Temporary Graduate Research Assistant

Worcester Polytech; Maryland; On-site; USD 24,000 - 34,000; Part time

Benefits offered by this job

Health insurance

Paid time off

Retirement plan

Tuition assistance

Job summary

Worcester Polytechnic Institute (WPI) invites a motivated graduate student to join our Fire Protection Engineering team as a Temporary Graduate Research Assistant. The role centers on building a probabilistic framework for fire risk assessment using FireBench and related models.

Ideal candidates are current Master’s students in CS, Data Science, Robotics, or Mechanical Engineering with expertise in Python, probabilistic modeling, and geospatial analysis.

Qualifications

• Master’s candidate in CS, Data Science, Robotics, Mechanical Engineering or related field is required.
• Strong background in probabilistic modeling, data analysis, Python programming, and machine learning.

Responsibilities

• Develop a Probabilistic Framework for Fire Risk Assessment using FireBench and related models.
• Apply Monte Carlo simulation and Bayesian methods for uncertainty quantification.
• Process geospatial data and implement Python-based simulation pipelines.
• Collaborate with the research team and communicate results effectively.

Skills

Python

Machine Learning

Monte Carlo Simulation

GIS/Geospatial Tools

Education

Master’s candidate in CS/Data Science/Robotics/ME

Tools

FireBench

FARSITE

WRF-SFIRE

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)

Equality and Inclusion

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.

About WPI

Worcester Polytechnic Institute (WPI) is a vibrant and diverse community of extraordinary students, talented and dedicated staff, and world-renowned faculty. Along with its state-of-the-art research facilities, WPI offers competitive and comprehensive employee benefit programs, including paid time off, health insurance, life and long-term disability insurance, retirement savings plans, tuition assistance, flexible spending accounts, and a working environment that prioritizes mental health and well-being. It is a community committed to civility and respect—making inclusion and belonging a reality for everyone on its campus.