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Computational Materials Science Jobs in Georgia (NOW HIRING)

D.) in Materials Science, Mechanical Engineering, or a related field, with more than ten years of experience in computational modeling. * Expertise in metallurgy and materials science, as well as ...

... and computational material scientists. * Establish and lead supporting partnerships with ... PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical ...

... and computational material scientists. * Establish and lead supporting partnerships with ... PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical ...

... and computational material scientists. * Establish and lead supporting partnerships with ... PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical ...

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Computational Materials Science information

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$119.6K

$141.7K

$161.6K

How much do computational materials science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for computational materials science in Georgia is $141,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,500.00 and $152,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computational materials scientist, and why are they important?

To thrive as a Computational Materials Scientist, you need a solid background in materials science, physics, or chemistry, often with a graduate degree and experience in scientific computing. Proficiency with simulation software (such as VASP, LAMMPS, or Quantum ESPRESSO), programming languages (like Python, C++, or Fortran), and familiarity with high-performance computing systems is typically required. Critical thinking, problem-solving abilities, and effective collaboration and communication skills set outstanding candidates apart. These competencies are crucial for designing, executing, and interpreting complex simulations and for translating computational insights into real-world materials innovations.

What is the difference between Computational Materials Science vs Materials Engineer?

AspectComputational Materials ScienceMaterials Engineer
Required CredentialsTypically requires a PhD or Master's in materials science, physics, or chemistryBachelor's or Master's in materials engineering or related field
Work EnvironmentResearch labs, universities, or R&D departments focusing on simulations and modelingManufacturing plants, design offices, or product development teams
Industry UsagePrimarily in research, academia, and advanced R&D projectsProduction, quality control, and product development in manufacturing industries
Common Search/ComparisonYesYes

Computational Materials Science focuses on using computer simulations and modeling to understand and predict material behavior, often requiring advanced degrees. Materials Engineers work on designing, testing, and improving materials in practical applications, usually with a bachelor's or master's degree. While both roles are integral to materials development, Computational Materials Science is more research-oriented, whereas Materials Engineering emphasizes application and production.

What are some common challenges faced by professionals in computational materials science, and how can they be addressed?

Professionals in Computational Materials Science often encounter challenges such as dealing with large datasets, managing the complexity of multi-scale simulations, and ensuring the accuracy of computational models. Addressing these challenges typically involves staying updated on the latest simulation software, collaborating closely with experimental teams to validate results, and developing strong programming and data analysis skills. Effective communication and interdisciplinary teamwork are also key, as projects often require input from chemists, physicists, and engineers to achieve successful outcomes.

What are computational materials science jobs?

Jobs in computational materials science include academic and research positions in university settings. You can also find positions in the manufacturing industry. As a research scientist in computational materials science, your duties are to develop hypotheses and test them using computational modeling software and a variety of investigatory tools, such as Monte Carlo algorithms, density function theory, phase field models, and finite element methods. Your responsibilities include gathering data, testing modeling software, collaborating with other researchers to develop tools that aid them in their research, and analyzing data to write reports, journal articles, or presentations for conferences.

What is computational materials science?

Computational materials science is a field that uses computer-based simulations and modeling to understand, predict, and design the properties and behaviors of materials. Researchers use mathematical models, algorithms, and high-performance computing to study materials at the atomic, molecular, or macroscopic level. This approach allows scientists to accelerate the discovery of new materials, optimize existing ones, and investigate phenomena that may be difficult or expensive to study experimentally.

Is computational chemistry a good career?

Computational chemistry is a valuable field within computational materials science, involving the use of computer simulations and modeling to study chemical systems. It offers opportunities in research, pharmaceuticals, and materials development, often requiring skills in programming, chemistry, and physics. The career can be rewarding with a strong job outlook, especially for those with advanced degrees and expertise in simulation tools and data analysis.
What are the most commonly searched types of Computational Materials Science jobs in Georgia? The most popular types of Computational Materials Science jobs in Georgia are:
What job categories do people searching Computational Materials Science jobs in Georgia look for? The top searched job categories for Computational Materials Science jobs in Georgia are:
What cities in Georgia are hiring for Computational Materials Science jobs? Cities in Georgia with the most Computational Materials Science job openings:
Infographic showing various Computational Materials Science job openings in Georgia as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $141,712 per year, or $68.1 per hour.

Lead Modeling Scientist

Novelis

Kennesaw, GA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Novelis rating

7.5

Company rating: 7.5 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

259th of 537 rated manufacturers


Job description

Novelis is one of the world leaders in aluminum recycling and rolling and a leading sustainable aluminum solutions provider. Driven by our purpose of shaping a sustainable world together, we work alongside our customers to provide innovative solutions to the aerospace, automotive, beverage packaging and specialty markets. Headquartered in Atlanta, Georgia, Novelis has approximately 13,000 employees in 32 operating facilities on 4 continents.


The Lead Modeling Scientist has a key role in advancing Novelis’ capabilities in computational modeling, with the primary objective of linking aluminum sheet process conditions, microstructure and texture evolution, and material properties. This work will support faster product innovation across various markets in which Novelis operates, as well as improved plant performance. The role requires an unique combination of deep expertise in metallurgy and materials science, coupled with advanced modeling proficiency.

The position focuses on predictive modeling, which is integrated with experimental validation and data analytics to optimize manufacturing processes for aluminum products. As a key member of Novelis’ Americas R&D organization, the Lead Modeling Scientist will spearhead the development and deployment of multi-physics, multi-scale materials modeling and physics-guided AI modeling capabilities. These efforts are critical for accelerating the development of sustainable products and processes.

