Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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Next Phase Solutions and Services, Inc. 312 - Atmospheric Aerosol Scientist - NOT A DATA SCIENCE ROLE in Columbia, Maryland

312 - Atmospheric Aerosol Scientist - NOT A DATA SCIENCE ROLE We are seeking a talented and motivated Atmospheric Scientist to join our dynamic team focused on developing and validating atmospheric aerosol algorithms and products. In this role, you will play a crucial part in advancing our understanding of aerosol processes, improving algorithms, and ensuring the accuracy and reliability of our aerosol-related products. Work as part of a team supporting NOAA scientists in developing, maintaining, and validating algorithms for sensing aerosols, water vapor, and trace gases from satellites. Trace gases may include NO2, SO2, and O3; sensors may include polar and geostationary NOAA and NOAA-partner satellites. Responsibilities: Algorithm Development:

  • Collaborate with the research and development team to contribute to designing, implementing, and improving aerosol algorithms.
  • Conduct thorough analyses of aerosol-related data sets to identify areas for algorithm enhancement.

Validation and Testing:

  • Develop and implement validation plans to assess the performance and accuracy of aerosol algorithms.
  • Conduct rigorous testing and validation procedures to ensure the reliability of developed algorithms and products.

Data Analysis:

  • Analyze aerosol data sets, draw meaningful insights, and provide recommendations for algorithm optimization.
  • Work closely with data scientists to interpret results and contribute to scientific publications.

Technical Support:

  • Provide technical support to internal and external stakeholders regarding aerosol products and algorithms.
  • Collaborate with cross-functional teams to address user inquiries and troubleshoot technical issues.

Documentation:

  • Prepare comprehensive documentation for developed algorithms, validation processes, and product specifications.
  • Ensure that documentation is clear, accurate, and accessible to relevant stakeholders.

If you are passionate about advancing aerosol research, contributing to algorithm development, and ensuring the accuracy of scientific products, we invite you to apply for this exciting opportunity. Join us in making a meaningful impact on our understanding of aerosol processes and their implications. Contingency Note: This position is contingent upon the successful award of a contract. While we are optimistic about the outcome, the final confirmation of the position is subject to contract approval. Next Phase is a member of the incumbent team. Qualifications:

Bachelor's, Master's, or Ph.D. in Atmospheric Science (PREFERRED), Earth Science, Geophysics, or Environmental Science.

Proven experience in aerosol research, algorithm development, and validation.

Proficiency in programming languages such as Python, MATLAB, or similar for data analysis.

Strong analytical and problem-solving skills.

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