Hourly Data Analyst

Hourly Data AnalystThe Hourly Data Analyst (part-time) will play a key role in REACH project at the Center for Natural Resources (CNR). This position will evaluate machine learning approaches and implement techniques for deep learning as applied to various storms over different watersheds.Essential Functions:Evaluate various machine learning approaches.Implement various techniques for deep learning as applied to various storms over different watersheds.Forecast based on easily measurable quantities the water level and streamflows at various locations.Provide progress reports to Dr. Boufadel.Performs other related duties as assigned or requested by the Center DirectorPrerequisite Qualifications:PhD in Computer Science, Data Science or equivalent or related disciplines.Experience working with research centers, government-funded environmental projects (e.g., NJDEP, EPA, NOAA).Experience with application of machine learning in Environmental projects.Experience collaborating with scientists, engineers, and community partners on outreach initiatives.Preferred Qualifications:Ability to work independently from the Center Director, and to communicate effectively using emails.Effective communication and writing skills.Compensation: $25-$50/hourAt the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university an equivalent combination of education and experience specifically preparing the candidate for success in the position.Range: Hourly EmployeesNJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, or other items.FLSA: Non-ExemptTime Type: Part timePay Rate: HourlyAdditional Information:As an EEO employer NJIT is committed to building a diverse and inclusive teaching, research, and working environment and strongly encourages applications from individuals with disabilities, minorities, veterans, and women. New Jersey Institute of Technology