Postdoc: Resource-Efficient Large-Scale ML & Sparse Networks

1000scholars; Lyon; On-site; EUR 40,000 - 50,000; Full time

Job summary

Ecole Normale Supérieure de Lyon seeks a postdoctoral researcher to advance machine learning with robust, scalable methods. The candidate will contribute to the AllegroAssai task force, bring expertise from applied mathematics, statistics, signal processing, or computer science, and collaborate across ENS de Lyon groups.

The role emphasizes developing provable algorithms and efficient learning with sparse deep networks, while leveraging travel, computing, and experimental resources provided by

Qualifications

• Ph.D. required; strong algorithmic and mathematical foundations.
• Good programming skills in relevant languages.
• Experience in sparse signal representations or statistical machine learning is preferred.

Responsibilities

• Conduct a vigorous research program within the AllegroAssai task force.
• Show independence while collaborating with ENS de Lyon groups.
• Engage in collaborations with other groups and contribute to travel, computing, and experimental resources.

Skills

Programming skills

Independence

Teamwork

Education

PhD

Job description

Ecole Normale Supérieure de Lyon seeks a postdoctoral researcher to advance machine learning with robust, scalable methods. The candidate will contribute to the AllegroAssai task force, bring expertise from applied mathematics, statistics, signal processing, or computer science, and collaborate across ENS de Lyon groups.

The role emphasizes developing provable algorithms and efficient learning with sparse deep networks, while leveraging travel, computing, and experimental resources provided by