Temporary Graduate Research Assistant

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.

Responsibilities

• Develop probabilistic frameworks for fire risk assessment using fire spread models.
• Apply Monte Carlo simulation, Bayesian networks, or uncertainty quantification methods.
• Utilize Python for data processing, simulation pipelines, and automation (NumPy, pandas, SciPy, etc.).
• Implement machine learning frameworks (scikit-learn, TensorFlow, or PyTorch) for wildfire risk modeling and pattern recognition.
• Handle and analyze large geospatial datasets (e.g., NOAA weather data, LANDFIRE fuel maps, GIS tools).
• Work with fire behavior modeling tools such as FireBench, FARSITE, or WRF-SFIRE.

Requirements

• Current Master’s candidate in Computer Science, Data Science, Robotics, Mechanical Engineering, or a related field.
• Strong background in probabilistic modeling, data analysis, and Python programming.
• Experience with Monte Carlo simulation, Bayesian networks, or uncertainty quantification methods.
• Proficiency in Python for data processing and automation (NumPy, pandas, SciPy, etc.).
• Familiarity with machine learning frameworks (scikit-learn, TensorFlow, or PyTorch).
• Experience handling large geospatial datasets (e.g., NOAA weather data, LANDFIRE fuel maps, GIS tools).
• 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.

Skills

• Python
• Machine Learning
• Monte Carlo Simulation
• GIS/Geospatial Tools
• Ability to learn quickly
• Accuracy and attention to detail
• Analytical thinking
• Collaboration and communication
• Data analysis and probabilistic reasoning
• Open-mindedness
• Time management
• Verbal communication

Pay

Hourly rate is $21.00 based on experience.