PhD in materials science, metallurgy, condensed matter physics, applied math, or a closely related ... OpenCalphad) computational thermodynamics software to perform CALPHAD database development.
PhD in materials science, metallurgy, condensed matter physics, applied math, or a closely related ... OpenCalphad) computational thermodynamics software to perform CALPHAD database development.
Computational Materials Scientist - Postdoctoral Researcher
Livermore, CA · On-site
$123K/yr
PhD in materials science, metallurgy, condensed matter physics, applied math, or a closely related ... OpenCalphad) computational thermodynamics software to perform CALPHAD database development.
Computational Materials Scientist - Postdoctoral Researcher
Livermore, CA · On-site
$123K/yr
PhD in materials science, metallurgy, condensed matter physics, applied math, or a closely related ... OpenCalphad) computational thermodynamics software to perform CALPHAD database development.
Computational Materials Scientist - Postdoctoral Researcher
Livermore, CA · On-site
$123K/yr
PhD in materials science, metallurgy, condensed matter physics, applied math, or a closely related ... OpenCalphad) computational thermodynamics software to perform CALPHAD database development.
Computational Materials Scientist - Postdoctoral Researcher
Livermore, CA · On-site
$123K/yr
PhD in materials science, metallurgy, condensed matter physics, applied math, or a closely related ... OpenCalphad) computational thermodynamics software to perform CALPHAD database development.
AI Materials Research Engineer
Santa Clara, CA · On-site
$170K - $234K/yr
MS/PhD in Materials Science, Computational Materials Science, Physics, Chemical Engineering, or related field. * 2-5 years of experience in Computational Materials Science, Materials Informatics ...
AI Materials Research Engineer
Santa Clara, CA · On-site
$170K - $234K/yr
MS/PhD in Materials Science, Computational Materials Science, Physics, Chemical Engineering, or related field. * 2-5 years of experience in Computational Materials Science, Materials Informatics ...
AI Materials Research Engineer
Santa Clara, CA · On-site +1
$170K - $234K/yr
Required Qualifications MS/PhD in Materials Science, Computational Materials Science, Physics, Chemical Engineering, or related field. 2-5 years of experience in Computational Materials Science ...
AI Materials Research Engineer
Santa Clara, CA · On-site +1
$170K - $234K/yr
Required Qualifications MS/PhD in Materials Science, Computational Materials Science, Physics, Chemical Engineering, or related field. 2-5 years of experience in Computational Materials Science ...
PhD or equivalent experience in Physics, Materials Science, Chemistry, Electrical Engineering, or a related field. * Strong background in computational condensed-matter physics, materials science ...
PhD or equivalent experience in Physics, Materials Science, Chemistry, Electrical Engineering, or a related field. * Strong background in computational condensed-matter physics, materials science ...
Computational Materials Scientist
Woburn, MA · On-site
$180K - $200K/yr
The SES AI Prometheus team is seeking an exceptional Computational Materials Scientist to combine ... Utilize advanced simulation tools (VASP, Quantum Espresso) and data science libraries (TensorFlow ...
Computational Materials Scientist
Woburn, MA · On-site
$180K - $200K/yr
The SES AI Prometheus team is seeking an exceptional Computational Materials Scientist to combine ... Utilize advanced simulation tools (VASP, Quantum Espresso) and data science libraries (TensorFlow ...
PhD or equivalent experience in Physics, Materials Science, Chemistry, Electrical Engineering, or a related field. * Strong background in computational condensed-matter physics, materials science ...
PhD or equivalent experience in Physics, Materials Science, Chemistry, Electrical Engineering, or a related field. * Strong background in computational condensed-matter physics, materials science ...
$180K - $200K/yr
The SES AI Prometheus team is seeking an exceptional Computational Materials Scientist to combine ... Utilize advanced simulation tools (VASP, Quantum Espresso) and data science libraries (TensorFlow ...
$180K - $200K/yr
The SES AI Prometheus team is seeking an exceptional Computational Materials Scientist to combine ... Utilize advanced simulation tools (VASP, Quantum Espresso) and data science libraries (TensorFlow ...
RESEARCH ENGINEER - SR. RESEARCH ENGINEER - Computational Materials Integrity
San Antonio, TX · On-site
$86K - $175K/yr
Requires a Masters or a PhD in Mechanical Engineering, Materials Science, Structural Engineering, Computational Mechanics, Theoretical and Applied Mechanics, Geomechanics, or similar engineering ...
