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Internship Discrete Element Method Jobs in New York

McCarton Foundation

Special Education Teacher

Bronx, NY · On-site

$90K - $110K/yr

Teaching methods used in this room include applied verbal behavior, discrete trial instruction, and ... Supervise/train teaching assistants, student teachers, and interns * Conduct daily/weekly ...

City of New York

DESIGN ENGINEER INTERN

Queens, NY

$17.75 - $23/hr

... methods, and utilizing modern design techniques (like finite element modeling, [FEM]), the ... BEDC seeks to hire two Civil Engineering Interns to support the Structural section, located in our ...

City of New York

DESIGN ENGINEER INTERN

Queens, NY · On-site

$70K - $80K/yr

... methods, and utilizing modern design techniques (like finite element modeling, [FEM]), the ... BEDC seeks to hire two Civil Engineering Interns to support the Structural section, located in our ...

City of New York

DESIGN ENGINEER INTERN

Queens, NY

$17.75 - $23/hr

... methods, and utilizing modern design techniques (like finite element modeling, [FEM]), the ... BEDC seeks to hire two Civil Engineering Interns to support the Structural section, located in our ...

All JobsDiscrete Element Method JobsInternship Discrete Element Method JobsInternship Discrete Element Method Jobs in New York

Internship Discrete Element Method information

What is an Internship in Discrete Element Method?

An Internship in Discrete Element Method (DEM) involves working with computational models that simulate the behavior of assemblies of discrete particles, such as grains, powders, or rocks. Interns typically assist in developing, testing, and analyzing DEM simulations for engineering or scientific applications, often using specialized software. This internship provides hands-on experience in numerical modeling, data analysis, and sometimes programming, making it valuable for students interested in computational mechanics, material science, or related fields.

What are the key skills and qualifications needed to thrive as an Internship Discrete Element Method, and why are they important?

To thrive in a Discrete Element Method (DEM) internship, you need a solid background in engineering, physics, or applied mathematics, often supported by ongoing undergraduate or graduate studies in a relevant field. Familiarity with simulation software such as EDEM, LIGGGHTS, or Rocky DEM, as well as programming skills in Python, C++, or MATLAB, are typically required. Strong analytical thinking, problem-solving abilities, and clear communication help interns interpret simulation results and collaborate effectively with teams. These skills are crucial for accurately modeling complex systems, contributing to research, and supporting project objectives in engineering or scientific environments.

What types of projects or tasks can an intern expect to work on during a Discrete Element Method internship?

As an intern focusing on the Discrete Element Method (DEM), you can expect to work on projects involving simulation and analysis of particulate materials, such as powders, grains, or soils. Typical tasks may include setting up DEM models, conducting simulations, validating results with experimental data, and assisting in the development or optimization of DEM algorithms. You will likely collaborate closely with research scientists and engineers, gaining hands-on experience with specialized software and contributing to ongoing research or industrial projects. This role offers an excellent opportunity to build computational modeling skills and deepen your understanding of material behavior in real-world engineering applications.

What is the difference between Internship Discrete Element Method vs Discrete Element Method Engineer?

AspectInternship Discrete Element MethodDiscrete Element Method Engineer
CredentialsTypically pursuing or recently completed relevant degreeBachelor's or master's in engineering, physics, or related field
Work EnvironmentAcademic labs, research projects, internship programsIndustrial or research company settings, project teams
ResponsibilitiesAssisting in simulations, learning software, supporting researchDesigning simulations, analyzing data, developing models

The Internship Discrete Element Method role is an entry-level position focused on learning and supporting existing projects, while the Discrete Element Method Engineer is a full-time professional responsible for developing and implementing complex simulations in industry or research settings. Internships serve as a stepping stone toward a career as a Discrete Element Method Engineer, providing practical experience and foundational knowledge.

What cities in New York are hiring for Internship Discrete Element Method jobs? Cities in New York with the most Internship Discrete Element Method job openings:
Internship Discrete Element Method jobs near you

Modelling & Simulation Scientist, Computational Physics

Mondelez International

East Hanover, NJ

Full-time

Medical, Life, Retirement, PTO

Re-posted 27 days ago

Mondelez International rating

6.9

Company rating: 6.9 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

238th of 434 rated food and drinks producers

Job description

Job Description

Are You Ready to Make It Happen at Mondelez International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

Working as part of a cross-functional teamcovering broadmodellingdisciplines, you are an internallyrecognizedexpert in computational physics,a technical area of critical importance to the R&D function. Youidentify,defineand solve complex modelling and simulation problems, tackling R&D's highest priority ingredient, product, process, and packaging challenges. Applying your in-depth knowledge of this technical specialty, you will drive rapid, high-quality innovation capabilities across Mondelez's portfolio, spanning chocolate,biscuit, gum, and candy categories.

How you will contribute

You will bring computational physics modelling & simulation capabilities to Mondelez R&D's highest priority areas, developing solutions to move R&D work away from large, factory-scale trials towards small-scale or in silico predictions. Specifically, you will:

  • Design and deliver rapid simulation capabilities to drive solutions to business challenges.