Central to the role is bridging microstructural length scales as applied to Novelis’ products—including sheet and plate—and to the company’s manufacturing processes such as casting, rolling, and heat treatments. The position will also focus on developing a deeper understanding of the relationships among alloy chemistry, thermomechanical processing, microstructure, properties, and overall product performance.

Responsibilities:
  • Develop and maintain Integrated Computational Materials Engineering (ICME) models that connect process parameters, microstructure, and properties for flat aluminum sheet products, including processes such as homogenization, heat treatment, precipitation, recrystallization, texture development and grain growth.
  • Design and implement multi-scale models to link process parameters with microstructure and properties for casting, rolling, heat treatment, coating, CASH, batch annealing and related processes relative to Flat Rolled Aluminum Products.
  • Constitutive behavior models: Flow stress, work hardening, strain rate sensitivity
  • Formability & failure prediction models: FLD, FLC, earing, spring-back, bendability
  • Create and refine process simulation tools using methods such as finite element, finite difference, cellular automata, and phase-field modeling to predict thermal and mechanical behavior.
  • Integrate modeling results with experimental characterization techniques (including SEM, EBSD, XRD, DSC) and plant data to validate predictions and continually improve model accuracy.
  • Build thermodynamic and kinetic models using tools like Thermo-Calc, DICTRA, TC-Prisma, and Pandat to support alloy design and process optimization.
  • Lead end-to-end modeling projects, from scoping and model development through validation and deployment, with the goal of improving or innovating aluminum sheet products and processes across beverage packaging, automotive, specialties, and aerospace markets.
  • Automate workflows for predicting microstructure-property relationships and incorporate feedback from plant trials to enhance model robustness.
  • Collaborate with plant engineers and R&D teams to apply models for troubleshooting and improving productivity, recovery, and quality.
  • Document methodologies and results in technical reports and contribute to intellectual property through invention disclosures and patents.
Required Qualifications
  • Advanced degree (M.S. or Ph.D.) in Materials Science, Mechanical Engineering, or a related field, with more than ten years of experience in computational modeling.
  • Expertise in metallurgy and materials science, as well as process and microstructure modeling for metallic systems, especially aluminum alloys. Flat rolled aluminum products experience is largely preferred
  • Proficiency in modeling software such as Thermo-Calc, DICTRA, TC-Prisma, and Pandat, and in numerical methods including finite element, finite difference, cellular automata, and phase-field modeling.
  • Programming skills in MATLAB, FORTRAN, and C/C++, along with proficiency in statistical analysis tools like JMP and R.
  • Strong understanding of metallurgical principles and characterization techniques.
  • Excellent technical communication and project management skills.
  • Proven track record of solving plant issues through modeling with measurable business impact.
  • Experience deploying predictive models in production environments to improve throughput and quality.
Preferred Qualifications
  • Machine Learning for materials: Property prediction, Process window optimization, Defect classification
  • Digital twin development: End-to-end process-to-property simulation
  • High-performance computing (HPC): Parallel simulations, cloud computing
  • Data pipelines & model deployment: MLOps, version control, model governance
  • DOE (Design of Experiments)
  • Multi-variable regression & sensitivity analysis
  • Model calibration & uncertainty quantification

Please note that we are unable to provide visa sponsorship for this position. Candidates must be legally authorized to work in the United States without the need for current or future sponsorship

What We Offer:

Novelis benefits say a lot about how we care for each other. Our employees and their families have many different needs. As a result, our benefits offer choices on many levels and are high in quality, competitive in the marketplace, and affordable. These are a few of the benefits we offer to support you and your family’s well-being:

  • Medical, dental and vision insurance
  • Health savings accounts – Company Funded Health Savings Account (HSA) and Health Reimbursement Account (HRA)
  • Flexible Spending Account (FSA)
  • Company-paid basic life insurance and Additional voluntary life coverage
  • Paid vacation and competitive personal time off
  • 401(k) savings plan with company match
  • Retiree Medical Plans – medical and prescription drug coverage through Novelis sponsored Retiree Health Access
  • Retirement Savings Account
  • Employee assistance programs – available 24/7 to you and your family
  • Wellness and Work Life Support - career development and educational assistance
Disclaimer:

We encourage all potential candidates to follow the protocols below and to be diligent when sharing any personal information:

  • Check the job posting is live and valid via our careers page: Careers - Novelis
  • Verify any communication with us by contacting our talent team at Careers – Novelis

Novelis’ Global Research and Technology Center located in Kennesaw Georgia within the greater Atlanta metropolitan area is a cutting-edge full-service research and technology hub that employs approximately 200 people including world-class engineers metallurgists chemists scientists technologists and technicians. The facility includes state-of-the-art lab equipment and a diverse mix of product pilot lines that bring innovative solutions to customers in the automotive beverage can and specialty markets. Kennesaw provides a diverse and family-friendly place to live with countless museums cultural opportunities and educational institutions. Novelis is committed to the Kennesaw community and supports a number of local charitable organizations including Habitat for Humanity as well as FIRST Robotics aimed at encouraging young people to pursue the Science Technology Engineering and Mathematics (STEM) fields in order to spur the next generation of scientists and innovators.

Novelis recognizes its talented and diverse workforce as a key competitive advantage. Novelis provides equal employment opportunities to all employees and applicants. All terms and conditions of employment at Novelis including recruiting hiring placement promotion termination layoffs recalls transfers leaves of absence compensation and training are without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal provincial or local laws.


We encourage all potential candidates to follow the protocols below and to be diligent when sharing any personal information:
1. Check the job posting is live and valid via our careers page: Careers - Novelis
2. Verify any communication with us by contacting our talent team at Careers - Novelis


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