Temporary Graduate Research Assistant
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Before you apply
Salary$21/hr
LocationWorcester
Work moderemote · United States
Typetemporary
SeniorityEntry
DepartmentFire Protection Engineering
Company size1,001–5,000 people
PostedAug 24, 2026 · 2mo ago
Verified live18h ago
At a glanceSummarised by Seekless from the posting.
Experience with Monte Carlo simulation, Bayesian networks, or uncertainty quantification methods
Proficiency in Python for data processing, simulation pipelines, and automation (NumPy, pandas, SciPy, etc.)
Familiarity with ML frameworks (scikit-learn, TensorFlow, or PyTorch) for wildfire risk modeling and pattern recognition
Experience handling large geospatial datasets (e.g., NOAA weather data, LANDFIRE fuel maps, GIS tools)
Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively
A current Master’s candidate in Computer Science, Data Science, Robotics, Mechanical Engineering, or a related field
Familiarity with fire behavior modeling tools such as FireBench, FARSITE, or WRF-SFIRE is a plus
Skills
Python
NumPy
pandas
SciPy
scikit-learn
TensorFlow
PyTorch
FireBench
FARSITE
WRF-SFIRE
GIS
Monte Carlo simulation
Machine Learning
JOB TITLE
About the role
Temporary Graduate Research Assistant
LOCATION
Worcester
DEPARTMENT NAME
Fire Protection Engineering - JM
DIVISION NAME
About the company
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
Requirements
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.