Temporary Graduate Research Assistant
WPI•Worcester, MA
•Onsite
About The Position
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.
Requirements
- A current Master’s candidate in Computer Science, Data Science, Robotics, Mechanical Engineering, or a related field is required.
- 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).
- Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively.
Nice To Haves
- Fire Spread Models: Familiarity with fire behavior modeling tools such as FireBench, FARSITE, or WRF-SFIRE is a plus.
Responsibilities
- Developing a Probabilistic Framework for Fire Risk Assessment using fire spread models in FireBench.
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What This Job Offers
Career Level
Entry Level
