Temporary Graduate Research Assistant

Worcester Polytechnic Institute • Worcester, MA

5d • 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

• Current Master’s candidate in Computer Science, Data Science, Robotics, Mechanical Engineering, or a related field.
• 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.
• Ability to work independently and collaboratively.
• Python
• Machine Learning
• Monte Carlo Simulation
• GIS/Geospatial Tools
• Ability to Learn Quickly
• Accuracy
• Accurate Listening
• Analytical Thinking
• Collaboration
• Communication
• Data Analysis
• Probabilistic Reasoning
• Open Minded
• Time Management
• Verbal Communication

Nice To Haves

• Experience with Monte Carlo simulation, Bayesian networks, or uncertainty quantification methods.
• Familiarity with fire behavior modeling tools such as FireBench, FARSITE, or WRF-SFIRE.

Responsibilities

• Developing a Probabilistic Framework for Fire Risk Assessment using fire spread models in FireBench.
• Conducting data analysis.
• Utilizing Python programming for data processing, simulation pipelines, and automation.
• Applying machine learning frameworks for wildfire risk modeling and pattern recognition.
• Handling large geospatial datasets.
• Working independently and collaboratively.

What This Job Offers

• Career Level: Entry Level