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Hourly Noaa Gis Jobs (NOW HIRING)

AIS is looking for an Oracle Application Developer/DBA to support NOAA's SEFSC. Primary Function ... Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending ...

$70K - $85K/yr

... NOAA. * Develop written technical reports and peer-reviewed publications documenting project ... Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending ...

... NOAA. * Develop written technical reports and peer-reviewed publications documenting project ... Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending ...

Hourly Noaa Gis information

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$35K

$70.3K

$107.5K

How much do hourly noaa gis jobs pay per year?

As of Sep 9, 2026, the average yearly pay for hourly noaa gis in the United States is $70,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $83,000.00 per year, depending on experience, location, and employer.

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Temporary Graduate Research Assistant

Worcester, MA โ€ข On-site

$21/hr

Part-time

Posted 15 days ago


Job description

JOB TITLE

Temporary Graduate Research Assistant

LOCATION

Worcester

DEPARTMENT NAME

Fire Protection Engineering - JM

DIVISION NAME

Worcester Polytechnic Institute - WPI

JOB DESCRIPTION SUMMARY

We are seeking a highly motivated graduate student to join our research team in the Fire Protection Engineering Department at WPI. The position is focused on developing a Probabilistic Framework for Fire Risk Assessment using fire spread models in FireBench. The role requires a strong background in probabilistic modeling, data analysis, Python programming, and machine learning.

JOB DESCRIPTION

Skills and Experience:

  • Probabilistic Modeling: Experience with Monte Carlo simulation, Bayesian networks, or uncertainty quantification methods.
  • Python Programming: Proficiency in Python for data processing, simulation pipelines, and automation (NumPy, pandas, SciPy, etc.).
  • Machine Learning: Familiarity with ML frameworks (scikit-learn, TensorFlow, or PyTorch) for wildfire risk modeling and pattern recognition.
  • Geospatial Data Analysis: Experience handling large geospatial datasets (e.g., NOAA weather data, LANDFIRE fuel maps, GIS tools).
  • Fire Spread Models: Familiarity with fire behavior modeling tools such as FireBench, FARSITE, or WRF-SFIRE is a plus.
  • Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively.

Required Skills:

  • Python, Machine Learning, Monte Carlo Simulation, GIS/Geospatial Tools
  • Learning Outcomes Ability to Learn Quickly
  • Accuracy, Accurate Listening, Analytical Thinking
  • Collaboration, Communication, Data Analysis, Probabilistic Reasoning
  • Open Minded, Time Management, Verbal Communication

Job Requirements:

  • A current Master's candidate in Computer Science, Data Science, Robotics, Mechanical Engineering, or a related field is required.

Compensation:

Hourly rate is $21.00 based on experience. To apply please submit a cover letter and resume/cv

FLSA STATUS

United States of America (Non-Exempt)

WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status,or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making.It is committed to maintaining a campus environment free of harassment and discrimination.