Postdoctoral Researcher in Machine Learning

Job Summary

Focusing on cross-disciplinary research in scientific machine learning, the full-time salaried Postdoctoral Researcher in Machine Learning will develop innovative methods for predictive modeling across various experimental scales and conditions, addressing data sparsity and modality differences.

Key responsibilities

• Develop methods to combine evidence from different experimental scales for accurate predictions
• Innovate learning techniques, including multi-modal and surrogate modeling approaches
• Collaborate with multidisciplinary teams to integrate diverse data sources and conditions in modeling efforts

Required qualifications

• Recent PhD graduate within the last three years
• Demonstrated experience in developing machine learning models for scientific or engineering systems
• Experience in learning from one set of conditions and predicting in another with differing distributions
• Proficiency in combining data with varying modalities and experimental conditions
• Experience in physics-informed and hybrid modeling techniques