RESEARCH ENGINEER - SR. RESEARCH ENGINEER - Computational Materials Integrity
San Antonio, TX · On-site
$86K - $175K/yr
Requires a Masters or a PhD in Mechanical Engineering, Materials Science, Structural Engineering, Computational Mechanics, Theoretical and Applied Mechanics, Geomechanics, or similar engineering ...
PhD or equivalent experience in Physics, Materials Science, Chemistry, Electrical Engineering, or a related field. * Strong background in computational condensed-matter physics, materials science ...
PhD or equivalent experience in Physics, Materials Science, Chemistry, Electrical Engineering, or a related field. * Strong background in computational condensed-matter physics, materials science ...
Computational Materials Scientist
Walnut Creek, CA · On-site +1
$90K - $140K/yr
Overview We look for computational materials scientists excited about bridging the gap between ... science to help us develop a software framework for designing and discovering new advanced ...
Computational Materials Scientist
Walnut Creek, CA · On-site +1
$90K - $140K/yr
Overview We look for computational materials scientists excited about bridging the gap between ... science to help us develop a software framework for designing and discovering new advanced ...
Computational Materials Scientist
Walnut Creek, CA · On-site
$90K - $140K/yr
Overview We look for computational materials scientists excited about bridging the gap between ... science to help us develop a software framework for designing and discovering new advanced ...
Computational Materials Scientist
Walnut Creek, CA · On-site
$90K - $140K/yr
Overview We look for computational materials scientists excited about bridging the gap between ... science to help us develop a software framework for designing and discovering new advanced ...
Research Scientist, Computational Condensed Matter Physics
Cambridge, MA · On-site
$126K - $156K/yr
PhD or equivalent experience in Physics, Materials Science, Chemistry, Applied Mathematics, or a related field. * Strong foundation in computational condensed matter physics, electronic structure, or ...
Research Scientist, Computational Condensed Matter Physics
Cambridge, MA · On-site
$126K - $156K/yr
PhD or equivalent experience in Physics, Materials Science, Chemistry, Applied Mathematics, or a related field. * Strong foundation in computational condensed matter physics, electronic structure, or ...
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Walnut Creek, CA · On-site
$90K - $140K/yr
Overview We look for computational materials scientists excited about bridging the gap between ... science to help us develop a software framework for designing and discovering new advanced ...
Quick apply
???? Computational Materials Scientist ????
Walnut Creek, CA · On-site
$90K - $140K/yr
Overview We look for computational materials scientists excited about bridging the gap between ... science to help us develop a software framework for designing and discovering new advanced ...
Computational Materials Scientist
Walnut Creek, CA · On-site
$90K - $140K/yr
Overview We look for computational materials scientists excited about bridging the gap between ... Excellent knowledge of chemistry/materials science (Ph.D. from a tier-1 lab) * Prior work on ...
Computational Materials Scientist
Walnut Creek, CA · On-site
$90K - $140K/yr
Overview We look for computational materials scientists excited about bridging the gap between ... Excellent knowledge of chemistry/materials science (Ph.D. from a tier-1 lab) * Prior work on ...
AI Materials Research Engineer
Santa Clara, CA · On-site
$170K - $234K/yr
MS/PhD in Materials Science, Computational Materials Science, Physics, Chemical Engineering, or related field. * 2-5 years of experience in Computational Materials Science, Materials Informatics ...
AI Materials Research Engineer
Santa Clara, CA · On-site
$170K - $234K/yr
MS/PhD in Materials Science, Computational Materials Science, Physics, Chemical Engineering, or related field. * 2-5 years of experience in Computational Materials Science, Materials Informatics ...
Computational Materials Scientist
West Mifflin, PA · On-site
$86K - $134K/yr
D. in materials science or related field with experience in mesoscale simulation techniques and/or fracture mechanics Solid command of fortran, C++ and/or Python with experience in high performance ...
Computational Materials Scientist
West Mifflin, PA · On-site
$86K - $134K/yr
D. in materials science or related field with experience in mesoscale simulation techniques and/or fracture mechanics Solid command of fortran, C++ and/or Python with experience in high performance ...
Materials Science Domain Expert
$70 - $110/hr
PhD in Materials Science, Materials Engineering, or a closely related discipline such as Chemistry ... Computational materials science and simulation * Nanomaterials and advanced materials * Functional ...
Materials Science Domain Expert
$70 - $110/hr
PhD in Materials Science, Materials Engineering, or a closely related discipline such as Chemistry ... Computational materials science and simulation * Nanomaterials and advanced materials * Functional ...
