Lawrence Livermore National Laboratory
Fusion Materials Computational Materials Science - Postdoctoral Researcher
Lawrence Livermore National Laboratory, Livermore, California, United States, 94551
Overview
Join us and make YOUR mark on the World!
Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.
We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and diverse perspectives, recognizing their importance to the continued success of the Laboratory’s mission.
Position Information This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.
Job Title : Computational Materials Science Postdoctoral Researcher
Why LLNL Pay
$118,884 Annually
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
Responsibilities
Develop and validate a multiscale simulation framework for radiation-induced defect evolution in complex alloys, focusing on refractory high entropy alloys (RHEAs).
Implement the framework in parallel simulation codes intended to run on LLNL supercomputers.
Integrate FP-KMC, on-lattice KMC, and MD methods to achieve atomic-resolution modeling over extended timescales.
Parameterize defect migration energies from atomistic simulations and incorporate results into KMC simulations.
Perform MD simulations to predict primary damage cascades and point defect production rates.
Analyze simulation outputs to predict macroscopic swelling and strain hardening.
Interface with experimentalists and AI practitioners to validate models and propose directions for alloys property optimization.
Work both independently and collaborate with others in a multidisciplinary team environment to accomplish program goals.
Publish research results in peer-reviewed scientific journals and present results at external conferences, seminars, and/or technical meetings.
Perform other duties as assigned.
Qualifications
PhD in Materials Science, Condensed Matter Physics, Nuclear Engineering, Computational Science, Applied Math, or a closely related field.
Demonstrated experience in atomistic simulation methods (e.g., Molecular Dynamics, Kinetic Monte Carlo).
Ability to independently develop massively parallelized codes using C/C++/Python and proficiency in high-performance computing environments.
Strong analytical and problem-solving skills.
Proficient verbal and written communication skills as reflected in effective presentations at meetings and a demonstrated strong publication record.
Initiative and interpersonal skills with desire and ability to work in a collaborative, multidisciplinary team environment.
Qualifications We Desire
Experience with multiscale modeling frameworks and integration of multiple simulation methods.
Familiarity with advanced KMC algorithms for defect evolution and/or discrete event simulations.
Background in modeling radiation effects in metals or alloys / high entropy alloys.
Experience in the design of algorithms, development of simulation codes, and their implementation and validation.
Additional Information
Security Clearance : None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)
Policies and Notices
National Defense Authorization Act (NDAA) : The 2025 NDAA, Section 3112, generally prohibits certain foreign nationals from accessing specific non-public areas. Candidates must be eligible to access the Laboratory in compliance with Section 3112.
Pre-Employment Drug Test : External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Equal Employment Opportunity : We are an equal opportunity employer that is committed to providing a work environment free of discrimination and harassment. All qualified applicants will receive consideration without regard to protected characteristics.
Reasonable Accommodation : If you need a reasonable accommodation during the application or recruiting process, please use our online form to submit a request.
Contact and Scam Awareness Please be aware of recruitment scams. LLNL never offers without a personal interview and never charges a fee. All current job openings are on the Career Page of our website. Learn more about recruitment scams at the LLNL site.
#J-18808-Ljbffr
Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.
We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and diverse perspectives, recognizing their importance to the continued success of the Laboratory’s mission.
Position Information This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.
Job Title : Computational Materials Science Postdoctoral Researcher
Why LLNL Pay
$118,884 Annually
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
Responsibilities
Develop and validate a multiscale simulation framework for radiation-induced defect evolution in complex alloys, focusing on refractory high entropy alloys (RHEAs).
Implement the framework in parallel simulation codes intended to run on LLNL supercomputers.
Integrate FP-KMC, on-lattice KMC, and MD methods to achieve atomic-resolution modeling over extended timescales.
Parameterize defect migration energies from atomistic simulations and incorporate results into KMC simulations.
Perform MD simulations to predict primary damage cascades and point defect production rates.
Analyze simulation outputs to predict macroscopic swelling and strain hardening.
Interface with experimentalists and AI practitioners to validate models and propose directions for alloys property optimization.
Work both independently and collaborate with others in a multidisciplinary team environment to accomplish program goals.
Publish research results in peer-reviewed scientific journals and present results at external conferences, seminars, and/or technical meetings.
Perform other duties as assigned.
Qualifications
PhD in Materials Science, Condensed Matter Physics, Nuclear Engineering, Computational Science, Applied Math, or a closely related field.
Demonstrated experience in atomistic simulation methods (e.g., Molecular Dynamics, Kinetic Monte Carlo).
Ability to independently develop massively parallelized codes using C/C++/Python and proficiency in high-performance computing environments.
Strong analytical and problem-solving skills.
Proficient verbal and written communication skills as reflected in effective presentations at meetings and a demonstrated strong publication record.
Initiative and interpersonal skills with desire and ability to work in a collaborative, multidisciplinary team environment.
Qualifications We Desire
Experience with multiscale modeling frameworks and integration of multiple simulation methods.
Familiarity with advanced KMC algorithms for defect evolution and/or discrete event simulations.
Background in modeling radiation effects in metals or alloys / high entropy alloys.
Experience in the design of algorithms, development of simulation codes, and their implementation and validation.
Additional Information
Security Clearance : None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)
Policies and Notices
National Defense Authorization Act (NDAA) : The 2025 NDAA, Section 3112, generally prohibits certain foreign nationals from accessing specific non-public areas. Candidates must be eligible to access the Laboratory in compliance with Section 3112.
Pre-Employment Drug Test : External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Equal Employment Opportunity : We are an equal opportunity employer that is committed to providing a work environment free of discrimination and harassment. All qualified applicants will receive consideration without regard to protected characteristics.
Reasonable Accommodation : If you need a reasonable accommodation during the application or recruiting process, please use our online form to submit a request.
Contact and Scam Awareness Please be aware of recruitment scams. LLNL never offers without a personal interview and never charges a fee. All current job openings are on the Career Page of our website. Learn more about recruitment scams at the LLNL site.
#J-18808-Ljbffr