Post-doc in Scientific Machine Learning
2024-10-08 Genova Erzelli
The Italian Institute of Technology is looking for a Post-doc in Scientific Machine Learning. The position is within the Computational Statistics and Machine Learning (CSML) research unit at IIT. The successful candidate will be engaged in designing novel learning algorithms for numerical simulations of physical systems, with a focus on machine learning for dynamical systems. CSML has a strong focus on ML theory and algorithms, but also significant multidisciplinary interactions with other IIT groups in areas ranging from Atomistic Simulations, to Neuroscience and Robotics.
A PhD in Applied Mathematics, Physics, Engineering, Computer Science, or related disciplines;
Good record of publications in top tier conferences/journals in ML and related disciplines;
A strong background on a least one of the following areas:
Machine Learning for dynamical systems and partial differential equations;
Computational tools for numerical simulations, and a working knowledge of ML tools;
Numerical optimization and its application to machine learning and deep learning;
Strong problem-solving attitude;
Working knowledge of the ML ecosystem (Python, Pytorch, JAX, sklearn);
The ability to properly report, organize and publish your research results;
Good command of spoken and written English.
