Vacancy (Research Scholarship Scheme)



Project Title
Developing an unsupervised machine learning algorithm for object discoveries to marine applications using unmanned aerial vehicles
Location
Sg Long Campus
Appointment Duration
2 years
Stipend
RM2,500.00 per month
Full tuition fee scholarship for candidate with CGPA: 3.50 and above. T&C applies.
Education Level
Bachelors in Engineering / Bachelors in Science
Specific Skills / Knowledge Required
Convolutional neural networks in python, various machine learning knowledge and drone handling is added advantage
Job Description
In this Masters' thesis project, you are going to develop algorithm to identify objects in sea surfaces using drone imaging. CNN object detection algorithm can be used and data collection will be done on sea surfaces to identify boats along with virtual geo fences. A PC with Titan XP GPU will be provided for Machine Learning and candidate must take care of the data collection to apply the algorithm
How to apply
If you are interested, please contact Dr Jeeva Sathya Theesar Shanmugam via email at jeevas@utar.edu.my