$13 - $17.50/hr
As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ... Engineering, Physics, Computer Science or a related field, within 1 year of completion.
$13 - $17.50/hr
As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ... Engineering, Physics, Computer Science or a related field, within 1 year of completion.
Remote Nuclear Engineering Internships information
What is the difference between Remote Nuclear Engineering Internships vs Remote Mechanical Engineering Internships?
| Aspect | Remote Nuclear Engineering Internships | Remote Mechanical Engineering Internships |
|---|---|---|
| Required Credentials | Typically requires nuclear engineering coursework or related certifications | Requires mechanical engineering coursework or related certifications |
| Work Environment | Primarily research, design, and safety analysis in nuclear facilities or labs | Design, testing, and manufacturing in various industries like automotive or aerospace |
| Industry Usage | Used mainly in energy, defense, and research sectors |
Remote Nuclear Engineering Internships focus on nuclear-specific safety, design, and research, often requiring specialized knowledge. In contrast, Remote Mechanical Engineering Internships cover broader engineering principles applied across multiple industries. Both roles involve remote work but differ in industry focus and technical requirements.
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For Remote Nuclear Engineering Internships jobs in Oklahoma, the most frequently searched job titles are:
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What cities in Oklahoma are hiring for Remote Nuclear Engineering Internships jobs?
Cities in Oklahoma with the most Remote Nuclear Engineering Internships job openings:
$13 - $17.50/hr
Internship
Re-posted 10 days ago
Job description
If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.
Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.
Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.
Responsibilities
Leverage our Python-based platform to query, access, and manipulate aerial imagery
Utilize machine learning or other classification techniques to analyze aerial imagery
Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship
Requirements
Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.
Experience with Python & Numpy
Strong problem solving and critical thinking skills
Excellent written and verbal communication
Ability to work independently
Preferred skills
Experience with machine learning and image classification
Proficiency with the following Python packages: numpy, scikit-learn, keras
Experience working with aerial or satellite imagery and geospatial data.