JOB TITLE
Temporary Graduate Research AssistantLOCATION
WorcesterDEPARTMENT NAME
Fire Protection Engineering - JMDIVISION NAME
Worcester Polytechnic Institute - WPIJOB 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
- Current Master's candidate in Computer Science, Data Science, Robotics, Mechanical Engineering, or a related field
- Python programming proficiency for data processing, simulation pipelines, and automation
- Experience with probabilistic modeling, including Monte Carlo simulation, Bayesian networks, or uncertainty quantification
- Machine learning familiarity using scikit-learn, TensorFlow, or PyTorch
- Experience handling large geospatial datasets and GIS tools
- Data analysis and probabilistic reasoning skills
- Strong problem-solving skills and attention to detail
- Ability to work independently and collaboratively
- Familiarity with FireBench, FARSITE, or WRF-SFIRE
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.
