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Internship Modeling Simulation Engineer Jobs in Secaucus, NJ

Create and maintain representative datasets from simulations, human annotation, production feedback ... engineers. * Ability to connect modeling choices to product constraints including latency, cost ...

Create and maintain representative datasets from simulations, human annotation, production feedback ... engineers. * Ability to connect modeling choices to product constraints including latency, cost ...

Create and maintain representative datasets from simulations, human annotation, production feedback ... engineers. * Ability to connect modeling choices to product constraints including latency, cost ...

Prepares or supports traffic operations analyses, traffic simulation/microsimulation models, technical reports, calculations, exhibits, and other engineering deliverables. * For Engineer I, completes ...

... simulation, ML modeling, hardware development, and product design * Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and contractors Minimum ...

We are building an AI-driven simulation software stack for engineering and manufacturing across ... Building machine learning models and pipelines in Python, using common libraries and frameworks (e ...

Showing results 41-60

Internship Modeling Simulation Engineer information

See Secaucus, NJ salary details

$11

$19

$30

How much do internship modeling simulation engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship modeling simulation engineer in Secaucus, NJ is $19.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.25 per hour, depending on experience, location, and employer.

What does an internship modeling simulation engineer do?

An Internship Modeling Simulation Engineer assists in developing and analyzing computer models and simulations to predict how systems or products will perform in real-world scenarios. They work under the guidance of senior engineers, helping to design experiments, collect data, and validate simulation results. Typical tasks include using specialized software, troubleshooting issues, and presenting findings to the engineering team. This role provides hands-on experience with industry tools and techniques, making it ideal for students or recent graduates interested in engineering and simulation technologies.

What are the key skills and qualifications needed to thrive as an internship modeling simulation engineer?

To thrive as an Internship Modeling Simulation Engineer, you generally need a strong background in mathematics, physics, and engineering principles, along with progress toward a relevant STEM degree. Familiarity with simulation software such as MATLAB, Simulink, or ANSYS, and basic programming skills in languages like Python or C++, are typically required. Attention to detail, problem-solving abilities, and effective teamwork and communication skills make candidates stand out in this role. These competencies are crucial for accurately developing, analyzing, and interpreting simulation models, which directly impact project success and innovation.

What types of projects do internship modeling simulation engineers typically work on, and how are tasks assigned within the team?

As an Internship Modeling Simulation Engineer, you will often be involved in projects that require developing, testing, and analyzing computational models for systems such as mechanical components, electronic circuits, or fluid dynamics. Tasks are usually assigned based on your academic background and the team's current priorities, allowing you to collaborate closely with senior engineers and other interns. You'll likely assist with running simulations, validating models against real-world data, and presenting findings to the team, providing a hands-on experience in both technical and collaborative work environments.

What is the difference between Internship Modeling Simulation Engineer vs Modeling Simulation Engineer?

AspectInternship Modeling Simulation EngineerModeling Simulation Engineer
CredentialsEnrolled in or recent graduate of relevant degree programsBachelor's or higher in engineering, physics, or related fields
Work EnvironmentInternship programs, entry-level projects, training-focusedFull-time professional roles, project-driven
Employer & Industry UsageInternship positions in aerospace, automotive, defense, etc.Established roles in similar industries
Search & Comparison IntentLearning about entry-level opportunities and trainingUnderstanding professional career paths and responsibilities

The main difference between an Internship Modeling Simulation Engineer and a Modeling Simulation Engineer is experience level and employment status. Internships are typically temporary, training-focused positions for students or recent graduates, while Modeling Simulation Engineers are full-time professionals responsible for developing and analyzing models in their industry. Interns gain foundational skills, whereas full engineers handle complex projects independently.

What job categories do people searching Internship Modeling Simulation Engineer jobs in Secaucus, NJ look for?

The top searched job categories for Internship Modeling Simulation Engineer jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Internship Modeling Simulation Engineer jobs?

Cities near Secaucus, NJ with the most Internship Modeling Simulation Engineer job openings:

