Los Alamos National Laboratory

Computational Materials Scientist

Los Alamos National Laboratory

Los Alamos, NM 87544, USA
Full-TimeDepends on ExperienceMid-LevelPhd or Professional
Job Description

Are you a Computational Materials Scientist looking to make an impact on the world? Los Alamos National Laboratory is looking for an experienced and driven individual to join our team. In this position, you will work to develop and employ computational methods and data science to uncover the physical and chemical properties of materials.We are seeking a person with a Ph.D. in Physics, Chemistry, Materials Science, or a related field and experience in the computational modeling of materials. The ideal candidate will bring a strong background in computational methodology, an aptitude for data science, and an interest in the physics and chemistry of materials. He or she must be able to work independently and collaboratively in a highly dynamic environment, and they must be committed to excellence in research and development.If you are excited by the prospect of being part of an interdisciplinary team working on some of the most pressing challenges facing the world today, this could be the position for you. Join us at Los Alamos and help us make a difference.

Responsibilities: • Develop and employ computational methods and data science to uncover the physical and chemical properties of materials. • Utilize computational methodology to explore the physics and chemistry of materials. • Work independently and collaboratively in a highly dynamic environment. • Keep up to date with the latest developments in the field of computational materials science. • Communicate research findings effectively to colleagues and stakeholders. • Remain committed to excellence in research and development.

Where is this job?
This job is located at Los Alamos, NM 87544, USA
Job Qualifications
  • Phd. In Materials Science Or A Related Field

  • Strong Background In Computational And Theoretical Materials Science

  • Ability To Develop And Apply Advanced Computational Tools For Materials Modeling

  • Knowledge Of Machine Learning Techniques

  • Experience Working With Large

  • Multi-Disciplinary Teams

  • Excellent Communication And Presentation Skills

  • Ability To Identify And Solve Complex Scientific Problems

  • Proficiency In Coding Languages Such As Python And/Or C++

Required Skills
  • Programming

  • Data Analysis

  • Machine Learning

  • Data Mining

  • Optimization

  • Visualization

  • Simulation

  • Monte Carlo

  • Density Functional Theory

  • Molecular Dynamics

  • Ab-initio

  • Quantum Mechanics

  • High Performance Computing

  • Electronic Structure

  • Statistical Mechanics

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • flexibility

  • Creative Thinking

  • Teamwork

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Computational Materials Scientist in Los Alamos, NM 87544, USA is $80,000 to $110,000. This range depends on a variety of factors, such as the candidate’s experience level, the type of company, and the specific job duties.

Additional Information
Los Alamos National Laboratory is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedNovember 27th, 2023
Apply BeforeMay 22nd, 2025
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About Los Alamos National Laboratory

Los Alamos National Laboratory is a United States Department of Energy national laboratory initially organized during World War II for the design of nuclear weapons as part of the Manhattan Project. It is located a short distance northwest of Santa Fe, New Mexico, in the southwestern United States.

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