Physicist/Scientist III, College Grad - Adv Degree; Gloucester, MA)
Listed on 2026-09-01
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Engineering
Research Scientist, Materials Engineering -
Research/Development
Research Scientist
Who We Are
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry.
The work we do together advances the world’s technology.
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry.
The work we do together advances the world’s technology.
Salary:
$ - $
Location:
Gloucester,MA
You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.
Applied Materials Ion Implant Defect Science groupis seeking a Physicist/Scientist to join our team! We are a small, highly collaborative group working across multiple products to deepen our understanding of defect formation and transport mechanisms, enabling better defect control and improved yields in our semiconductor process tools.
Responsibilities- Conduct defect-related experiments, including tool preparation, interpreting designed experiment test plans, and shepherding wafers.
- Design relatively simple 2D/3D structures for tool testing, as needed.
- Analyze data from particle experiments using Python, MATLAB, Excel, JMP, and/or other analytical tools.
- Present conclusions and recommendations to the team and larger organization through graphs, summaries, and technical presentations.
- Contribute to the development of a defect library from a large volume of historical data, requiring strong attention to detail and organizational skills.
- Partner with scientists and engineers to define and execute effective designed experiments.
- PhD in Physics, Materials Science, Mechanical Engineering, Electrical Engineering, or a related field.
- Strong academic record, with a preferred cumulative GPA of 3.0 or above on a 4.0 scale.
- Knowledge of basic descriptive statistics and an interest in advanced statistical analysis.
- Experience with data analysis and visualization tools such as Python, MATLAB, JMP, Excel, or similar software.
- Experience with 2D/3D design software such as Solid Works, AutoCAD, or similar CAD tools.
- Strong organizational skills and attention to detail.
- Hands-on experimental or laboratory research experience.
- Strong written and verbal communication skills, including the ability to present technical findings to diverse audiences.
- Research or experience in semiconductor process development, plasma physics, vacuum systems, contamination control, or defect-related studies.
- Knowledge of Design of Experiments (DOE), statistical analysis, and data-driven problem solving.
- Experience working with large experimental datasets and developing data libraries, databases, or data management systems.
- Experience with scientific programming and data analysis using Python, MATLAB, JMP, or similar tools.
Full time
Employee Type:New College Grad
Travel:Yes, 10% of the Time
Relocation Eligible:Yes
The salary offered to a selected candidate will be based on multiple…
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