Engineering Graduate Intern (Summer 2027)

Location: Delaware, OH, United States Department: Interns

Summer Internship Job Description

Position Title: Summer Intern – Modeling & Simulation Engineer

Position Short Description

We are seeking a highly motivated Ph.D. student to support advanced research and technology development activities within Vertiv's IT Systems Business Unit. The internship focuses on modeling, simulation, and analysis of advanced power conversion, energy management, and digital infrastructure technologies. The intern will support development of system-level and component-level models, performance evaluation, control validation, and design studies for next-generation AI data centers. Activities may include dynamic simulation, system optimization, model validation, and data analysis to support research, innovation, and product development initiatives.

Position Summary

We are seeking a highly motivated summer intern to support advanced research and development activities involving modeling and simulation of power electronic systems, energy infrastructure, and emerging technologies.

The intern will work closely with research engineers to develop simulation models, evaluate system performance, analyze operating behavior, and support technology feasibility assessments. Areas of application may include power conversion systems, energy storage, control systems, thermal management, data center infrastructure, IT Racks technologies, and other advanced engineering platforms.

The internship will emphasize model development, simulation-based design, system analysis, and data-driven engineering methods that accelerate innovation and technology maturation.

Responsibilities

Develop and maintain simulation models for advanced electrical, mechanical, thermal, and energy systems.

Perform system-level and component-level modeling using industry-standard simulation tools.

Conduct steady-state, transient, and dynamic performance analyses.

Support validation of models through comparison with analytical calculations, experimental results, or published data.

Evaluate system efficiency, reliability, power quality, thermal behavior, and operational performance.

Assist in development and assessment of control strategies and system optimization approaches.

Perform parametric studies and design trade-off evaluations.

Generate simulation datasets and technical reports summarizing findings.

Support technology feasibility studies and concept evaluations.

Collaborate with multidisciplinary engineering teams on advanced R&D projects.

Document methodologies, assumptions, and results to support technical publications, invention disclosures, and product development activities.

Required Qualifications

Pursuing a PhD in

Electrical Engineering

Mechanical Engineering

Computer Engineering

Systems Engineering

Control Engineering

Related engineering discipline

Familiarity with one or more of the following tools

MATLAB/Simulink

Simscape

PLECS

PSCAD

LTspice

Python-based simulation environments

Programming experience in

Python

C/C++ (preferred)

Strong analytical, problem-solving, and technical communication skills.

Preferred Qualifications

Experience with

Dynamic system modeling

Control systems

Power electronics

Optimization techniques

Data analysis and visualization

Machine learning

Exposure to

Model-in-the-Loop (MIL)

Software-in-the-Loop (SIL)

Hardware-in-the-Loop (HIL)

Interest in advanced research, technology development, and innovation activities.

Prior laboratory, research, or industry project experience is a plus.

Expected Outcomes

Development of high-fidelity and reduced-order simulation models.

Improved understanding of system performance and design trade-offs.

Identification of optimization opportunities and potential technology improvements.

Generation of simulation datasets and technical documentation.

Support for innovation, research, and future product development activities.

Contribution to technical publications, invention disclosures, and advanced engineering studies.

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