Postdoctoral Scholar in Theoretical Chemistry/Applied Mathematics (Multiple Hire

Applications are invited for multiple full-time postdoctoral research positions in the groups of Professor Christine Isborn (Chemistry), Harish Bhat (Applied Math), and Henrik R. Larsson (Chemistry and Physics) at the University of California, Merced.

The postdoctoral scholars will work on a DOE-funded SciDAC project Moving Electrons through Space and Time: Enabling the Quantum Dynamics of Chirality-Induced Spin Selection Through Novel and Scalable Computational Methods.

The project involves close collaborations with teams at University of Michigan, Rutgers University Newark, and Lawrence Livermore National Laboratory. Available computational resources include shared clusters at Merced, computing nodes dedicated to the group, and the NERSC supercomputing cluster.
Postdoctoral scholars will be expected to present and engage at national and international conferences, write journal articles, and assist with mentoring students.

Isborn group
The position will involve applying multiple time-dependent electronic structure and nonadiabatic dynamic methods to model the CISS effect in molecular systems. Method development, potentially in the realm of time-dependent current DFT, will likely also be required as we learn about physical phenomena underlying the CISS effect.

Bhat group
The position will involve developing new mathematical/computational methods at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models of potentials that appear in Hamiltonians for time-dependent quantum systems. The postdoc will be expected to contribute to various aspects of this project, e.g.: (a) fusing modern neural architectures with first-principle models of time-dependent quantum systems, (b) developing bespoke adjoint methods to efficiently compute required gradients/Hessians, and (c) incorporating symmetries and constraints into neural network models. Of particular interest are candidates who have a background and/or interest in one or more of the following: optimization and optimal control (esp. optimal control of partial differential equations (PDE) or PDE-constrained optimization), scientific machine learning, and scientific computing (esp. for time-dependent quantum systems).

Larsson group
The position will involve developing methods based on the density matrix renormalization group (DMRG) for real-time electron dynamics. Applications will involve real-time dynamics of chiral molecules, and the generation of reference data for density functional inversion.
Additional applications are possible on quasi-exact nonadiabatic nuclear dynamics simulations using tensor network states (ML-MCTDH) of vibronic coupling models. Of particular interest are candidates who have a background and/or interest in one or more of the following: Electronic structure/dynamics, tensor network states, multireference electronic structure, relativistic electronic structure. More information about the Larsson group can be found at https://larsson-research.de/ .

For positions in Chemistry/Physics: Applicants are required to have a Ph.D. in Chemistry, Physics, or a related field. Experience with quantum simulations (broadly defined), programming (Python, Julia, C , Fortran, etc), and excellent oral and written communication skills are required.

For positions in Applied Mathematics: Applicants are required to have a Ph.D. in Applied Mathematics, Mathematics, Control, Operations Research, Statistics, or a related field. Experience in numerical analysis, scientific computing, and either optimization or machine learning is required. Experience with programming (Python, NumPy/SciPy, JAX/PyTorch/TensorFlow, C ), and excellent oral and written communication skills are required.

For positions in Chemistry/Physics: The ideal candidate has experience in developing computational methods in the fields of theoretical chemistry/physics.

For positions in Applied Mathematics: The ideal candidate has experience in machine learning and PDE-constrained optimization for time-dependent systems; the ideal candidate also has a strong interest in quantum dynamics.

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As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

"Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.

Please complete, sign, and upload the required Authorization of Information Release to your application: Required Authorization of Information Release Form.

Candidates must possess valid authorization to work in the United States. UC Merced is not currently able to sponsor individuals residing outside the United States who would require a new H-1B visa for employment. Applicants who do not hold valid U.S. work authorization are presently ineligible for this position.

Additional links: UC Sexual Violence and Sexual Harassment Policy, the UC Anti-Discrimination Policy, and APM 035: Affirmative Action and Nondiscrimination in Employment.

The University of California, Merced, is the newest of the University of California system's 10 campuses. Ranked as one of the best public universities in the nation by U.S. News and World Report and recently designated as an R1 institution by Carnegie, UC Merced is committed to innovation and excellence in research. With over 9,000 undergraduate and graduate students (Center of Institutional Effectiveness), UC Merced provides outstanding, inclusive educational opportunities to highly qualified students from the heart of California, the nation, and abroad. The campus has special connections to nearby Yosemite National Park; is on the cutting edge of sustainability in construction and design; and supports the economic development of Central California.

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. This includes the University of California Policy on Vaccination Programs.