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Remote Ocean Modeling Jobs in Virginia (NOW HIRING)

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Remote Ocean Modeling information

What are the key skills and qualifications needed to thrive as a Remote Ocean Modeler, and why are they important?

To thrive as a Remote Ocean Modeler, you need a solid background in oceanography, mathematics, and computational modeling, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python, MATLAB, or Fortran), high-performance computing, and specialized modeling software like ROMS or HYCOM is typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills distinguish top performers in this role. These competencies are vital for accurately simulating ocean dynamics, interpreting complex data, and collaborating with multidisciplinary teams in remote settings.

What is remote ocean modeling?

Remote ocean modeling is the practice of using computer simulations and mathematical models to study and predict ocean behaviors—such as currents, temperature, and tides—from a location that is not physically at sea. Professionals in this field analyze data remotely, often leveraging satellite observations, remote sensors, and advanced software to create accurate models of oceanic processes. These models are crucial for understanding climate change, supporting marine navigation, managing fisheries, and forecasting weather events. Remote ocean modeling enables researchers and organizations to monitor and assess the health of the oceans without the need for constant on-site measurements.

What are some common challenges faced by remote ocean modelers, and how can they be addressed?

Remote ocean modelers often encounter challenges such as coordinating with multidisciplinary teams across different time zones, managing large datasets, and ensuring reliable computational resources from offsite locations. To address these, it's important to establish clear communication protocols, utilize collaborative platforms for code and data sharing, and have access to secure, high-performance computing environments. Proactively scheduling regular virtual meetings and leveraging cloud-based modeling tools can also help maintain workflow efficiency and team cohesion.

What is the difference between Remote Ocean Modeling vs Remote Marine Data Analyst?

AspectRemote Ocean ModelingRemote Marine Data Analyst
Required CredentialsDegree in Oceanography, Marine Science, or related fields; experience with modeling softwareDegree in Marine Science, Data Science, or related; proficiency in data analysis tools
Work EnvironmentResearch institutions, environmental agencies, or private companies; focus on modeling simulationsData-focused roles in research, consulting, or government agencies; emphasis on data interpretation
Industry UsageUsed for climate prediction, ocean circulation studies, and environmental impact assessmentsApplied in marine resource management, policy advising, and environmental monitoring

Remote Ocean Modeling involves creating simulations of ocean processes using specialized software, primarily for research and environmental applications. In contrast, Remote Marine Data Analysts focus on analyzing marine data sets to derive insights and support decision-making. Both roles require strong analytical skills and relevant scientific backgrounds but differ in their core activities and software tools used.

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Remote Ocean Modeling jobs near you
Oceanographic Lidar Remote Sensing and Field Campaign Internship

Oceanographic Lidar Remote Sensing and Field Campaign Internship

Analytical Mechanics Associates

Hampton, VA • On-site, Remote

Part-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Job Description:

We are seeking a highly motivated summer intern to join our team in advancing ocean remote sensing technologies. This internship offers a unique opportunity to work at the intersection of active remote sensing, mathematical modeling, and oceanography. The successful candidate will focus on simulating and analyzing lidar ocean measurements to better understand underwater optical properties, while also providing critical support for upcoming multi-platform field campaigns. This work will directly contribute to our understanding of marine ecosystems and help bridge the gap between in-situ active sensors and global satellite observations, particularly in support of the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission.

This parttime internship lasts up to one year and includes about 10 hours of work per week, offering steady involvement in ongoing projects and meaningful skill development.

Key Responsibilities:

  • Simulation Development:Utilize Monte Carlo programming techniques to develop and refine lidar simulations, modeling the complex propagation of light in the ocean under various environmental and physical conditions.

  • Lidar Data Analysis:Analyze active lidar ocean measurements, with a specific focus on extracting and interpreting backscatter, attenuation, and depolarization data.

  • Field Campaign Support:Actively participate in the planning, logistical preparation, and execution of upcoming field campaigns to gather validation data. Campaigns will involve coordinated aircraft and ship-based deployments, with the primary focus on shipboard operations.

Desired Qualifications & Skills:
  • Quantitative & Coding Proficiency:Strong mathematical foundation and excellent programming skills, with a specific interest or background in developing Monte Carlo simulations.

  • Technical Knowledge:A working knowledge of (or strong academic background related to) using active lidar systems for ocean remote sensing applications.

  • Satellite Mission Familiarity:An understanding of the measurements and capabilities of satellite remote sensors, with particular emphasis on the NASA PACE mission and its ocean color/aerosol objectives.

  • Academic Background:Pursuing a degree in Physics, Mathematics, Computer Science, Engineering, Oceanography, Atmospheric Science, or a related STEM field.

Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.

AMA is an Affirmative Action/Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.

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