설명
The Role:
As a valued Intern in the Mechanics, Materials, and Process Research Lab at General Motors Research and Development, you will advance computational materials science at continuum length scales to accelerate the discovery, design, and deployment of materials for next-generation vehicle and manufacturing applications. You will propose new research directions, establish technical research plans, and lead collaborative studies that connect material composition, microstructure, processing, performance, and engineering requirements.
You will develop and apply continuum-scale models, simulation workflows, and data-driven methods to generate new insights into materials behavior across relevant spatial and temporal scales. Your work will guide experimental research, enable efficient materials down-selection, and help translate computational discoveries into practical materials and manufacturing solutions. You will document and communicate results through high-quality technical reports, external publications, presentations, software or workflow documentation, and records of invention.
The Team:
This position supports the development of advanced materials and manufacturing technologies for future GM products and processes. The intern will work at the intersection of continuum-scale simulation, materials discovery, experimental validation, and application-focused engineering.
What You’ll Do:
- Plan and execute collaborative research in computational materials science, with emphasis on continuum-scale materials behavior and materials discovery.
- Develop physics-based models for composition–process–structure–property relationships, including constitutive behavior, phase evolution, transport, damage, fracture, fatigue, thermal response, and multiphysics phenomena as appropriate.
- Build and apply continuum and mesoscale simulation methods such as finite-element, phase-field, crystal-plasticity, computational fluid dynamics, reaction–diffusion, cellular automata, or related approaches.
- Integrate thermodynamics, kinetics, mechanics, processing science, and materials data into predictive computational workflows.
- Use simulation, high-throughput computation, optimization, and data-driven methods to screen candidate materials, compositions, processing conditions, and architectures.
- Partner closely with experimental researchers to define informative experiments, interpret results, quantify uncertainty, and accelerate materials down-selection.
- Establish model verification, validation, calibration, uncertainty quantification, and sensitivity-analysis practices appropriate for research and engineering use.
- Connect computational materials insights to manufacturing processes and vehicle-relevant performance requirements.
- Drive internal and external collaborations with GM engineering teams, universities, national laboratories, software developers, and research partners.
- Maintain awareness of the state of the art in continuum mechanics, computational materials science, materials informatics, scientific machine learning, and related disciplines.
- Prepare timely, high-quality technical reports, presentations, publications, software documentation, and invention disclosures.
- Generate intellectual property to protect new inventions, computational methods, and research results.
- Assist and mentor other employees in accomplishing project and research goals.
Required Qualifications:
- Pursuit of an Advanced degree (M.S. or Ph.D.) in one of the following areas: Materials Science and Engineering, Mechanical Engineering, Computational Science, Applied Mathematics, Physics, Chemistry, or a closely related field.
- Must be a current student
- Strong foundation in materials thermodynamics, kinetics, mechanics, transport, numerical methods, and structure–property relationships.
- Experience developing or applying continuum-scale models to materials, manufacturing processes, or engineering systems.
- Experience with one or more of the following: finite-element analysis, phase-field modeling, crystal plasticity, constitutive modeling, damage and fracture, multiphysics simulation, reaction–diffusion, or process simulation.
- Experience connecting material chemistry, microstructure, processing history, and performance through computational models.
- Proficiency in scientific programming and data analysis using tools such as Python, C/C++, Fortran, MATLAB, Julia, or similar languages.
- Experience with numerical algorithms, high-performance computing, version-controlled software, and reproducible computational workflows.
- Ability to formulate research questions, translate physical assumptions into models, and communicate model limitations clearly.
- Experience working in multidisciplinary research teams.
- Strong written and verbal communication skills to work effectively with GM internal and external collaborators.
- Able to work fulltime, 40 hours per week during the summer months
Preferred Qualifications:
- Ph.D. strongly preferred.
- Experience with one or more of the following:
-
- Integrated Computational Materials Engineering (ICME) and materials process–structure–property modeling.
-
- Materials discovery, high-throughput screening, combinatorial design, optimization, Bayesian methods, or active learning.
-
- Phase-field, crystal-plasticity, mesoscale, finite-element, multiphysics, or reduced-order modeling.
-
- Computational thermodynamics, CALPHAD, kinetics, phase transformation, precipitation, solidification, or microstructure evolution.
-
- Scientific machine learning, surrogate modeling, uncertainty quantification, sensitivity analysis, or inverse problems.
-
- Digital twins, process–structure–performance linkages, or integration of simulation with manufacturing data.
-
- Parallel computing, GPU acceleration, cloud or cluster computing, and scalable simulation workflows.
-
- Scientific software development, open-source contributions, workflow automation, or user-defined solver development.
-
- Experience coupling continuum-scale predictions with experimental validation and characterization data.
- Demonstrated publication record and/or intellectual property generation.
- Experience transitioning computational materials insights into applied engineering or manufacturing solutions.
- Experience communicating technical results to both specialist research audiences and product-development or manufacturing teams.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum [or other frequency dictated by the business].
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program - to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
Start dates for this internship role are May 24th & June 14th of 2027.
다양성 정보
General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다. 자세한 정보는 GM 채용 과정 안내를 참고하십시오.
공평한 취업 기회 선언 (미국)
General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다. 자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다.
숙소 (미국 및 캐나다)
General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.