  • Plan, lead, and manage modelling and simulation projects, scoping and proposing opportunities for sustained business impact.

  • Work closely with engineers and scientists to define complex technical challenges and agree on problem scope.

  • Communicate complex problems simply to non-technical audiences with relevant businesscontext.

  • Define the datarequiredto build models; collaborate with internal teams or externalorganizationsto collect this information, which may include designing experimental tests.

  • Use software tools to design, build, test, and implement simulations - or select and manage delivery through an external partner.

  • Ensure simulations arevalidatedagainst experimental data, including any required experiments or factory trials.

  • Deploy models via simple UIs using the Mondelez-approved technology stack, in collaboration with IT and/or external partners.

  • Establish strategy and roadmap for integrating computational physics into R&D business processes.

  • Quantify and communicate the value of computational physics to stakeholders, the associated plan, and embed learnings into business processes to accelerate innovation and optimization.

  • Author best-practice documentation and knowledge-basearticles from project learnings.

  • Share knowledge and coach junior colleagues, building internal modelling & simulation capability across R&D.

  • Maintain data management practices - ensuring models, datasets, and simulation outputs are documented and stored in line with company data governance policies.

  • Research and keep pace with developments in relevant modelling, simulation, and virtual prototyping techniques.

  • Provide regular project updates to senior stakeholders, flagging potentialimpedimentsand resource needs.

What you will bring

Physics & Modelling Fundamentals

  • Fundamental understanding of materials' physical properties: how these are measured and modelled (e.g.viscosity, thermal conductivity, rheology).

  • Solid understanding of how physical transformations can bemodelled(e.g.conduction of heat, fluid mixing, phase change).

  • Ability to decompose complex engineering problems into tractable steps and manage technical ambiguity.

  • Ability to create andvalidatemodels to test and predict real-world scenarios.

Programming & Software

  • Proficient in Python for scientific computing, data analysis, and model deployment (e.g.NumPy, SciPy, pandas, matplotlib).

  • Familiarity withadditionallanguages such as MATLAB, C++, or Julia isadvantageous.

  • Experience with machine learning and surrogate modelling frameworks (e.g.scikit-learn, TensorFlow, orPyTorch).

  • Version controlproficiencyusing Git / GitHub / GitLab for collaborative code management.

Simulation & Engineering Tools

Experience in one or more of the following:

  • Game-engine physics: Unreal Engine, PhysX, Unity

  • Computational fluid dynamics: ANSYS Fluent, COMSOL Multiphysics

  • Finite element analysis (ANSYS, Abaqus)

  • Process modelling:gPROMS, Witness, Aspen

  • Discrete element method: Rocky DEM, EDEM

  • Extended realities (AR/VR) forvisualization

  • Computer-aided design: Fusion 360, SolidWorks

Technical Rigor

  • Strong analytical problem-solving mindset;operateseffectively under ambiguity.

  • Works with independence and self-direction; takes ownership of technical decisions and outcomes.

  • Solidcommunication skills - able to present complex technical work in engaging presentations and clear written reports for diverse audiences.

  • Active listener who builds credibility through collaborative and inclusive ways of working.

  • Demonstrates a growthmindset:proactively seeks new knowledge and shares learnings with the team.

  • Comfortableinfluencingacross all levels of the organization, including senior leadership.

More about this role

What you need to know about this position: This is a technicalmodelerrole where you will work collaboratively to scope opportunities, define problems,identifysolutions, and build and deploy modeling and simulation techniques to support rapid product development decisions.

Education / Certifications: Master's degree in mathematical/computational/Theoretical Physics, or Engineeringrequired

Job specific requirements:

  • Ph.Din Mathematical/Computational/Theoretical Physics, or Engineering preferred

  • 3-5 years combined relevant experience (food and beverage experience preferred

Travel requirements: Up to 10%

Work schedule: Hybrid - 3 Days a week from office

Salary and Benefits:The base salary range for this position is $97,300 to $133,815; the exact salary depends on several factors such as experience, skills, education and location. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results. In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.No Relocation support availableBusiness Unit Summary

The United States is the largest market in the Mondelez International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.

Mondelez Global LLC is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.

For more information about your Federal rights, please seeeeopost.pdf; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal

Job TypeRegularScientific Modelling & SimulationScience & Engineering

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About Mondelez International

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Mondelez International, headquartered in Chicago, IL, US, is a leading player in the global snack industry. Known for creating moments of joy in 160 countries, the company specializes in the production and distribution of biscuits, chocolates, gum, candy, cheese and grocery products. Mondelez International was formed in 2012 following the split of Kraft Foods Inc., with the aim to build the best snacking company in the world. The company’s mission centers on leading the future of snacking by offering the right snack, for the right moment, made the right way. Significant accomplishments include owning some of the world's favorite brands including Oreos, Cadbury, Trident, and Toblerone, and being recognized for reducing environmental footprints and championing sustainable ingredient sourcing.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1903

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