Temporary Graduate Research Assistant

Requirements

• 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.

Benefits

Additional Information

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

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Company Intel

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