Lecturer / Senior Lecturer in Forensic Mental Health Nursing

Swinburne University of Technology

Vacancy closed!

Unfortunately this vacancy is no longer open. Please contact a member of staff if you require assistance.

Location
Hawthorn
Reference #
1998_11/19_RTR
Closing Date
05-01-2020
Sector(s)

Education & Training

Salary
Academic Level B $96,808 - $114,612 or Level C $118,172 - $135,979
Vacancy Type
Permanent
Work type
Part-Time

About the Job
As the Lecturer or Senior Lecturer in Forensic Mental Health Nursing, you will play a key role in driving research activity and output in our leading Centre for Forensic Behavioural Science. You will teach into postgraduate Forensic Behavioural Science units and provide supervisory support to PhD students.

Your role will be integral to supporting initiatives and research projects within the Centre. You will identify and pursue joint research opportunities and publish research findings in international refereed journals, working collaboratively to elevate the Centre’s profile within the area of Forensic Mental Health Nursing.

This is an ongoing position offering part-time hours at a fraction of 0.6.

About Swinburne University of Technology
Swinburne is a multi-sector university of science, technology and innovation with more than 54,000 students and 5,000 staff globally. We offer postgraduate, undergraduate, vocational education and online education to provide students with a variety of work-relevant pathways. Our mission is to be a world-class university, creating economic and social impact through science, technology and innovation. We aim to deliver future-ready learners, research with impact and innovative enterprise.

Be the innovator in the face of technological and social change with Swinburne’s Faculty of Health, Arts and Design. Leading-edge research centres, strong ties to industry and commitment to high-quality, high-impact research allows you to understand humanity deeply, bring the real world to focus and make your mark.

About you
To be successful in the role, you will have:

  • Relevant qualifications in nursing and AHPRA registration as a nurse
  • Completion of Postdoctoral (PhD) qualification
  • Qualification and research experience in forensic mental health
  • Proven ability to work in a multi-disciplinary team environment


A full list of selection criteria is available within the position description.

Benefits

  • Flexible working arrangements
  • Discounted gym memberships – including the Hawthorn Aquatic and Leisure Centre (HALC)
  • Private health insurance discounts
  • Discounted annual Myki cards are available to Swinburne staff


To find out more about the extensive range of benefits offered to Swinburne employees please visit Employee Benefits

How to apply and further information
Please submit your application by clicking on the ‘Apply’ link, and submit a resume, cover letter and a response to the Key Selection Criteria, as listed in the position description. For further information about this position, contact Brett McIvor, Research Coordinator via email on bmcivor@swin.edu.au or via phone on +613 9214 6222.

Should you require further support for an interview due to special needs or consideration, please contact our Diversity Consultant, Dr Walter Robles, on inclusion@swin.edu.au. For support or queries related to Aboriginal and Torres Strait Islander employment, please contact DeadlyCareers@swin.edu.au
If you are experiencing technical difficulties with your application, please contact the Recruitment team on staffrecruitment@swin.edu.au

Agency enquiries will not be accepted for this position.

Swinburne is a large and culturally diverse organisation. We are proud to be recognised by the Workplace Gender Equality Agency as an Employer of Choice for women for 10 years in a row and of key initiatives such as our Pride@Swinburne Strategic Action Plan and our Reconciliation Action Plan. Equity and diversity are integral to our 2025 vision to be a world class university creating social and economic impact through science, technology and innovation.

Applications close at 5pm on Sunday, 5 January 2020.

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