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Part Time Graduate Gis Analyst Jobs (NOW HIRING)

Canyons School District

$89.24/hr

Part-time faculty positions are as needed positions and do not accrue rights to tenure. Part-time ... graduate course work in at least one other constituent discipline. Disciplines include: Earth ...

Arcadis

GIS Specialist

Asheville, NC · On-site

... mid-level part time cultural resources specialist with Geographic Information System (GIS ... For this role, the successful candidate will map, manage relevant information, and analyze ...

Arcadis

GIS Specialist

Asheville, NC · On-site

... mid-level part time cultural resources specialist with Geographic Information System (GIS ... For this role, the successful candidate will map, manage relevant information, and analyze ...

City of Anaheim

Administrative Intern II - GIS

Anaheim, CA · On-site

$16.90 - $20.04/hr

Note: This is a part time position averaging 20 hours per week, but no minimum number of weekly ... Qualifications Candidates must be currently enrolled in upper division or graduate level courses in ...

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How much do part time graduate gis analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for part time graduate gis analyst in the United States is $75,010.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $84,500.00 per year, depending on experience, location, and employer.

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Temporary Graduate Research Assistant

Worcester, MA • On-site

Worcester Polytech
See more jobs at Worcester Polytechexternal

$21/hr

Part-time

Posted 14 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.

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