Computational Research Assistant; Seasonal

Computational Research Assistant (Seasonal)

Rutgers, The State University of New Jersey, is a leading national research university and the State of New Jersey's preeminent, comprehensive public institution of higher education. As one of the largest employers in the State of New Jersey, Rutgers University is committed not only to the students and the State that we serve, but also to the faculty and staff who work on our campuses.

For two consecutive years, Rutgers is ranked on Forbes' list of America's Best Large Employers. Rutgers holds #64 of 500 employers and is the #1 New Jersey employer on the publication's 2023 list. Rutgers' commitment to its employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation's military veterans, and ensuring accessibility and accommodation for individuals with disabilities.

Rutgers, The State University of New Jersey is seeking a Computational Research Assistant (Seasonal) for the Department of Civil and Environmental Engineering within the School of Engineering. Among the key duties of the position are the following:
Leverages advanced AI/ML to build predictive models for the environmental impacts of hydroclimate extremes, such as severe storms, droughts, and heatwaves. Manages Big Data analytics involving remote sensing and climate/hydrologic model outputs to develop new predictive workflows. Maintains the codebase on Git Hub and present progress at weekly group meetings.

FLSA
- Nonexempt

Salary Details - $23 per hour

Benefits
- Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:
Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options Employee and dependent educational benefits (when applicable) Life insurance coverage Employee discount programs

Position Status
- Part Time

Working Hours - 20 - 40 hours per week

Qualifications

Minimum Education and Experience
- Bachelor's degree in Science, Math, Engineering, or a related scientific/technical discipline, or an equivalent combination of education and/or relevant research study experience carrying out research protocols and tests, or other technical work may be substituted for the degree.

Certifications/Licenses

Required Knowledge, Skills, and Abilities
- Strong background in AI/ML. Proficiency in Python and data analysis. Excellent communication skills.

Preferred Qualifications
- Previous work experience in the field.