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Research Associate in Theoretical and Computational Condensed Matter Physics
Research Associate in Theoretical and Computational Condensed Matter PhysicsBrookhaven Science Associates • Ridge, NY, US
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Research Associate in Theoretical and Computational Condensed Matter Physics

Research Associate in Theoretical and Computational Condensed Matter Physics

Brookhaven Science Associates • Ridge, NY, US
17 hours ago
Job type
  • Full-time
Job description

Overview

Research Associate in Theoretical and Computational Condensed Matter Physics

Base pay range : $75,000.00 / yr - $83,000.00 / yr

Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program.

Position Description

We invite applications for a postdoctoral research associate position in theoretical and computational condensed matter physics. The successful candidate will conduct research on correlated and topological systems using state-of-the-art machine learning and electronic structure techniques. The primary focus of the project is to design and implement machine learning pipelines to efficiently investigate electron and spin systems. The position offers close collaboration with both theoretical and experimental groups within CMPMSD.

This appointment is for two years, with the possibility of renewal for a third year depending on funding availability and research performance.

Essential Duties And Responsibilities

  • Perform research on correlated electron and spin systems using ab-initio, model Hamiltonian and machine learning-based methods.
  • Publish high-quality papers and give external presentations on your work.
  • Collaborate actively with various theoretical and experimental groups within CMPMSD.

Position Requirements

Required Knowledge, Skills, and Abilities :

  • Ph.D. in Theoretical Condensed Matter Physics, Chemistry, Materials Science, or related discipline.
  • Demonstrated expertise in machine learning techniques and proficiency in scientific programming (Python and / or Fortran / C++).
  • Strong publication record in peer-reviewed journals and presentations at professional conferences, or equivalent public research contributions (e.g., GitHub repositories).
  • Preferred Knowledge, Skills, And Abilities

  • Knowledge of Density Functional Theory calculations and Wannier method-based spin Hamiltonian downfolding techniques.
  • Familiarity with high throughput computing using modern GPU hardware as well as other computational methods such as Monte-Carlo and mean-field calculations.
  • Benefits

  • Medical, Dental, and Vision Care Plans
  • Flexible Spending Accounts
  • Paid Time-off and Leave Programs (vacation, holidays, sick leave, paid parental leave)
  • 401(k) Plan
  • Flexible Work Arrangements
  • Tuition Assistance, Training and Professional Development Programs
  • Employee Fitness / Wellness & Recreation
  • Additional information available through Brookhaven National Laboratory benefits resources
  • Equal Opportunity

    Brookhaven National Laboratory is an equal opportunity employer and values inclusion and diversity. We commit to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability or any other protected class. Accommodation requests may be made during the application process.

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    Research Associate • Ridge, NY, US

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