University Of Sydney | Lecturer In Machine Learning In Business | Australia
vor 1 Monat
Organisation/Company: UNIVERSITY OF SYDNEY
Research Field: Computer Science
Researcher Profile: Established Researcher (R3)
Country: Australia
Application Deadline: 16 Dec 2024 - 00:00 (UTC)
Type of Contract: Permanent
Job Status: Full-time
Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?
No
Offer Description Full time continuing (tenure-track) academic Lecturer Teaching and Research positions (equivalent to Assistant Professor) at The University of Sydney with a potential for an introductory teaching load reduction Intellectually stimulating and rewarding work environment in an ambitious team housed in a modern world-class facility Base Salary Level B AUD$122,830 p.a.
- AUD $145,858 p.a., with potential for a market loading, + 17% superannuation, 36-week paid parental leave and other generous benefits Substantial research start-up package and access to continued research support About the opportunity
The University of Sydney welcomes applications for various academic disciplines outlined below, during an exciting and innovative time.
With the introduction of the new University of Sydney Enterprise Agreement 2023-26, the University has committed to establishing and advertising new continuing teaching and research academic positions across the University of Sydney Business School.
You will have the opportunity to make a significant contribution to teaching in your field of expertise while you also continue to build substantial research contribution, expertise, connections, and impact.
As part of this role, you will also contribute to the governance, leadership, and engagement work of your employing school.
Successful candidates are expected to allocate their contributions as follows: 40% to teaching and related activities, 40% to research, and 20% to governance, leadership, and engagement.
Your key responsibilities will be to:
Contribute to existing and emerging research strengths of the School, including regular publication in journals of high standing within your discipline or area of expertise, pursuing research grants, and presenting and disseminating research findings through appropriate channels.
Design and engage in cutting-edge, innovative and high-quality teaching and learning at the undergraduate and postgraduate level to large and culturally diverse student cohorts, according to the University's expectations and standards for education, delivering outstanding teaching and learning outcomes for students.
Be involved in interdisciplinary collaborations within the University and with external partners.
Contribute to academic governance, leadership, and engagement work in your school.
Maintain relevant Work, Health and Safety requirements.
Develop and refine your research skills.
We are looking for candidates who can make a significant contribution to teaching and learning design, delivery, and evaluation while continuing to build their research contribution, expertise and impact.
They will have a demonstrated ability to interact effectively with students, facilitating and guiding their learning in research, theory and laboratory sessions.
They will also have the capacity to build a significant research program over time, obtaining competitive funding as needed to support their research work.
We are therefore looking for Teaching and Research Appointments who have:
A PhD or nearly completed PhD in Computer Science, Machine Learning, or a related field.
An active research program with significant potential for future publications in field of specialisation.
Evidence of high-quality teaching potential in field of specialisation and interest in or potential for teaching in interdisciplinary teams.
Demonstrated capacity to stimulate, actively engage and educate a range of audiences using various media.
Capacity to contribute to curriculum development.
Potential for engagement and collaboration with partners from industry and government.
Evidence of successful teamwork and a collegial approach.
Your employment is conditional upon the completion of all role-required pre-employment or background checks in terms satisfactory to the University.
Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements.
If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.
To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.
Please prepare and upload your application, including a cover letter that indicates how you believe you meet the criteria outlined above in the "About you" of the advertisement (maximum 3 A4 pages), CV, job market paper, student evaluations (if available) and contact information for three letters of reference, and any additional supporting documentation via the Apply button at the top of the page.
Contact Information
For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Justyn Griffin, Recruitment Partner.
Recruitment Operations, Human Resources by email
Copyright The University of Sydney
The University reserves the right not to proceed with any appointment.
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