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Horizon Postdoctoral Fellowships

Job posting


Research program title

Learning Optimizers for Training Neural Networks on Large Scale Datasets

Reference number

12002

Supervisor

Program description

In this project we will work on approaches for scaling learned optimizers for training deep neural networks at scale. Furthermore, we will aim to use learned optimizers in emerging paradigms of federated and decentralized learning.

Academic qualifications required

PhD in Machine Learning or related discipline.

Eligibility requirements

  • Applicants must not currently hold a postdoctoral appointment at Concordia
  • Priority will be given to postdoctoral fellows who have obtained their PhD from another university although in exceptional cases Concordia graduates may be considered
  • Applicants must adhere to the postdoctoral fellow eligibility criteria outlined in Concordia University’s Postdoctoral Policy

Timeline

The Horizon position is expected to be filled as soon as possible but no later than August 31, 2023.

Submission process

  • All documents must be submitted to Eugene Belilovsky
  • Please include the reference number with your application

Application checklist

  • One to three (1-3) page research statement demonstrating fit with the program described above 
  • Current curriculum vitae demonstrating research excellence and a capacity for leadership in the domain (maximum 5 pages)
  • Two letters of reference from academic supervisors or current employers to be sent via e-mail directly to: Eugene Belilovsky

Value

The prestigious two-year Horizon Postdoctoral Fellowships are valued at $50,000 per year plus benefits and full access to Concordia’s services, including GradProSkills.


Concordia University is a vibrant research and teaching environment, with state-of-the-art research facilities and many research centers. Concordia is located in Montreal, Canada, a diverse and creative city, often ranked as offering one of the best quality of living experiences in North America.

Concordia University is committed to Employment Equity and encourages applications from women, Aboriginal Peoples, visible minorities, ethnic minorities, and persons with disabilities.

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