Australian Centre for Field RoboticsAbout this role
The Australian Centre for Field Robotics (ACFR) is looking for a postdoctoral research associate who has demonstrated research excellence in machine learning and wants to be part of a growing interest in novel machine learning techniques for robotic systems.
Link ? POSTDOCTORAL RESEARCH ASSOCIATE 881/0415 <http://sydney.nga.net.au/cp/index.cfm?event=jobs.checkJobDetailsNewApplication&returnToEvent=jobs.processJobSearch&jobid=a4cc23bf-39ea-b46b-db59-88cb65a1efdb&CurATC=EXT&CurBID=949319bc-8898-4f11-ac4b-9db401358504&jobsListKey=45d96e3f-e156-405d-a451-cc2846d7febe&persistVariables=CurATC,CurBID,jobsListKey&lid=93122630008>
The ACFR is based in the School of Aerospace, Mechanical and Mechatronic Engineering (AMME) at The University of Sydney, and is dedicated to the research, development, application and dissemination of autonomous and intelligent robots and systems for operation in outdoor environments. The ACFR is a large multidisciplinary team of researchers and engineers with backgrounds in computer science, aeronautical and mechatronic engineering, physics and mathematics. It is the largest field robotics and automation research group in Australia and is also one of the largest of its kind in the world. It has been instrumental in developing breakthrough technologies and in conducting world-leading research and development of field robotics principles and systems.
Company:
Australian Centre for Field Robotics
Qualifications:
To be successful in the role you will have:
A PhD, or in the process of being awarded one, in computer science, computer engineering or other engineering related degrees
Expert knowledge in machine learning and in particular those related to deep learning techniques
Demonstrable experience in developing algorithms for segmentation and classification in computer vision
Demonstrable experience in developing working algorithms for learning using large data sets
Experience in software development
Publications in top machine learning conferences and journals such as NIPS, ICML, UAI, JMLR.
The position is full-time fixed term for one year. Further offers are possible subject to funding and need and are subject to the completion of a satisfactory probation period for new appointees.
Educational level:
Ph. D.
How to apply:
Please mention NLP People as a source when applying
To be considered for this position it is essential that you address the online selection criteria. For guidance on how to apply visit: How to apply for an advertised position. <http://sydney.edu.au/recruitment/recruitment-process/> Please note that resumes need to include contact details of at least three referees and a list of publications.