PhD Position in Learning Interpretable: Université Laval is offering a PhD scholarship to participate in a groundbreaking research project focused on developing innovative methods for deep neural networks. The project aims to enhance the interpretability, reliability, and robustness of machine learning models through the extraction of symbolic components that describe reasoning processes related to decision-making within neural networks.
PhD Position in Methods for Learning Interpretable, Reliable and Robust Deep Models
Designation
PhD Candidate in Computer Science or Electrical Engineering
Research Area
- Machine Learning
- Deep Learning
- Artificial Neural Networks
Location
Institute Intelligence and Data (IID) of Université Laval, Quebec City, Canada
Eligibility/Qualification
- A strong background in Computer Software, Electrical Engineering, Computer Engineering, Software Engineering, Data Science, or Artificial Intelligence.
- In-depth knowledge of machine learning and deep learning techniques.
- A desire to engage in an ambitious research project and establish a presence in the international academic research community.
Job Description
As a PhD candidate, you will work on developing methods to integrate conceptual abstractions into neural networks from training data. Your role will involve creating symbolic representations that facilitate the explanation of model decisions and verification of reasoning by algorithmic means. The project emphasizes creating tools that can help domain experts better understand complex model decisions.
How to Apply
Interested applicants should submit the following documentation:
- Curriculum Vitae
- Student Transcript
- Scientific publications or other works demonstrating research experience
Please contact Dr. Christian Gagné for additional information and to submit your applications:
Email: christian.gagne@gel.ulaval.ca
Last Date to Apply
[Insert specific deadline here, if available] – Please check with the Institute for the exact application deadline.
For more information about this opportunity and other programs, visit the Université Laval website.
