PhD positions in Emotion Recognition Bias in Machine Learning

[ADSL]

Are you interested in exploring how biases affect emotion recognition in machine learning systems? Do you want to contribute to the development of fair and inclusive AI technologies that understand human emotions? If so, join us at the Affective Data Science Lab (ADSL) at Ontario Tech University. We combine programming, statistics, and machine learning to study emotions and mitigate biases in AI models.
 
About the Position:
We are offering a fully funded PhD position focused on investigating biases in emotion recognition within machine learning. The successful candidate will work on cutting-edge research to understand how these biases arise and develop methods to address them.

More information:
• https://affectivedatascience.com/join/phd-msc.html

Qualifications:
• A bachelor’s and master’s degree in computer science, data science, statistics, neuroscience, or a related discipline.
• Strong foundation in computer science
• Proficiency in Python programming.
• Familiarity with research methods and an interest in psychology/neuroscience are advantageous but not required.

What We Offer:
• Collaboration with experts across Canada in a multidisciplinary research environment.
• Opportunities to attend and present at domestic and international conferences.
• Access to state-of-the-art facilities, including advanced hardware for measuring human physiology and brain signals in our recording studio.
• A chance to contribute to impactful research that aims to improve fairness and inclusivity in AI systems.

Why Choose ADSL?
At the Affective Data Science Lab, we provide a supportive, flexible, and inclusive work environment. We are committed to fostering diversity and encourage applications from all interested students, including those from First Nations communities, racialized persons, persons with disabilities, women, and individuals who identify as 2SLGBTQ+.

How to Apply:
Interested candidates should prepare the following application materials:

• A curriculum vitae (CV).
• Academic transcripts (unofficial copies are acceptable).
• Sample publication (if available).

Please send your application materials to affectived...@gmail.com with the subject line “PhD Application - Bias in Emotion Recognition.”

Funding offered:
Yes

Program(s):
Doctoral

Research supervision:
Steven R. Livingstone, Associate Professor - Computer Science, Faculty of Science