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Trainee Graduate Materials Science information

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$25.5K

$43.5K

$63.5K

How much do trainee graduate materials science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for trainee graduate materials science in the United States is $43,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $51,000.00 per year, depending on experience, location, and employer.

What does a trainee graduate materials scientist do?

A Trainee Graduate Materials Scientist works under the supervision of experienced scientists and engineers to study and develop materials used in various products and industries. Their tasks often include conducting experiments, analyzing material properties, preparing reports, and assisting in the development of new materials or improving existing ones. This role is typically an entry-level position for recent graduates and provides hands-on training in laboratory techniques, data analysis, and project management. Over time, trainees gain practical experience and knowledge that can lead to more specialized roles within materials science.

What types of projects and responsibilities can a trainee graduate materials scientist expect during their first year?

As a Trainee Graduate in Materials Science, you can expect to work on a variety of projects ranging from material characterization and testing to process optimization and research into new materials. Typically, your responsibilities will include conducting laboratory experiments, analyzing data, preparing technical reports, and collaborating with senior scientists and engineers. You’ll often work within multidisciplinary teams, providing support on ongoing projects and gradually taking on more independent tasks as you gain experience. This period is also a great opportunity to learn about the company’s products, manufacturing processes, and industry standards.

What are the key skills and qualifications needed to thrive as a trainee graduate materials scientist?

To thrive as a Trainee Graduate Materials Scientist, you need a solid grounding in materials science or a related engineering discipline, supported by a relevant degree. Familiarity with laboratory equipment, materials characterization techniques (such as SEM, XRD, or spectroscopy), and software like MATLAB or CAD is commonly expected. Analytical thinking, attention to detail, effective teamwork, and strong communication skills help you excel in collaborative research and problem-solving environments. These skills and qualities are essential for conducting accurate experiments, interpreting data, and contributing to the development of innovative materials solutions.

What is the difference between Trainee Graduate Materials Science vs Junior Materials Engineer?

AspectTrainee Graduate Materials ScienceJunior Materials Engineer
QualificationsTypically recent graduates with a degree in materials science or related fieldBachelor's or master's degree in materials engineering or science, with some practical experience
Work EnvironmentTraining programs, research labs, or entry-level roles in manufacturing or R&DDesign, testing, and analysis in manufacturing plants, labs, or R&D departments
ResponsibilitiesLearning, assisting in projects, data collectionConducting experiments, analyzing materials, supporting engineering projects

While both roles involve materials science knowledge, a Trainee Graduate Materials Science position focuses on training and skill development, whereas a Junior Materials Engineer involves more hands-on engineering tasks and project responsibilities.

What cities are hiring for Trainee Graduate Materials Science jobs?

Cities with the most Trainee Graduate Materials Science job openings:

What are the most commonly searched types of Graduate Materials Science jobs?

The most popular types of Graduate Materials Science jobs are:

What states have the most Trainee Graduate Materials Science jobs?

States with the most job openings for Trainee Graduate Materials Science jobs include:

Trainee Graduate Materials Science jobs near you
Infographic showing various Trainee Graduate Materials Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $43,530 per year, or $20.9 per hour.

Materials Science Ai Engineer

Cardinal Integrated Technologies Inc

Santa Clara, CA • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Cardinal Integrated Technologies Inc is seeking a Materials Science AI Engineer to join their team in developing and supporting materials discovery and design. The ideal candidate will focus on building AI-based solutions and collaborating with scientists and engineers to integrate analytics into core R&D workflows.
Responsibilities:
• Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems.
• Aggregate, process, transform and quality-control experimental and simulation data for modeling and analysis.
• Design, develop, and maintain data workflows to support materials informatics initiatives. Optimize data pipelines and model execution on parallel cloud systems (e.g., Azure, GCP, AWS).
• Collaborate with materials scientists, chemists, and software engineers to integrate analytics and predictive modeling into core R&D workflows.
• Document code, workflows, and best practices to support reproducible research.
• Apply AI and data analytics to optimize material synthesis and processing parameters in real-time, minimizing defects, improving consistency.
Qualifications:
Required:
• Strong proficiency in programming languages like Python and C++.
• Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with data cleansing, preprocessing, and feature engineering
• Graduate or undergraduate degree in Computer Science, Engineering, Applied Mathematics, or a related technical field.
• 2-4 years of work experience (depending on educational degree) in data science, AI, machine learning, or data engineering roles.
• A strong foundation in the principles of materials science is essential to understand the underlying science and set up meaningful problems for AI.
• Expert in Python and data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow or PyTorch).
• Expertise in use of cloud-based compute environments and tools for parallel or distributed computing.
• Strong problem-solving and communication skills.
Preferred:
• Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems
Company:
We are a company of IT professionals who passionately believe that good quality products & services are delivered by great resources. Founded in 2013, the company is headquartered in Monmouth Junction, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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