Research Fellow at Monash University: Join us at Monash University, a world top 50 institution, and amplify your impact in the field of Data Science and AI. We are looking for a Research Fellow to work on the project “HARNESS: Hierarchical Abstractions and Reasoning for Neuro-Symbolic Systems.” This 12-month fixed-term appointment offers a unique opportunity to contribute to cutting-edge research and autonomous systems. If you are passionate about advancing the field and making a positive global impact, this is the place for you.
Designation: Research Fellow
Research Area: Data Science and AI, Computer Vision, Neuro-Symbolic Systems
Location: Clayton campus, Monash University
Eligibility/Qualification:
- Strong publishing record in related fields.
- Proficient in programming, organizational, and communication skills.
- Experience in computer vision, including perception (e.g., 3D object detection, tracking, mapping), and intent/trajectory recognition, especially in open-world, open-vocabulary settings.
Job Description:
Monash University’s Department of Data Science and AI (DSAI) is seeking a Research Fellow for the “HARNESS” project, focusing on Hierarchical Abstractions and Reasoning for Neuro-Symbolic Systems. The project aims to enhance the autonomy of autonomous systems, making them more robust, adaptable, and safe. This will be achieved through the integration of symbolic modeling and reasoning with neural network-based learning algorithms.
As a Research Fellow, your primary responsibilities will include working on perception and computer vision to enable the autonomous system to perceive and understand the world in which it operates. This involves 3D object detection, tracking, mapping, and intent/trajectory recognition in open-world, open-vocabulary settings. Successful candidates should have a strong publishing record, exceptional programming skills, and the ability to work collaboratively.
How to Apply:
To apply for this position, please refer to the selection criteria and follow the application process outlined in the “How to apply for Monash Jobs” guide. Your application should address the selection criteria.
For any inquiries or further information about this position, you can contact:
Associate Professor Yuan-Fang Li Associate Dean International Phone: +61 3 9905 9688
Closing Date: Tuesday 7 November 2023, 11:55pm AEDT
Don’t miss the opportunity to be a part of Monash University’s innovative and inclusive research community. Join us and contribute to the advancement of Neuro-Symbolic Systems, Computer Vision, and Data Science. Be the change-maker we are looking for.
