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Multiple post-doc positions at U. California Mer ... (No replies)
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Job Description:
Multiple postdoctoral positions are available in Computational Chemistry/Physics/Data Science at the University of California, Merced. Faculty Christine Isborn, Liang Shi, David Strubbe, Aurora Pribram-Jones, and Harish Bhat are looking for post-docs with strong expertise in data science, electronic structure, excited states, electron dynamics, condensed-phase dynamics, and/or spectroscopy. Specific projects of interest are listed below.
1. Modeling linear and nonlinear optical spectroscopy of solution phase systems using dynamic approaches (correlation functions/cumulant expansion). This position will involve developing and testing new spectroscopic methods, running molecular dynamics simulations, and performing TDDFT excited state calculations. (Christine Isborn and Liang Shi groups)
2. Modeling light-induced degradation in organic photovoltaics. This project involves the use of TDDFT and GW/Bethe-Salpeter approaches to calculate atomic motions after light absorption in photovoltaic materials to investigate how light can form defects and cause degradation of electronic and optical properties. (David Strubbe group)
3. Using data science methods (recurrent neural networks and interpretability methods, such as equation discovery and sensitivity analysis) to model and gain insight into excited states and TDDFT electron dynamics. (Christine Isborn and Harish Bhat groups)
4. Using data science methods such as memory-constrained auto-encoders to determine an optimal subspace (projection operator) for nonadiabatic dynamics. (Harish Bhat group)
5. Analysis and development of finite-temperature strictly correlated electron-referenced density functional theory, via formal derivations, numerical demonstrations, and analytical studies. (Pribram-Jones group)
6. Using real-time electronic structure methods to investigate the importance of approximate and exact exchange-correlation in laser-molecule interactions. (Pribram-Jones group)
The applicant should indicate the research areas of interest.
Qualifications:
Recent Ph.D. in theoretical chemistry or physics (or a closely related field); for projects with Prof. Bhat, Ph.D. in applied math, computer science, statistics (or a closely related field) is required.
Preferred: excellent publication record; good written and spoken communication skills; experience developing, implementing, and validating models, background in theoretical chemical physics, condensed-phase dynamics, spectroscopic methods, python, and numerical methods. For projects with Prof. Bhat, preferred qualifications include: good written and spoken communication skills, expertise in machine learning including algorithm development; experience with large spatiotemporal data sets; proficiency with TensorFlow or similar frameworks.
Interested applicants should email faculty directly with a statement of research interest and CV:
Christine Isborn ([email protected])
Liang Shi ([email protected])
David Strubbe ([email protected])
Aurora Pribram-Jones ([email protected])
Harish Bhat ([email protected])