PhD: Interpretable & Robust ML for Physics Simulations

Edtlab; France; In loco; EUR 25.000 - 35.000; Tempo pieno

Descrizione del lavoro

Edtlab is offering a PhD position focused on developing statistical methods to improve the interpretability and robustness of machine learning models. This role is vital in advancing physics simulations.

The ideal candidate should hold a Master's degree in Applied Mathematics, Statistics, or Computer Science. A strong background in statistics and machine learning is essential, along with programming skills in Python or R. Fluency in English is required.

Competenze

• Master's degree in Applied Mathematics, Statistics, Computer Science, or related field.
• Strong background in statistics, machine learning, or scientific computing.
• Programming skills in Python, R, or similar.
• Interest in physics-based simulations and uncertainty quantification.
• Fluency in English.

Mansioni

• Develop statistical methods to enhance interpretability and robustness of ML models.

Conoscenze

Statistics

Machine learning

Scientific computing

Programming in Python

Programming in R

Uncertainty quantification

Formazione

Master's degree in Applied Mathematics

Master's degree in Statistics

Master's degree in Computer Science

Descrizione del lavoro

Edtlab is offering a PhD position focused on developing statistical methods to improve the interpretability and robustness of machine learning models. This role is vital in advancing physics simulations.

The ideal candidate should hold a Master's degree in Applied Mathematics, Statistics, or Computer Science. A strong background in statistics and machine learning is essential, along with programming skills in Python or R. Fluency in English is required.