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Postdoc Modeling Optical Spectroscopy using ML a ... (No replies)

cisborn

4 years ago

cisborn 4 years ago

There is a post-doc position available in the Isborn group at the University of California Merced (faculty.ucmerced.edu/cisborn/) to model the linear and nonlinear spectroscopy of condensed phase systems. The project will involve using and developing machine learning methods to model excited states and potential energy surfaces, applying static and dynamic approaches ( cumulant-based ) to develop techniques for simulating linear and nonlinear spectroscopy.  Applicants with experience with excited state electronic structure and dynamics are desired.

 

Applicants should email Professor Isborn (cisborn-at-ucmerced.edu) with their CV and description of research interests, also describing why they would be a good fit for this project.

 

 

A couple recent papers that show the directions we are going are posted here: 

 

Nonlinear Spectroscopy in the Condensed Phase: The Role of Duschinsky Rotations and Third Order Cumulant Contributions

https://chemrxiv.org/s/397a2caa5c09c78f4b44

 

Exploiting machine learning to efficiently predict multidimensional optical spectra in complex environments

 

https://arxiv.org/abs/2005.09776