PhD: Frugal Distributed Training with Volatile Resources

Inria; Valbonne; Sur place; EUR 23 357 - 27 978; Plein temps

Avantages offerts par ce poste

Partial reimbursement of public transport costs

7 weeks of annual leave + 10 extra days off

Possibility of teleworking

Professional equipment available

Access to vocational training

Social security coverage

Résumé du poste

Inria is offering a PhD position focusing on Frugal Distributed Training with Volatile Resources in Valbonne, France. The candidate will work on revolutionary algorithms for efficient AI training amidst uncertain resource availability.

This unique opportunity merges theoretical exploration with practical applications in machine learning and optimization, supported in an interdisciplinary research environment. A competitive salary of €2300 gross monthly is offered, along with a robust benefits package including extensive leave and flexible working conditions.

Qualifications

• Strong interest in distributed systems and resource-aware machine learning.
• Motivated by theoretical analysis and experimental validation.
• Fluency in English.

Responsabilités

• Develop new distributed training algorithms for volatile environments.
• Model availability of participating resources and optimize algorithms.
• Evaluate proposed algorithms experimentally in simulation and real conditions.

Connaissances

Solid mathematical background

Optimization

Probability

Stochastic processes

Statistical machine learning

Good programming skills in Python

Experience with PyTorch

Experience with TensorFlow

Knowledge of federated learning

Formation

Graduate degree or equivalent

Outils

Python

PyTorch

TensorFlow

JAX

Description du poste

Inria is offering a PhD position focusing on Frugal Distributed Training with Volatile Resources in Valbonne, France. The candidate will work on revolutionary algorithms for efficient AI training amidst uncertain resource availability.

This unique opportunity merges theoretical exploration with practical applications in machine learning and optimization, supported in an interdisciplinary research environment. A competitive salary of €2300 gross monthly is offered, along with a robust benefits package including extensive leave and flexible working conditions.