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Casual Sessional Academic - School of Computing, S1 2025

  • 557308
  • Canberra / ACT, ACT, Australia, 2601
  • Casual
  • Closing at: Oct 22 2024 at 23:55 AEDT

Classification: Casual Sessional Academic
Salary package: Per ANU Casual Sessional Academic salary
Terms: Casual

Position overview
The ANU College of Engineering, Computing and Cybernetics (CECC) is seeking casual sessional academics (tutors) for Semester 1 2025. Individuals with experience and expertise in the field of Computing who are interested in teaching undergraduate and postgraduate courses are encouraged to apply.

As a casual sessional academic you will be involved in the delivery of CECC courses with support, guidance and direction from the Course Convenor and School staff.

You will work both independently and as part of a team to inspire active and evidence-based learning in our courses as well as motivate students to achieve their best and help them meet the stated learning outcomes.

A Tutor shall have qualifications and/or experiences recognised by the institution as appropriate for the relevant discipline area. If you have the ability to engage, educate and enjoy working as part of a team, we would like to hear from you.

Tutoring qualifications are highly regarded. If you have not already completed specific tutor training run by the CECS or TQP with CHELT, you may have the opportunity to participate in this professional development during the semester depending on COVID-19 restrictions. You will be notified by the school if this will be possible.

ANU casual sessional academic positions are non-ladder positions.

Information on salary rates is available at https://services.anu.edu.au/human-resources/salaries-benefits/academic-casual-sessional-rates

Review of applications will begin after the closing date and will continue until all positions have been filled. Applications may be used to fill casual sessional academic roles over the course of the Semester. Preparation for teaching in Semester 1 commences in O-week, from 10th Feb 2025. Some courses may start a little earlier and completion of training may be needed in the week of 3rd Feb 2025

The ANU College of Engineering, Computing and Cybernetics (CECC) is one of the premier Engineering and Computing research institutions in the world. Comprising the School of Computing, The School of Engineering and The School of Cybernetics, they are recognised as research leaders in their respective areas continuing the tradition of excellence in research and research-led education. CECC collaborates on research projects with government departments (federal and state) and multinational corporations, helping to accelerate research and development programs and to introduce new technologies to the marketplace. CECC offers a wide range of coursework programs at both the undergraduate and graduate level, and also supervises students for higher degrees by research. We offer undergraduate degrees in engineering, information technology and computer science along with masters and doctoral postgraduate programs.

For further information, please contact Peter Hoefner or Tony Hosking, Associate Director (Education) SOCO E: ade.comp.cecs@anu.edu.au

The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au

ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect- inclusion

Application information
In order to apply for this role please make sure that you upload the following documents:

  • Up to 2-page statement including the following:
    • A brief summary of your teaching experience, either at the ANU or another institution and include any relevant industry experience (If you have previously tutored for CECS before, please list courses tutored. Please note that Convenors may be contacted)
    • A short statement describing your vision for the role of tutor
    • Provide your Semester 1 teaching availability for the period 5th Feb – 31st July 2025
    • Interview availability between late Oct/Nov 2024. If you are successful for interview you will be contacted regarding an interview time during any of the above dates (please note during this time interviews may be conducted via Zoom). (If you have previously interviewed for this position or have tutored before you may not be asked to attend another interview)
    • A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form.
  • Please provide your course preferences by clicking on the following link to the Microsoft online

form. https://forms.office.com/r/SWGK2U1F5n?origin=lprLink

    • There are 10 questions to answer. 1-6 being compulsory. You have the option of providing up to 5 preferences. If you only wish to provide 1 preference, then you only need to fill the first preference section. You must provide at least one preference to be considered for the role.

It is the intention of the School of Computing to collect feedback on individual CSA performance from all course convenors in 2025.This feedback will be made available to other course convenors in subsequent semesters, should individuals apply for other CSA roles. Additional information on this will be provided to successful appointees.

Applications which do not provide a statement of suitability or late may not be considered for these positions. Please note that course availability is subject to change depending on enrolment numbers.

Please note: The successful applicants must have rights to live and work in Australia. The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.

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