AI-Driven Molecular & Materials Modeling Postdoc

Los Alamos National Laboratory

Los Alamos (NM)

On-site

USD 65,000 - 85,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental and vision insurance
401(k) matching
Flexible schedules
Onsite gyms and wellness programs

Job summary

Los Alamos National Laboratory seeks a highly motivated Postdoctoral Researcher to develop advanced methodologies for understanding rare-earth element chemistry. This role offers the chance to investigate REE coordination and separation using quantum chemistry and machine learning.

The successful candidate will work onsite in Los Alamos, NM, and is expected to have a Ph.D. in a relevant field. The position includes exceptional opportunities for scientific collaboration and participation in workshops.

Qualifications

  • Ph.D. completed within the last five years.
  • Experience with first-principles electronic structure methods, including DFT and/or TD-DFT.
  • Experience performing atomistic simulations of molecular or condensed-phase systems.
  • Demonstrated ability to work creatively and independently.

Responsibilities

  • Develop and apply methodologies for understanding REE chemistry.
  • Work at the intersection of quantum chemistry and machine learning.
  • Investigate REE coordination, separation, and interfacial processes.

Skills

First-principles electronic structure methods
Atomistic simulations
Machine learning and data science
Excellent communication and writing skills

Education

Ph.D. in Chemistry, Physics, Materials Science, or related field

Tools

Python
High-performance computing platforms

Job description

Los Alamos National Laboratory seeks a highly motivated Postdoctoral Researcher to develop advanced methodologies for understanding rare-earth element chemistry. This role offers the chance to investigate REE coordination and separation using quantum chemistry and machine learning.

The successful candidate will work onsite in Los Alamos, NM, and is expected to have a Ph.D. in a relevant field. The position includes exceptional opportunities for scientific collaboration and participation in workshops.

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