Machine Learning/Deep Learning/Computer Vision Short Term Support for Graduate Research

Looking for: Undergraduate Student, MSc Student

I’m looking for a UVic student to support a graduate student who is not an expert in ML/DL/CV in the development of some machine learning models based on computer vision for classification of (non-natural) images. Initially, this would entail around 20h of work, involving remote meetings and coding work, at the standard CS TA rate.

This work might lead to more similar work and there is a chance that it could also lead to authorship in a scientific publication. It also constitutes an opportunity to get a glimpse into research work, with minimal risk and just a short commitment.

Requirements/Skills

We require someone who has:

• already built machine learning architectures to work with images; preferably for classification, and preferably with existing pre-trained models such as VGG16 (and other more modern architectures);
• a good understanding of the principles of classification, training, prediction and validation;
• skill with writing python code for machine learning;
• familiarity with Keras and Tensorflow, perhaps Torch;
• does not mind working on other people’s code and can listen well to the needs and requirements stated by others.

Contacts and Instructions

Contact If you are interested in this opportunity, contact Miguel Nacenta (nacenta@uvic.ca). if you are interested in the position.

Send an e-mail to Miguel with the title of this post as the subject. Indicate how you comply with the requirements above, and state your availability. This opportunity was posted 2022-04-23. Candidates will be considered for a few weeks or until vacancy filled.