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Postdoctoral Research Associate

Lensa

Newark (NJ)

On-site

USD 62,000

Full time

2 days ago
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Job summary

A leading educational institution is seeking a Postdoctoral Research Associate to model water flow and sediment transport. This role involves advanced simulations and the application of Machine Learning, aiming to improve understanding of flood dynamics. Suitable for candidates holding a PhD in relevant fields, offering a competitive salary and opportunities for impactful research.

Benefits

Comprehensive health benefits

Qualifications

  • PhD required with strong understanding of hydraulics and mathematics.
  • Ability to conduct numerical simulations using existing or developed programs.
  • Demonstrated ability to write articles for publication in top journals.

Responsibilities

  • Conduct simulations for water flow and sediment transport in rivers.
  • Utilize Machine Learning to find causality between flood levels and rainfall.
  • Validate numerical results by comparison to experimental results.

Skills

Numerical simulations
Machine Learning
Artificial Intelligence
Communication skills

Education

PhD in Hydrology, Hydraulics, or Civil Engineering

Job description

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Title

Postdoctoral Research Associate

Department

Center for Natural Resources

Reports To

Distinguished Professor, Civil & Environmental Engineering

Position Type

Staff

Position Summary

The Center for Natural Resources (CNR) at the New Jersey Institute of Technology (NJIT) http://cnr.njit.edu has an immediate opening for multiple postdoc positions in the area of modeling water flow in rivers and estuaries as subjected to rain and coastal flooding. The position is offered on the Main Campus of NJIT in Newark, 20 minutes from downtown New York City. The salary is very competitive.

Essential Functions

The research position requires conducting simulations for water flow and sediment transport in rivers under steady state and transient (flooding, drying) conditions. Machine Learning and Artificial Intelligence will be utilized to find causality between flood levels and rainfall. In many cases, the numerical results would need to be validated by comparison to experimental results using advanced parameter estimation techniques.

Prerequisite Qualifications

  • The qualified candidate would have a PhD in Hydrology, Hydraulics, or Civil Engineering, and be able to conduct numerical simulations using existing programs or programs that they develop. They must have a strong understanding of hydraulics and mathematics (especially for ML/AI).
  • The applicant needs to have a demonstrated ability in writing articles for publication in top journals, to possess excellent communication skills to mentor graduate students, and to interact with scientists/engineers in other fields.
  • At 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.

Bargaining Unit

AFT-UCAN

Salary Information

In compliance with the NJ Pay Transparency Law, the negotiated starting annual salary range for this position is $61,008.00(USD). NJIT 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.

To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page https://hr.njit.edu/health-benefits .

Flsa

Exempt

Full-Time

Special Instructions To Applicants

  • Interested applicants are urged to submit their application in one pdf file that contains a cover letter, CV, and research statement to the Center Director, Distinguished Professor Michel Boufadel, boufadel@gmail.com.

If you have questions about this posting, please contact support@lensa.com

Seniority level
  • Seniority level
    Internship
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Research, Analyst, and Information Technology
  • Industries
    IT Services and IT Consulting

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