Postdoctoral researcher

The work will entail:

• Designing and training physics-informed machine learning (PIML) models for the prediction of
  physical and chemical properties using data from experiments and computation constrained by
  physics requirements.
• Implementing algorithms to assess the performance of PIML models.
• Assessing uncertainty in the predictions of PIML models.
• Developing systems for multiscale modeling of atomic layer deposition processes.
• Developing software to implement the goals stated above (most likely in Python).
• Disseminating results through posters/seminars and international meetings and meeting
  seminars.
• Ensuring that all results, findings, data, software, etc. are correctly archived and transmitted
  through appropriate channels.