Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible ® a Better Future. At Applied, we prioritize your well-being and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. 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 Implantation Business Unit is searching for an intern to join our team in Summer 2025! Our group works on developing plasma processing tools in the area of ion implantation, dry etch, deposition and material modification. The position will entail the following: Performnumerical investigations of elements of semiconductor processing tools using commercial and in-house software. Investigate applicability of new high performance computationaltoolsfor plasma processing modeling. Develop data processing techniques. Analyze obtained results, draw scientific conclusions, and present at internal meetings. Requirements Student must be pursuing a Master's or Doctorate program in Electrical Engineering, Mechanical Engineering, Physics, Chemistry, or a related field Student must be in good academic standing at their university, with a preferred GPA of 3.0 or above on a 4.0 scale Experience in plasmamodeling and numerical techniques preferred. Quick learner
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