Temporary Graduate Research Assistant

Posted 9 Days Ago
Be an Early Applicant
Worcester, MA, USA
In-Office
21-21 Hourly
Entry level
Edtech • Professional Services
The Role
Join WPI Fire Protection Engineering to develop a probabilistic fire risk assessment framework using fire spread models. Work involves probabilistic modeling (Monte Carlo, Bayesian methods), Python-based data processing and simulation pipelines, machine learning for wildfire risk, and geospatial data analysis. Collaborate with the research team and apply GIS and fire behavior tools to analyze large datasets and automate simulation workflows.
Summary Generated by Built In

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. To apply please submit a cover letter and resume/cv

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.

Skills Required

  • Probabilistic modeling (Monte Carlo simulation, Bayesian networks, uncertainty quantification)
  • Python programming (NumPy, pandas, SciPy)
  • Machine learning (scikit-learn, TensorFlow, or PyTorch)
  • Geospatial data analysis and GIS tools (handling NOAA weather data, LANDFIRE fuel maps)
  • Familiarity with fire spread / behavior models (FireBench, FARSITE, WRF-SFIRE)
  • Current Master's candidate in Computer Science, Data Science, Robotics, Mechanical Engineering, or related field
  • Strong analytical thinking, accuracy, problem-solving, and time management
  • Collaboration and communication skills
  • Ability to learn quickly
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The Company
HQ: Worcester, MA
Year Founded: 1865

What We Do

Worcester Polytechnic Institute (WPI) is a university that offers undergraduate and graduate degree programs with a focus on STEM, business, and global engagement through project-based learning.

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