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Internship Remote Rf Engineer Jobs in Oklahoma (NOW HIRING)

Strayos

$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.

GDH

D365 Developer

Tulsa, OK · On-site +1

$30 - $45/hr

Required Qualifications * 1-3 years of software development experience or equivalent internship ... remote work.

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Internship Remote Rf Engineer information

What are the key skills and qualifications needed to thrive as an Internship Remote RF Engineer, and why are they important?

To excel as an Internship Remote RF Engineer, you need a solid understanding of radio frequency (RF) principles, basic circuit design, and a relevant engineering degree or coursework in electrical or telecommunications engineering. Familiarity with RF simulation tools like CST, HFSS, or ADS, as well as experience with measurement equipment such as spectrum analyzers and network analyzers, is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns work well in remote teams and contribute to technical discussions. These competencies are crucial for ensuring accurate RF system design, troubleshooting, and successful collaboration in a virtual work environment.

What types of projects and responsibilities can I expect as a remote RF Engineer intern?

As a remote RF Engineer intern, you will typically work on tasks such as assisting with the design, simulation, and testing of radio frequency circuits and systems. You may be involved in analyzing signal performance, troubleshooting issues, and supporting documentation for ongoing projects. Collaboration with senior engineers and cross-functional teams is common, often through virtual meetings and shared platforms. This exposure provides valuable hands-on experience and insights into the workflow of RF engineering in a professional setting.

What is a remote RF engineer internship?

A remote RF (Radio Frequency) engineer internship is a training position where interns work from a remote location to assist in designing, analyzing, and testing wireless communication systems and devices. Interns may work on tasks such as signal propagation analysis, antenna design, and troubleshooting RF circuits, all while collaborating with teams virtually. These internships provide practical experience with industry-standard software tools and exposure to telecommunication technologies, preparing students for a career in RF engineering.

What is the difference between Internship Remote Rf Engineer vs Rf Engineer?

AspectInternship Remote Rf EngineerRf Engineer
CredentialsTypically pursuing or recently completed relevant degreeBachelor's or Master's in Electrical Engineering or related field, with experience
Work EnvironmentRemote, internship setting, limited responsibilitiesOn-site or hybrid, full responsibilities in RF design and testing
Employer UsageInternship programs in telecom and electronics companiesFull-time roles in telecom, wireless, and electronics industries

The main difference is that an Internship Remote Rf Engineer is a temporary, entry-level position aimed at gaining experience, often remote, while an Rf Engineer is a full-time professional responsible for RF system design, testing, and optimization in a more permanent capacity.

What are popular job titles related to Internship Remote Rf Engineer jobs in Oklahoma? For Internship Remote Rf Engineer jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Internship Remote Rf Engineer jobs in Oklahoma look for? The top searched job categories for Internship Remote Rf Engineer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Internship Remote Rf Engineer jobs? Cities in Oklahoma with the most Internship Remote Rf Engineer job openings:
Internship Remote Rf Engineer jobs near you

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Other

Posted 22 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.

Employment Type: INTERN

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