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Entry-Level Magnetic Materials Researcher
General Motors. Innovate in magnetic materials for next-generation vehicle and manufacturing applications .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in magnetic materials research, including composition analysis, computational modeling, and experimental validation. Proficient in applying physics-based approaches to optimize material performance for advanced applications in vehicles and manufacturing.
Highest-signal resume keywords
Advanced Degree In Materials Science And EngineeringExperience With Magnetic MaterialsComputational Modeling And SimulationProficiency In Python, C/C++, MATLABStrong Foundation In Materials Thermodynamics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Materials ThermodynamicsKineticsCrystallographyMagnetismStructure–Property RelationshipsDFT/Electronic Structure ModelingAtomistic ModelingMicromagnetic ModelingMachine LearningMaterials Informatics
Soft Skills
Strong Written Communication SkillsStrong Verbal Communication SkillsMentoring
Tools & Technologies
Computational Materials ScienceData Analysis ToolsMagnetic-Property MeasurementMaterials Synthesis And Processing
Industry Keywords
Magnetic MaterialsElectric MachinesSensorsActuatorsPower ElectronicsManufacturing ProcessesDesign-For-ManufacturingSustainabilityCritical-Materials Strategy
Tech Stack
Tools & technologiesPythonC++
About the role
Key responsibilities & impact- Innovate in magnetic materials for next-generation vehicle and manufacturing applications
- Propose new research directions and establish technical research plans
- Lead collaborative studies spanning magnetic materials discovery, computational modeling, processing, characterization, and validation
- Generate insights into composition, crystal structure, microstructure, magnetic behavior, thermal stability, manufacturability, and system performance
- Guide experimental efforts, accelerate materials down-selection, and translate research results into practical solutions for motors, sensors, actuators, power systems, and other GM applications
- Plan and execute collaborative research in magnetic materials
- Apply physics-based modeling, simulation, and data-driven approaches to magnetic-materials discovery, design, and performance prediction
- Investigate structure–property relationships involving magnetization, coercivity, remanence, permeability, loss, temperature dependence, phase stability, and degradation
- Partner with experimental researchers to guide synthesis and processing, interpret characterization data, and accelerate materials down-selection
- Evaluate magnetic materials and material systems for electric machines, sensors, actuators, power electronics, and manufacturing processes
- Connect computational predictions with experimental validation using magnetic, structural, thermal, electrical, and mechanical measurements
- Drive collaborations with GM engineering teams, universities, national laboratories, suppliers, and research partners
- Maintain awareness of the state of the art in magnetic materials, computational materials science, materials characterization, and related disciplines
- Prepare technical reports, presentations, publications, and invention disclosures
- Generate intellectual property to protect inventions and research results
- Assist and mentor other employees in accomplishing project and research goals
Requirements
What you’ll need- Advanced degree (M.S. or Ph.D.) in Materials Science and Engineering, Physics, Chemistry, Electrical Engineering, Mechanical Engineering, or a closely related field
- Must be graduating between August 2026 and June 2027
- Able to work full-time, 40 hours per week during the summer months
- Strong foundation in materials thermodynamics, kinetics, crystallography, phase transformations, magnetism, and structure–property relationships
- Experience with magnetic materials such as permanent magnets, soft magnetic alloys, ferrites, magnetic composites, magnetocaloric materials, or related functional materials
- Experience with computational modeling and simulation of materials, including electronic-structure, atomistic, mesoscale, micromagnetic, phase-field, finite-element, or continuum methods
- Proficiency in scientific programming and data analysis using Python, C/C++, MATLAB, or similar languages
- Experience analyzing materials data and connecting composition, processing, microstructure, and magnetic performance
- Experience working in multidisciplinary research teams
- Strong written and verbal communication skills
- Must not require GM immigration sponsorship now or in the future
- Must be a U.S. Person: U.S. citizen, U.S. permanent resident, asylee, or refugee
- Ph.D. strongly preferred
- Preferred experience with DFT/electronic structure, atomistic or micromagnetic modeling, ICME, machine learning, materials informatics, magnetic-property measurement, materials synthesis and processing, or microstructural characterization
- Preferred experience coupling computational predictions with experimental validation
- Preferred demonstrated publication record and/or intellectual property generation
- Preferred experience transitioning computational or experimental insights into applied engineering or manufacturing solutions
- Preferred knowledge of design-for-manufacturing, supply-chain considerations, critical-materials strategy, or sustainability in magnetic-materials systems
Benefits
Comp & perks- Relocation benefits administration support if selected
- Benefits and total rewards resources
- Reasonable accommodations for applicants with disabilities