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Internship Electrical Engineering Postdoctoral Research Jobs in New Rochelle, NY

Chaincode Labs

internship

New York, NY · On-site

Chaincode has leading open-source developers and researchers, and offers a supportive ... Applicants should be currently pursuing a PhD degree or engaged in postdoctoral research. The ...

Chaincode Labs

internship

New York, NY · On-site

Chaincode has leading open-source developers and researchers, and offers a supportive ... Applicants should be currently pursuing a PhD degree or engaged in postdoctoral research. The ...

New York University

POSTDOCTORAL ASSOCIATE

New York, NY · On-site

$62K - $67K/yr

Yuzhang Lin's research group in the Department of Electrical and Computer Engineering conducts cutting-edge research in modeling, situation awareness, and cyber-physical resilience of smart power ...

New York University

POSTDOCTORAL RESEARCHER

New York, NY · On-site

$62K - $75K/yr

Description POSTDOCTORAL RESEARCHER Machines in Motion Laboratory New York University The Machines ... of Engineering. Candidates will be responsible for conducting scholarly research, writing papers ...

New York University

POSTDOCTORAL ASSOCIATE

New York, NY · On-site

$70K/yr

... Engineering, Electrical Engineering, or related disciplines) or a related field. We welcome ... their research relates to this position, * copies of up to three relevant scientific papers ...

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Internship Electrical Engineering Postdoctoral Research information

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How much do internship electrical engineering postdoctoral research jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for internship electrical engineering postdoctoral research in New Rochelle, NY is $22.30, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $24.76 per hour, depending on experience, location, and employer.

What is the difference between Internship Electrical Engineering Postdoctoral Research vs Electrical Engineer?

AspectInternship Electrical Engineering Postdoctoral ResearchElectrical Engineer
QualificationsGraduate degree (Ph.D. or equivalent)Bachelor's or Master's degree in Electrical Engineering
Work EnvironmentResearch labs, academic institutions, industry R&DDesign, develop, and test electrical systems in various industries
DurationTypically 6 months to 2 yearsFull-time, ongoing employment
FocusResearch, innovation, academic publishingPractical application, product development, system implementation

In summary, an Internship Electrical Engineering Postdoctoral Research is a temporary research-focused position for recent Ph.D. graduates, emphasizing academic and industry research. An Electrical Engineer is a full-time professional responsible for designing and implementing electrical systems in various industries, requiring a bachelor's or master's degree. Both roles are essential in the electrical engineering field but differ mainly in experience level, focus, and employment type.

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Cities near New Rochelle, NY with the most Internship Electrical Engineering Postdoctoral Research job openings:

Internship Electrical Engineering Postdoctoral Research jobs near you

Postdoctoral Research Associate

Brooklyn, NY • On-site

The Research Foundation of the City University of New York
Colleges, Universities, and Professional Schools • 10K+ employees

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Company rating: 7.8 out of 10

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Learn more about The Research Foundation of the City University of New Yorkexternal

$65K - $72K/yr

Full-time

Re-posted 27 days ago

Job description

Thank you for considering a career with the Research Foundation of The City University of New York (RFCUNY).
The team at RFCUNY is made up of dedicated, talented professionals committed to providing the services that allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries.
We are pleased that you are interested in exploring opportunities to join RFCUNY.
Primary Location:
NYC COLLEGE OF TECHNOLOGY
Bargaining Unit:
No
The Center for Remote Sensing and Earth System Sciences (ReSESS)- City Tech, in collaboration with the Research Foundation of the City University of New York (RFCUNY), seeks a highly motivated Postdoctoral Research Associate to join an interdisciplinary research team focused on aquatic remote sensing and machine learning. The successful candidate will develop and apply advanced computational and remote-sensing approaches to study water-quality parameters and physical properties of inland aquatic systems using both satellite and drone-based imagery.
This position supports a collaborative research effort involving City Tech and external partner institutions. The project integrates multi-sensor data from satellites (e.g., Landsat, Sentinel-2) and unmanned aerial vehicles (UAVs) to improve understanding of how surface-water characteristics vary in response to climatic, geomorphological, and ecological factors. Research activities include the development and validation of methods for extracting and analyzing surface temperature, optical water-quality indicators, and other physical parameters, as well as the application of machine-learning tools for spatiotemporal analysis.
The Postdoctoral Research Associate will also contribute to data integration, quality assurance procedures (QAPP/DUAR standards), and scholarly dissemination through peer-reviewed publications, technical reports, and conference presentations.
  • Conduct research applying remote sensing, drone image analysis, and machine learning to assess water quality parameters and physical properties of lakes and reservoirs.
  • Develop, refine, and test computational workflows for processing and integrating multi-sensor datasets from satellite and UAV platforms.
  • Implement and document quality-assurance procedures and validation protocols for environmental datasets.
  • Prepare and submit manuscripts, progress reports, and conference presentations.
  • Collaborate with faculty, students, and partner institutions on data synthesis and dissemination.
  • Mentor undergraduate or graduate student researchers and contribute to proposal development for future research initiatives.

Additional Information
  • Start Date: March, 1, 2026
  • Appointment Duration: One year, renewable contingent upon performance and funding availability.
  • Worksite: New York City College of Technology, Brooklyn, NY
  • Expected Travel: Occasional travel (12 times per year) to research meetings or scientific conferences.

Other Duties
  • Engage with the CUNY research community to support interdisciplinary collaboration.
  • Assist with data curation, management, and documentation for consortium use.
  • Perform other related duties as assigned.

Minimum Qualifications:
  • Ph.D. in Environmental Science, Remote Sensing, or a closely related field (awarded by start date).
  • Demonstrated experience with satellite or drone remote sensing for environmental or aquatic systems.
  • Proficiency in scientific programming (Python, R, or equivalent).
  • Knowledge of machine-learning methods applied to environmental or geospatial data.
  • Excellent writing, analytical, and communication skills, with a record of scholarly publications.

Preferred Qualifications:
  • Experience with Python-based cloud computing or high-performance computing environments.
  • Background in hydrology, limnology, or biogeochemistry.
  • Experience mentoring students and working within interdisciplinary research teams.
  • Ability to travel and present research at professional conferences.

Pay Range:
$65,000 - $72,000
RFCUNY Benefits
RFCUNY Employee Benefits and Accruals
Equal Employment Opportunity Statement
The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.

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