Jobs · Analyst · New Jersey

Postdoctoral Associates - Condensed Matter Theory

Rutgers University · Piscataway, NJ · 4 mo ago
AnalystFull-time

About the role

We seek applicants for Postdoctoral Associate positions in Theoretical Condensed Matter Physics at Rutgers University, starting dates in 2025 through 2026.

Responsibilities

  • Contribute to research projects in areas such as strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, and more.
  • Collaborate with faculty members including Professors Natan Andrei, Premi Chandra, Piers Coleman, Kristjan Haule, Gabi Kotliar, Jed Pixley, Karin Rabe, Ananda Roy, David Vanderbilt, and Emil Yuzbashyan.
  • Maintain a strong publication record and present findings at conferences and seminars.

Requirements

  • A PhD in Theoretical Physics, Materials Science, or a related field.
  • Strong background in theoretical condensed matter physics.
  • Experience with computational methods at the density-functional and dynamical mean-field-theory levels.
  • Excellent communication skills and ability to work effectively in a team environment.

Qualifications

  • Research experience in one or more of the following areas: strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, and nonlinear and anomalous responses.
  • Experience with quantum computation and information theory, mesoscopic physics, and non-equilibrium transport theory.
  • Ability to conduct independent research and contribute to interdisciplinary collaborations.

Skills

  • Proficiency in programming languages such as Python, Fortran, or C++.
  • Knowledge of density-functional theory and dynamical mean-field theory.
  • Experience with computational tools and software relevant to theoretical condensed matter physics.

Benefits

  • Competitive salary based on experience and qualifications.
  • Flexible working hours and remote work options.
  • Access to state-of-the-art laboratory facilities and computing resources.
  • Opportunities for professional development and mentorship.

Pay

Salary is competitive and commensurate with experience.

Schedule

The schedule is flexible and tailored to the individual's needs and the project requirements.

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