Research Scientist - Channel Simulation and Data Analytics

New York University

New York, NY • On-site

Full-time

Medical, Dental, PTO

Re-posted 20 days ago


New York University rating

8.5

Company rating: 8.5 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

79th of 619 rated colleges and universities


Job description

Description
Research Scientist
NYU Wireless LAB
New York University Tandon School of Engineering
The Electrical and Computer Engineering Department at NYU Tandon School of Engineering is seeking to hire two (2) Postdoctoral Associates to join an exciting project to commercialize next generation wireless data and analytics.
New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, has a distinct history of having been known previously as Brooklyn Poly and the NYU Polytechnic School of Engineering. It is
deeply committed to excellence in teaching and learning. Tandon fosters innovation and entrepreneurship among students and faculty who make a difference in the world.
Research Scientist- Channel Simulation and Data Analytics
Position Overview:
NYU, with its world-class industrial affiliates program and extensive research expertise in wireless communications, is partnering with one of the world's largest professional engineering organizations to create unique research and development offerings for the wireless communications industry. In fulfillment of this mission, NYU is seeking a talented, motivated and energetic Channel Simulation and Data Analytics Researcher to lead efforts in creating state of the art RF channel simulators, software, and data analytics tools for statistical and site-specific radio frequency (RF) propagation prediction products in collaboration with our partner.
Program Description:
The collaboration will serve the wireless communications industry with much needed propagation data and analytics from new environments and frequency bands never explored. NYU is a vibrant, dynamic and fast paced creative leader in this field. This collaboration will operate much like a start-up within NYU for an initial period but rapidly become self-sustaining with anticipated growth and will provide vast research publication and teaching opportunities while building a global user base. The Channel Simulation and Data Analytics Researcher has an opportunity to play a key role in this success and play a vital role in NYU's wireless communications research community, as well as provide fundamental knowledge on the world stage.
Position:
A Research Scientist who wishes to continue research in wireless communications with advanced AI/ML approaches. Initial three-year appointment with potential extension based on program success.
Duties and Responsibilities:
The Channel Simulation and Data Analytics Research Scientist will plan, manage, oversee and carry out extensive data processing and coding to implement existing data sets and channel modeling simulators in Python, and to build AI-based software tools to create new propagation prediction software, working with Professors Theodore S. Rappaport and Daniel Abraham in the NYU WIRELESS center, and NYU's Technology and Opportunity Ventures office. Implement statistical and site specific and channel models based on past and future empirical databases. Implement AI and ML techniques to enhance and improve the creation of statistical and site-specific propagation simulators. Coordinate and lead data science activities related to channel measurements and channel modeling, while leading a team of graduate and undergraduate students.
Master and improve the code base for all measurement systems, data processing approaches, and resulting models and simulators. Implement all logistics and software development tools and systems for best practices for the on-going coding for measurement campaigns, and for raw database sets and statistical and site-specific channel models based on empirical data. Provide data analytics that explore new methods for characterizing wireless channels:
  • Statistical and site-specific models based on empirical data
  • Use AI/ML techniques to enhance propagation simulators

Lead graduate students in all the above activities, publish results in peer reviewed literature, present data and papers in IEEE and industry/3GPP standard bodies, and provide data in specified data formats to our partner.
Salary and Benefits:
In compliance with NYC's Pay Transparency Act, the annual base salary for this position will range from $100K to $120 depending on the candidate's experience and qualification.
NYU employee benefits: Medical/Dental Insurance, PTO
Qualifications
Minimum Requirements: Ph.D. in electrical engineering, more specifically, RF engineering.
Desired Requirements: Previous experience in RF Channel modeling and coding for wireless propagation analytics, channel analysis and simulators. Strong experience building and implementing AI/ML models, creating algorithms, running simulations. Experience with Python and data science libraries. Experience in AI/ML applications for RF channel modeling a plus.
  • In-depth knowledge of state-of-the-art machine-learning algorithms, tools, and technologies for large-scale data. Strong research background or publication record in solving complex computational problems using data analytics methods.
  • Hand-on experience using complex machine-learning models to resolve large-scale data
  • analytics challenges, deploy, fine-tune and execute machine learning models in production.
  • Strong coding skills in Python, Spark, SQL, TensorFlow, Pytorch, or similar machine-learning and data engineering frameworks.
  • Preferred: experience with wireless data.
  • Excellent communication skills.
  • Demonstrated program coordination experience, ideally in an academic setting.
  • Candidates must present proof of eligibility to work in the United States.

Application Instructions
Applicants should submit, as one PDF, the following information:
• an up-to-date CV that includes a complete list of publications,
• a research statement that describes their interests and goals and how their research
relates to this position,
• brief cover letter explaining your interest and fit for the position;
• names and contact information for three references (submitted by recommenders, not
by the candidate);
• copies of up to three relevant scientific papers.
All application materials must be submitted electronically via Interfolio and sent to: [ece-announcements@nyu.edu] and directly to D.Abraham@nyu.edu with the subject line identifying NYU Wireless Initiative and the position.
Review of applications will begin as soon as possible and will continue until the position is filled. The expected start date is July 1, 2025, or sooner.
Equal Employment Opportunity Statement
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
Sustainability Statement
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

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Year founded

1831