Postdoctoral Fellow

Tulane University · New Orleans, LA, United States

Posted 14 days ago

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Skills

Density functional theoryElectronic-structure calculationsElectron-phonon calculationsInterpolative separable density fittingIterative eigensolversDFTTime-dependent DFTMany-electron methodsComputational materials physicsParallel scientific computingVASPQuantum ESPRESSOPWDFTPySCFPythonCC++Fortran

Job description

Research responsibilities include:

  • Develop efficient numerical algorithms for density functional theory (DFT) and related electronic-structure calculations. Improve the efficiency and scalability of electron-phonon calculations using methods such as interpolative separable density fitting and iterative eigensolvers.
  • Apply DFT and density functional perturbation theory to complex materials and transition-metal compounds. Use computational modeling and data analysis to study relationships among atomic structure, electronic structure, and material properties.
  • Develop and validate nonempirical density-functional approximations, and explore new numerical formulations of DFT for electronic structure, response properties, and systems with significant electron-correlation effects.
  • Develop and maintain scientific software through algorithm implementation, testing, validation, documentation, and performance optimization. Compare computational predictions with reference data, established theory, and available experimental results.
  • Prepare peer-reviewed publications and present research at scientific meetings. Collaborate with faculty, postdoctoral researchers, and students at Tulane and other academic institutions; assist with student mentoring; and participate in group meetings and seminars.
  • Experience with DFT, time-dependent DFT, electronic-structure theory, many-electron methods, or computational materials physics.
  • Experience developing or implementing numerical algorithms in scientific software, including parallel scientific computing.
  • Knowledge of electronic-structure packages such as VASP, Quantum ESPRESSO, PWDFT, PySCF, or related programs.
  • Programming experience in one or more languages such as Python, C, C++, or Fortran.
  • Strong written and oral scientific communication skills, with the ability to conduct independent research and collaborate effectively with researchers and students.
  • Curriculum Vitae
  • Contact information for at least three professional references
Required Qualifications

Applicants must hold a Ph.D. in physics, chemistry, materials science, applied mathematics, computational science, or a closely related field. The successful candidate should have:

Required Applicant Materials

Interested candidates should submit the following materials:

For further inquiries about this position, please email Dr. Jianwei Sun, at jsun@tulane.edu, and Dr. Ruiqi Zhang at [email protected].


 

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