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EPRI · 5 hours ago

Energy Supply Student Internship: Laboratory Student Employee

Charlotte, NC

Internship

Onsite

Intern

$16/hr - $34/hr

EPRI is a leading organization in the Energy & Renewables industry, focusing on research and development across various power generation sources. The Energy Supply Student Internship provides students with hands-on experience in laboratory settings, allowing them to contribute to research in materials science, water treatment, digitalization, and cyber security.

Electrical DistributionElectronicsNon Profit

Comp. & Benefits

No H1B

Responsibilities

Execute small and well-defined testing programs in the chemistry, high temperature or heat treatment laboratories

Develop test plans, conduct testing, and document results under the guidance of technical staff

Conduct post-data analysis methods using machine learning, graphing software like OriginLab, Python and/or other relevant approaches for assessing large datasets

Operate optical and/or scanning electron microscopes

Follow and execute sample preparation procedures like sample labeling, sectioning, mounting, polishing, etching, etc

Conduct research searches, literature surveys, and document laboratory results using PowerPoint, Word, or other tools

Gain fundamental knowledge about water chemistry, coal combustion products and aqueous corrosion by conducting research through the application of established and emerging technologies, such as electro-chemical coagulation, membrane filtration, encapsulation, XRF spectrometry, and electrochemical techniques applied to corrosion

Develop software, codes, and scripts using industry standard coding languages

Work with cyber-physical equipment by using code to drive physical processes

Run cyber-attack scenarios on physical equipment and software platforms

Conduct a technical evaluation of sensor and payload technologies for UASs

Develop test plans and executing testing for single board computers and edge computing technologies

Develop training and cyber security hardening guidance for OT equipment

Develop interactive training using advanced technologies (AR/VR, virtual machines, lab equipment, etc.) for industry professionals

Researching equipment failure modes and effects analysis

Analysis of large datasets including the development of algorithms or tools to assess and/or filter the data and visual representation of the data use graphing software packages or using other means (python, etc.)