AI Research Scientist in Machine Learning at Society for Learning Analytics
1 month ago
We are inviting applications for multiple tenure-track positions at the Assistant or Associate Professor level, specializing in Artificial Intelligence (AI) and Machine Learning (ML). As an AI Research Scientist, you will be nominated for a Canada CIFAR Artificial Intelligence (CCAI) Chair by the Alberta Machine Intelligence Institute (Amii).
This prestigious position includes research funding for at least five years. You will contribute to the advancement of AI and ML, collaborating with our team to push boundaries in these fields.
About the RoleAs a member of our faculty, you will be responsible for teaching and mentoring students, as well as conducting cutting-edge research that addresses real-world challenges. Your expertise will help us develop innovative solutions that make a tangible impact.
Our department is committed to fostering a collaborative and inclusive environment where everyone feels valued and supported. We believe that diversity enriches our community and drives success.
Job Requirements- PhD in Computer Science, Artificial Intelligence, or related field
- Excellent research track record, publications, and presentation experience
- Prior teaching experience, particularly at the university level
Candidates should have a strong background in AI and ML, including but not limited to, deep learning, natural language processing, computer vision, or reinforcement learning. A proven ability to secure research funding and collaborate effectively within teams is also essential.
Compensation and BenefitsWe offer a competitive salary range of $120,000-$180,000 per annum, depending on qualifications and experience. Additional benefits include a generous research budget, opportunities for professional development, and access to state-of-the-art facilities and resources.
About UsThe Department of Computing Science at the University of Alberta is a world-renowned institution dedicated to advancing the field of computing science. Our researchers and students work together to tackle complex problems and create innovative solutions that improve lives.
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