The mesoscience lab at SMU is looking to fill two post-doctoral positions as we continue to develop new tools to simulate mesoscale quantum dynamics and non-linear spectroscopy in molecular materials. We have recently published a formally exact stochastic method (adaptive Hierarchy of Pure States – adHOPS) to simulate exciton dynamics in large molecular aggregates [Varvelo, Lynd, Bennett. Chemical Science 12 9407 (2021)]. The corresponding code base was released open source as part of our MesoHOPS library We have demonstrated proof of concept calculations on linear chains containing 1,000 molecules and are continuing to develop this method with applications to large photosynthetic assemblies, as well as singlet fission, triplet fusion, and charge separation in molecular materials.
Review of applications will begin August 16, 2021 and continue until the position is filled. Both positions are open immediately, though we are prepared to be flexible about start dates.
Position one: We are looking for a post-doctoral scholar to continue extending our MesoHOPS code to multiparticle dynamics such as triplet fusion and charge separation. This will require writing new code and running large scale simulations of exciton dynamics in model materials and then in realistic heterogeneous materials. The successful applicant will have the opportunity to lead the development of MesoHOPS and guide the coding team (two graduate students in addition to external developers) in implementing new features/methods.
Position two: We are looking for post-doctoral scholar to join us in developing a new method for simulating non-linear spectroscopy in large molecular aggregates (>100 molecules) with the goal of extending to simulations of spatially resolved non-linear spectroscopy in molecular aggregates with >>10,000 molecules. The successful applicant will have a chance to build the core library for a next-generation method to simulate non-linear spectroscopy.
Please send your application to doranb [at] smu [dot] edu, including:
Applicants with previous experience in scientific coding – particularly in Python, C++, or Fortran are particularly encouraged to apply. If possible, sending a GitHub link or code sample will be advantageous.
Tagged as: Chemistry, Physics
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