Position overviewPosition title: Postdoctoral Scholar
Open date: September 30, 2022
Most recent review date: Wednesday, Nov 30, 2022 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Wednesday, May 31, 2023 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Applications are invited for a full-time postdoctoral research position in Professor Henrik R. Larsson’s theoretical chemistry group at University of California, Merced.
The position will involve developing new methods related to tensor network states (e.g. DMRG, MCTDH, TTNS) and applying them in theoretical quantum chemistry and theoretical chemical physics. Of particular interest are candidates who are interested in research in one or more of the following: Quantum vibrational dynamics and structure, multireference electronic structure, electron strong-field dynamics, and machine learning and pattern recognition of quantum wavefunctions.
Some of these projects involve international collaborations. Available computational resources include two shared clusters at Merced, computing nodes dedicated to the group, and the San Diego Super Computing Center. The postdoctoral scholar will be expected to present and engage at international conferences, writing journal articles, and assist with mentoring students.
More information on the Larsson group can be found at https://larsson-research.de/
Some relevant publications are:
- Larsson et al., Chem. Sci. 2022, 13, 11119-11125 (doi:10.1039/D2SC03189B)
- Larsson et al., J. Am. Chem. Soc. 2022, 144, 15932-15937 (doi:10.1021/jacs.2c06357)
- Larsson, J. Chem. Phys. 2019, 151, 204102 (doi:10.1063/1.5130390)
- Larsson et al., J. Chem. Theory Comput. 2022, 18, 749-762 (doi:10.1021/acs.jctc.1c00957)
- Larsson et al., J. Chem. Phys. 2021, 155, 144105 (doi:10.1063/5.0063056)
As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy: [https://policy.ucop.edu/doc/5000695/SARS-CoV-2_Covid-19]. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. New University of California employees should refer to Appendix F, Section II.C. of the policy for applicable deadlines. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.
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), and excellent oral and written communication skills are required.
The ideal candidate has experience in developing computational methods in the fields of theoretical chemistry/physics.
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Statement of Research - Please provide a one-page description of current and future research interests.
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The University of California is an Equal Employment Opportunity/Affirmative Action employer and invites applications from all qualified applicants, including women, minorities, veterans, and individual with disabilities, who will enrich the teaching, research and public service missions of the university. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy, see: UC Nondiscrimination & Affirmative Action Policy (https://policy.ucop.edu/doc/4000376/DiscHarassAffirmAction).
The University of California, Merced, is the newest of the University of California system’s 10 campuses. With over 9,000 undergraduate and graduate students (https://www.ucmerced.edu/fast-facts), UC Merced provides outstanding 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 Merced 2020 Project doubled the physical capacity of the campus, and enhanced academic distinction, student success, and research excellence (https://merced2020.ucmerced.edu/).
UC Merced is a smoke & tobacco free campus (https://smokefree.ucmerced.edu/).