Job Description: Applications are invited for the post of Research Assistant (PhD student) to join the research project titled “Development of machine learning and deep learning algorithms for imbalanced and one-class classification problems” in collaboration with University of Toronto, Canada. The successful applicant will be a full-time PhD student enrolled in the University’s PhD program and will participate in teaching, research, and/or administrative activities. The position will start from Jan 2022. This successful applicant will develop novel machine algorithm and deep learning algorithms for imbalanced and one-class classification problems. These algorithms will be tested on datasets from various domains including health. This will provide the basis for a doctoral dissertation.
Expected Skills/Experience:
I. Demonstrated knowledge and expertise in machine learning and deep learning.
II. Good publication record in reputed international journals/conference.
III. Possess excellent communication skills.
IV. Expert in relevant programming languages, including python and other deep learning libraries, such as Pytorch/Tensorflow.
Job start Date: Jan 2022
Tenure: Four year
Salary and benefits:
i. The value of fellowship will be AED 100,000 (~USD 27,224) per year including medical insurance.
ii. Full fee waiver
iii. A PhD student may work as a RA for other research projects for which he/she can get up to a maximum of AED 2000 (~USD 550) per month.
Dr. Shehroz Khan,
TRI, Canada.