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Remote Materials Science Intern Jobs in Oklahoma

Strayos

$13 - $17.50/hr

If you love using innovative technology to tackle tough science problems and working in a fast ... As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Remote Materials Science Intern information

What is a remote materials science intern?

A Remote Materials Science Intern is a student or recent graduate who gains practical experience in materials science while working remotely, often from home or another location outside of a traditional office or lab. Their responsibilities may include conducting virtual experiments, analyzing data, assisting with research projects, and collaborating with team members online. Remote internships allow interns to develop technical and analytical skills in materials science, often using digital tools and platforms. These positions are typically offered by universities, research institutions, or companies in fields like engineering, manufacturing, and technology.

What types of projects does a remote materials science intern work on, and how is remote collaboration managed?

As a Remote Materials Science Intern, you can expect to engage in projects such as data analysis of experimental results, literature reviews, computational modeling, and assisting in the design of new material prototypes. Remote collaboration is commonly facilitated through digital platforms like Slack, Microsoft Teams, and shared cloud-based tools for document and data management. Regular virtual meetings and clear communication channels ensure that you remain integrated with your team, receive mentorship, and can contribute meaningfully to ongoing research. This structure allows you to develop both technical and professional skills while working closely with experienced scientists.

What skills and qualifications are needed to thrive as a remote materials science intern?

To thrive as a Remote Materials Science Intern, you need a solid background in materials science principles, data analysis, and laboratory fundamentals, typically supported by progress in a related undergraduate or graduate program. Familiarity with simulation software (such as MATLAB or COMSOL), data visualization tools, and online collaboration platforms is often expected. Strong communication, self-motivation, and time management are essential soft skills for effective remote work and team integration. These skills and qualities ensure you can contribute effectively to research projects, collaborate remotely, and deliver meaningful results in a virtual environment.

What is the difference between Remote Materials Science Intern vs Remote Materials Engineer?

AspectRemote Materials Science InternRemote Materials Engineer
Required CredentialsTypically pursuing or recently completed a degree in materials science or related fieldBachelor's or master's degree in materials science or engineering, with some roles requiring professional certifications
Work EnvironmentInternship setting, often part-time or project-based, with mentorshipFull-time remote role involving design, analysis, and testing of materials
Employer & Industry UsageUsed by research labs, universities, and companies for entry-level or training rolesUsed by manufacturing, aerospace, and tech companies for ongoing product development

The Remote Materials Science Intern position is an entry-level role focused on gaining practical experience, often during studies, while the Remote Materials Engineer is a full-time professional role involving advanced responsibilities in materials development and analysis.

What are popular job titles related to Remote Materials Science Intern jobs in Oklahoma?

For Remote Materials Science Intern jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Remote Materials Science Intern jobs in Oklahoma look for?

The top searched job categories for Remote Materials Science Intern jobs in Oklahoma are:

What cities in Oklahoma are hiring for Remote Materials Science Intern jobs?

Cities in Oklahoma with the most Remote Materials Science Intern job openings:

Remote Materials Science Intern jobs near you
Infographic showing various Remote Materials Science Intern job openings in Oklahoma as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Applied Scientist Internship

On-site, Remote

Strayos
See more jobs at Strayosexternal

$13 - $17.50/hr

Internship

Re-posted 4 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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