商业澳洲 文章 澳大利亚昆士兰大学ARC信息复原力培训中心博士后

澳大利亚昆士兰大学ARC信息复原力培训中心博士后


 

 

 

【知识人网-国外博士后招聘】澳大利亚昆士兰大学ARC信息复原力培训中心博士后

昆士兰大学(The University of Queensland),简称“昆大”“UQ”,世界高等科研学府。始建于1910年,是昆士兰州第一所综合型大学,同时还是六所砂岩学府之一,环太平洋大学联盟、澳大利亚八校联盟、UNIVERSITAS 21、国际铁路联盟及新工科教育国际联盟等组织成员。

Postdoctoral Research Fellow – ARC Training Centre For Information Resilience

University Of Queensland

Description

School of Information Technology and Electrical Engineering

Academic Level A

Full time, Fixed-term position for up to 2 years

Applications Close Monday 9th January 2023 at 11.00pm AEST (R-18351)

About This Opportunity

This is an exciting opportunity for a Postdoctoral Research Fellow to contribute to innovative research developments within the scope of responsible use of data and Artificial Intelligence. This position will be based in the Australian Research Council (ARC) Industrial Transformation Training Centre for Information Resilience (CIRES) working across multiple projects with industry and government partners, providing a wealth of experience in multi- disciplinary teams, research planning, and industry and public sector dynamics. The successful candidate will have the opportunity to work directly with the Centre's partners, with an expected third of their time dedicated to working with partner organisations.

This position will involve working closely with Associate Professor Hassan Khosravi, and other centre researchers working on topics related to responsible use of data

ARC Training Centre for Information Resilience (CIRES)

As an ARC Training Centre, CIRES is fostering close partnerships between university-based researchers and other research end-users to provide innovative PhD and Postdoctoral training, building a workforce for research industries that are vital to Australia's future. The Centre is a collaboration with Swinburne University of Technology in Melbourne, and industry and government partners: the Queensland Police Service, Queensland Health, the Department of Education Queensland, Health & Wellbeing Queensland, Aginic, Astral Consulting, Allianz Partners, and Max Kelsen. The Centre commenced in July 2021 and will run for 5 years, and Centre researchers will be embedded in projects working collaboratively with our partners on real-world problems and solutions in industry and government.

Key responsibilities include:

1. Research

Conduct innovative and reproducible research related to information resilience, with a focus on responsible use of data and AI. One priority application area will be education.

Disseminate results through high-quality publications or industry reports.

Participate in regular meetings to discuss project objectives, methodology and outcomes.

Participate in interactions and liaisons with research and industry collaborators.

2. Supervision and Researcher Development

Contribute to the effective supervision of research students (PhD, MPhil, Honours) as appropriate.

Demonstrate personal effectiveness in supervision and the management of researcher development.

Effectively lead and develop supervisee performance and conduct by providing feedback, coaching, and professional development.

As appropriate, manage research support staff effectively throughout the employee lifecycle in accordance with University policy and procedures.

Work to promptly resolve conflict and grievances when they arise in accordance with University policy and procedures.

3. Citizenship and Service

Demonstrate citizenship behaviours that align to the UQ values.

Show leadership of self through collaboration and active participation in priority activities for the unit.

Provide support to other academic positions and unit operations as needed during other team members absences.

Contribute to internal service roles and administrative processes as required, including participation in decision-making and service on relevant committees.

Collaborate in service activities external to the immediate organisation unit.

Begin to develop external links and partnerships by cultivating relationships with industry, government departments, professional bodies, and the wider community.

Any other duties as reasonably directed by the supervisor.

4. Other

Ensure you are aware of and comply with legislation and University policy relevant to the duties undertaken, including but not exclusive to:

The University's Code of Conduct.

Requirements of the Queensland occupational health and safety (OH&S) legislation and related OH &S responsibilities and procedures developed by the University or Institute/School.

The adoption of sustainable practices in all work activities and compliance with associated legislation and related University sustainability responsibilities and procedures.

Requirements of the Education Services for Overseas Students Act 2000, the National Code 2007 and associated legislation, and related responsibilities and procedures developed by the University.

About You

Essential

Completion or near completion of a PhD in Computer Science or Information Technology fields.

Demonstrated expert knowledge and experience in developing AI and machine learning methods.

Experience in conducting research projects (qualitative or quantitative), demonstrating high-level written and oral communication skills.

A track record of peer-reviewed publications in high-impact journals or premiere conferences relevant to responsible use of data and AI.

Ability to work both independently and as a member of a cross-disciplinary research team.

Experience in supervising research students (e.g., PhD, Mphil, Honours).

Desirable

Experience in conducting controlled experiments.

Experience in researching educational topics.

What We Can Offer

This is a Full-time , 100 % FTE Fixed-term position from 15 February 2023 to 14 February 2025 at Academic Level A.

The full-time equivalent base salary will be in the range $87,006.34 – $96,530.67 plus super of up to 17 %. The total FTE package will be in the range $101,797.42 – $112,940.88 per annum.

The following flexible employment options may be available for this role:some working from home; variable start or finish times; compressed hours.

For further information about UQ's benefits, please visit Why Work at UQ and review The University of Queensland's Enterprise Bargaining Agreement 2018-2021.

Questions?

To discuss this role please contact Professor ShaziaSadiq shazia@itee.uq.edu.au

For application queries, please contact recruitment@uq.edu.au stating the job reference number in the subject line.

Want to Apply?

All applicants must supply the following documents:

Cover letter addressing the About You Section

Resume

To satisfy pre-requisite questions and ensure your application can be considered in full, all candidates must apply via the UQ Careers portal by the job closing deadline. Applications received via other channels, including direct email, will not be accepted.

About The Selection Process

The University of Queensland is committed to ensuring all candidates are provided with the opportunity to attend the panel interviews, however, for those candidates who are unable to attend in person, video interview options will be available.

Other Information

Sponsorship: Visa sponsorship may be available for this appointment.

Background Checks : All final applicants for this position may be asked to consent to a criminal record check. Please note that people with criminal records are not automatically barred from applying for this position. Each application will be considered on its merits.

We value diversity and inclusion, and actively encourage applications from those who bring diversity to the University. Our Diversity and Inclusion webpage contains further information if you require additional support. Accessibility requirements and/or adjustments can be directed to recruitment@uq.edu.au.

准备申请国外博士后的各位老师注意了!知识人网(www.zsr.cc)小编每周定时更新最新的国内外博士后招聘信息以及访问学者、博士后资讯,感谢大家的关注!


 

 

原文链接:https://blog.csdn.net/zsr_cc/article/details/127557510?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522169900313816800182720168%2522%252C%2522scm%2522%253A%252220140713.130102334.pc%255Fblog.%2522%257D&request_id=169900313816800182720168&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~blog~first_rank_ecpm_v1~times_rank-15-127557510-null-null.nonecase&utm_term=%E6%BE%B3%E6%B4%B22023

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