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Canada Excellence Research Chair in Foundations of Efficient AI

McGill · McConnell Eng. Bldg.

Nouveau
Senior 🇬🇧 English
Machine Learning Statistical Learning Optimization

Description du poste

About the role

The Canada Excellence Research Chair (CERC) in Foundations of Efficient Artificial Intelligence invites world‑renowned researchers to lead a transformative eight‑year program at McGill University. The Chairholder will join the School of Computer Science and/or the Department of Mathematics and Statistics as an Associate or Full Professor and become a core member of Mila, the Quebec Institute for Artificial Intelligence.

Key responsibilities

  • Develop and lead a cutting‑edge research agenda on the computational and data efficiency of AI methods.
  • Build and supervise a multidisciplinary research team, including graduate students and post‑doctoral fellows.
  • Collaborate with Mila, industry partners, and international experts to translate research into sustainable AI solutions.
  • Secure additional funding, publish high‑impact results, and contribute to teaching at the university level.

Required profile

  • Internationally recognized leader in AI foundations with a strong publication record.
  • Current rank of Full Professor or Associate Professor expected to be promoted to Full within two years.
  • Demonstrated ability to attract and manage large research programmes.
  • Commitment to interdisciplinary collaboration across robotics, bioinformatics, NLP, climate science, and related domains.

Required skills

  • Machine Learning
  • Statistical Learning
  • Optimization

What we offer

  • Eight‑year research chair funded at $8 million or $4 million (CAD) – not renewable.
  • Permanent academic appointment (Associate or Full Professor) with access to world‑class facilities.
  • Core membership in Mila, providing extensive networking with leading AI researchers and industry labs.
  • Opportunities to work on high‑impact applications such as robotics, climate change, and big‑data systems.

Questions fréquentes

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Source : ats:workday

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McGill

McConnell Eng. Bldg.