loading payments
- Additional 3 days of leave over the end of the year period
- Discounts and entitlements (retail, education, fitness)
Notes
- The role operates Monday to Friday, business hours. Flexible working arrangements are available.
- Candidates will need to have full working rights – this role is not available for sponsorship.