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Internship Seismic Data Processing Geophysicist Jobs in Washington

Interns gain hands-on experience in biomedical informatics, data science, AI, clinical research ... Application Process To be considered, candidates must submit: * Resume/CV * Statement of Interest ...

Bachelor's degree in Geoscience, Geophysics, Hydrogeology, and 15+ years of experience or master ... Experience examining seismic, electrical, or electromagnetics data to characterize underground ...

This internship offers a unique blend of responsibilities, allowing you to develop a diverse skill ... Supporting the implementation and maintenance of data management systems and processes * Cleaning ...

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Internship Seismic Data Processing Geophysicist information

What types of projects and responsibilities can I expect as an internship seismic data processing geophysicist?

As an Internship Seismic Data Processing Geophysicist, you will typically work alongside experienced geophysicists to process and analyze seismic data collected from field surveys. Your responsibilities may include using specialized software to clean, filter, and interpret raw seismic signals, assisting with quality control, and generating preliminary subsurface images. You’ll often participate in team meetings to discuss project progress and may be asked to present your findings. This role offers valuable hands-on experience in seismic workflows and provides opportunities to learn about current industry technologies and practices.

What does an internship seismic data processing geophysicist do?

An Internship Seismic Data Processing Geophysicist assists in analyzing and interpreting seismic data collected from geophysical surveys, primarily for oil, gas, and mineral exploration. Interns learn to use specialized software to process raw seismic signals and help convert them into subsurface images that geoscientists use to identify rock layers and potential resource locations. They often work as part of a team, supporting senior geophysicists by preparing data, generating reports, and troubleshooting data quality issues while gaining practical experience in geophysical methods and data analysis.

What is the difference between Internship Seismic Data Processing Geophysicist vs Seismic Data Processing Geophysicist?

AspectInternship Seismic Data Processing GeophysicistSeismic Data Processing Geophysicist
CredentialsTypically pursuing or recent graduate in geophysics or related fieldBachelor's or master's degree in geophysics or geology, with relevant certifications
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time professional role, independent project work
Employer & IndustryOil & gas companies, geophysical service firms, research institutionsOil & gas companies, seismic service providers, consulting firms

The main difference between an Internship Seismic Data Processing Geophysicist and a Seismic Data Processing Geophysicist lies in experience level and responsibilities. Interns are in training, gaining foundational skills, while full professionals handle complex data processing tasks independently. Both roles are essential in the industry, with internships serving as stepping stones to full employment.

What are the key skills and qualifications needed to thrive as an internship seismic data processing geophysicist?

To thrive as an Internship Seismic Data Processing Geophysicist, you need a solid background in geophysics or a related field, strong analytical abilities, and foundational knowledge of seismic data principles. Familiarity with industry-standard seismic processing software (such as ProMAX, Petrel, or SeisSpace) and basic programming skills in languages like Python or MATLAB are highly beneficial. Attention to detail, problem-solving aptitude, and effective communication are essential soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills ensure accurate seismic analysis and contribute to successful exploration and development projects within the geoscience industry.
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Smithsonian Institution rating

8.6

Company rating: 8.6 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

2nd of 29 rated museums


Job description

Job Summary:
The Smithsonian's National Zoo and Conservation Biology Institute is seeking a Data Management Specialist to support fossil collections in the Department of Paleobiology. This role involves collaborating with staff to enhance collections discoverability through data management and digitization initiatives.
Responsibilities:
• Participates in digitization projects for natural history collections by coordinating with stakeholders and team collaborators and contributing to project planning, workflow development, evaluation, and implementation and by performing data capture, transcription, data processing, and data migration activities, ensuring accuracy and consistency of provided information or information derived from primary sources such as object labels, field books, ledgers, publications, and research data.
• Applies established methodologies to capture and transform collections data into structured digital formats and assists in evaluating and improving digitization workflows, tools, and techniques, including text extraction, data parsing, and automated capture processes.
• Assists with the management, migration, and integration of data and digital assets into institutional systems of record (e.g. EMu, the NMNH collections information system, and DAMS, the Smithsonian Digital Asset Management System), ensuring accuracy, completeness, and consistency of records and assists with data mobilization and access initiatives.
• Supports data enhancement efforts, including georeferencing, alignment with external authority sources, integration and use of identifiers, implementation of data standards, and application of controlled vocabularies.
• Participates in tracking, documenting, and reporting project activities and outcomes, including specimen organization and movement in collections, ensuring accurate recordkeeping and accountability.
• Supports staff in developing data-oriented projects by advising on workflows, tools, and best practices, including equipment setup, digitization and data management activities, and proper use of NMNH data systems.
Qualifications:
Required:
• Master's or equivalent graduate degree, or 2 full years of progressively higher-level graduate education leading to such a degree from an accredited college or university and/or 3-5 years of related experience; or an equivalent combination of education and experience.
• Experience working in data-oriented roles in natural history collections.
• Experience in collections information management and digitization sufficient to support the capture, organization, enhancement, and dissemination of natural history collections data.
• Experience with digitization workflows, including transcription of primary source materials (e.g., specimen labels, field notes, and archival documentation), data parsing, and transformation of unstructured information into standardized digital formats.
• Experience with data enhancement techniques such as georeferencing, validation of taxonomic and stratigraphic concepts, application of identifiers, alignment with primary data standards (e.g. Darwin Core), and application of FAIR data principles.
• Knowledge of natural history collections practices and museum standards, particularly related to paleobiology, biodiversity, and geoscience materials.
• Knowledge of principles and practices related to museum collections documentation, metadata creation and management, and the use of collections information systems and digital asset management systems (e.g., EMu, DAMS) to store, manage, and retrieve data and associated digital files.
• Knowledge of institutional and international data standards and best practices, including controlled vocabularies, authority data sources, and structured data frameworks used in biodiversity and geoscience informatics.
• Experience with data quality management techniques, including validation, normalization, and reconciliation of inconsistent or incomplete data.
• Ability to work collaboratively and effectively with team members, stakeholders, and external partners in support of project goals.
• Knowledge of training and oral communication techniques, sufficient to provide technical guidance and training to staff, interns, and volunteers on data management procedures, systems use, and standards compliance.
Company:
The Smithsonian’s National Zoo and Conservation Biology Institute leads the Smithsonian's global efforts to save species, better understand ecosystems and train future generations of conservationists. Founded in 1889, the company is headquartered in Washington, DC, US, , with a team of 201-500 employees. The company is currently Growth Stage.

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