JOB TITLE

LOCATION

DEPARTMENT NAME

DIVISION NAME

JOB DESCRIPTION SUMMARY

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

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.