Job Title Computational Materials and Chemistry, Postdoctoral Research Fellow Department Chemistry ... Related work has been published in leading international journals, including Science, Nature Energy ...
Job Title Computational Materials and Chemistry, Postdoctoral Research Fellow Department Chemistry ... Related work has been published in leading international journals, including Science, Nature Energy ...
Phd Computational Materials Science information
See salary details
$56.5K - $60.3K
7% of jobs
$60.3K - $64K
7% of jobs
$64K - $67.8K
2% of jobs
$67.8K - $71.6K
0% of jobs
$71.6K - $75.4K
2% of jobs
$77K is the 25th percentile. Wages below this are outliers.
$75.4K - $79.1K
15% of jobs
$79.1K - $82.9K
16% of jobs
The median wage is $83.2K / yr.
$82.9K - $86.7K
13% of jobs
$86.7K - $90.5K
6% of jobs
$92.2K is the 75th percentile. Wages above this are outliers.
$90.5K - $94.2K
16% of jobs
$94.2K - $98K
17% of jobs
$56.5K
$83.1K
$98K
How much do phd computational materials science jobs pay per year?
What can I do with a PhD in computational materials science?
What are popular job titles related to Phd Computational Materials Science jobs?
For Phd Computational Materials Science jobs, the most frequently searched job titles are:

Computational Materials Scientist - Postdoctoral Researcher
Livermore, CA
$123K/yr
Full-time
Retirement
Re-posted 26 days ago
Job description
Company Description
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Job Description
We have an opening for a Postdoctoral Researcher to work in the field of computational materials science and actively participate in research dedicated to the discovery of new structural alloys for extreme environments. You will be involved in research to implement methods for materials design and process development. You will be a creative force in the integration and application of thermodynamic and kinetic models into an alloy design framework (including material properties models) that uses numerical optimization methods to rapidly screen for promising compositions over vast multi-component phase spaces. This position is in the Actinide and Lanthanide Science group within the Materials Science Division.
In this role you will
- Independently develop multicomponent thermodynamic and kinetic databases for inorganic (metal, oxide, carbide, hydride, etc.) systems.
- Incorporate new Integrated Computational Materials Engineering (ICME) microstructure evolution models and resulting property predictions (ranging from analytical to machine learning surrogate models) in LLNL's Materials Acceleration Platform that is deployed on LLNL's High Performance Computing infrastructure.
- Develop uncertainty quantification (UQ) and propagation methods into ICME approaches.
- Interface with experimentalists in design of experiment and material development campaigns.
- 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 technical meetings.
- Perform other duties as assigned.
Qualifications
- Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
- PhD in materials science, metallurgy, condensed matter physics, applied math, or a closely related field.
- Experience and knowledge in at least three of the following areas: CALPHAD, microstructure and property modeling, uncertainty quantification and propagation, ICME, alloy design, design of experiments.
- Demonstrated ability to independently develop or make significant contributions to scientific research software.
- Experience with commercial (Thermo-Calc, Pandat, or FactSage) or open source (PyCalphad, Thermochimica, or OpenCalphad) computational thermodynamics software to perform CALPHAD database development.
- Experience in at least two of the following metallurgy topics: thermodynamics, phase stability, phase transformations, defect structures, solidification, or thermo-mechanical processing.
- 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 artificial intelligence (AI) and/or machine learning (ML) methods.
- Experience with algorithms relevant for materials design and discovery (Bayesian Optimization, black-box optimization, gradient-based optimization).
- Experience parameterizing or developing numerical methods for thermodynamic and/or kinetic modeling of phase transformations and microstructure evolution (e.g. CALPHAD, Kampmann-Wagner numerical method, phase field, cellular automata, Monte Carlo method, continuum models).
- Direct experience with alloy synthesis, processing, and/or characterization; or extensive experience collaborating with experimental colleagues.
Pay Range
$123,048 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.
Additional Information
All your information will be kept confidential according to EEO guidelines.
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.
Why Lawrence Livermore National Laboratory?
- Included in 2026 Best Places to Work by Glassdoor!
- Flexible Benefits Package
- 401(k)
- Relocation Assistance
- Education Reimbursement Program
- Flexible schedules (*depending on project needs)
- Our values - visit https://www.llnl.gov/inclusion/our-values
Security Clearance
This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.
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.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
Videos To Watch
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About LLNLLawrence Livermore National Laboratory
Sourced by ZipRecruiter
Industry
Clean energy services
Company size
5,001 - 10,000 Employees
Headquarters location
Livermore, CA, US