Research Associate, Computer Science
The position is part of an Innovation Grant at the University of New South Wales, funded by the Suicide Prevention Research Fund. It involves collaborative research between the School of Computer Science and Engineering (CSE) and the Black Dog Institute (BDI) that aims to automatically identify behaviours preceding a suicide attempt using video data analysis and machine learning, with potential for early detection and intervention in someone in crisis. The Research Associate will work closely with the both the CSE and BDI research teams.
The role of Research Associate reports to Professor Arcot Sowmya and has no direct reports.
- Level A: $95,449 - $102,091 per annum + 9.5% superannuation
- Full time (35 hours per week)
- Fixed-term contract (6 months) starting in early February 2020
- Location: Kensington – Sydney, Australia
UNSW is currently implementing a ten-year strategy to 2025 and our ambition for the next decade is nothing less than to establish UNSW as Australia’s global university. This position is within the School of Computer Science and Engineering.
About the successful applicant:
- PhD (or soon to be awarded) in Computer Science and Engineering or related area or equivalent experience.
- Demonstrated ability to conduct independent research with limited supervision in computer vision, machine learning and deep learning.
- Demonstrated experience with image analysis, software development and evaluation.
- Expertise in a programming language and tools including:
- R, Stata, scikit-learn
- Deep learning tools such as Tensor Flow, Keras, PyTorch
- Image Processing tools in OpenCV, scikit-image
- Ability to learn other tools, if necessary
- Demonstrated track record of publications and conference presentations relative to opportunity.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Strong interpersonal skills with demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
- Demonstrated ability to supervise undergraduate students or equivalent experience in the supervision of junior staff in related projects.
- Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.
Additional details about the specific responsibilities for this role can be found in the attached position description below.
Within your application you should address the selection criteria which are listed within the position description.
Please apply online. Applications will not be accepted if sent to the contact listed below. Note working rights for Australia are required for this role.
Eugene Aves, Talent Acquisition Consultant
T: (+61 2) 9385 3475
Applications close: 11:30 pm (AEST), Monday 16th December 2019
UNSW aspires to be the exemplar Australian university and employer of choice for people from diverse backgrounds.
UNSW aims to ensure equality in recruitment, development, retention and promotion of staff, and that no-one is disadvantaged on the basis of their gender, cultural background, disability, sexual orientation or identity. We encourage everyone who meets the selection criteria to apply.