Temporary Graduate Research Assistant

Worcester Polytechnic Institute; Maryland; On-site; USD 42,000 - 46,000; Part time

Job summary

Worcester Polytechnic Institute invites applications for a Temporary Graduate Research Assistant to advance a probabilistic framework for fire risk assessment. The role emphasizes Python-based data processing, Monte Carlo simulations, and machine learning with geospatial data, leveraging tools like FireBench and GIS suites.

The candidate should be a current Master’s student in CS, data science, robotics, or mechanical engineering, with strong modeling and collaborative skills and the ability to

Qualifications

• 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 for wildfire risk modeling.
• Experience handling large geospatial datasets and GIS tools.
• Familiarity with fire behavior modeling tools such as FireBench, FARSITE, or WRF-SFIRE.
• Excellent problem-solving skills and ability to work independently or collaboratively.

Responsibilities

• Develop a Probabilistic Framework for Fire Risk Assessment using fire spread models.
• Implement Monte Carlo simulations and probabilistic analyses in Python.
• Explore data pipelines, model training, and validation for wildfire risk.
• Collaborate with Fire Protection Engineering team and external datasets.
• Document methods, reproduce analyses, and present results clearly.

Skills

Probabilistic Modeling

Python Programming

Machine Learning

Geospatial Data Analysis

Fire Spread Models

Problem Solving

Education

Master's candidate in Computer Science

Master's candidate in Data Science

Master's candidate in Robotics

Master's candidate in Mechanical Engineering

Tools

FireBench

FARSITE

WRF-SFIRE

NumPy

pandas

SciPy

TensorFlow

PyTorch

Job description

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

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.

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.