Physics - Co-ops and Internships - Listings from Handshake

Employer: Seagate Technology Expires: 02/28/2025 About our group:You will be working in the recording physics and advanced development group at Seagate recording media research center where we help understand media recording physics and design directions for further extending data storage capacity. The team works closely with the media fabrication team and plays a critical role in developing the next generation recording technology About the role - you will:Help develop Molecular Dynamics (MD) Modeling capability with the team to understand deposition process of FePt granular structureImprove our Thin Film Materials growth Modeling and compare with Microstructure analysis from TEMCompare measurement results with modeling results to understand the underlying media Physics and help provide insights for media design improvementsDevelop and improve existing models to evaluate recording Physics and media designs for Heat-assisted Magnetic Recording (HAMR) media.Improve the efficiency of existing recording modeling, integrating different modeling modules to enhance the Modeling capability, ranging from Atomistic, LLB and recording system modelingFor suitable candidate with related experience, you could be involved with designing and improving state-of-art magnetic and optical characterization tools for HAMR About you:Proficient communication with team members.Ability to work independently and as part of a team in a creative environment. Your experience includes:Expert in Molecular Dynamics Modeling.Familiar with Linux system as a user.Familiar with C/C++ (CUDA optional but nice to have)Familiar with PythonKnowledge and experience with thin film Materials ScienceExperience and skillsets to integrate magnetic, electrical and optical characterizations tools are also highly desirable for the potential projectsKnowledge and experience with SolidWorks, Data Acquisition and Instrumentation control softwareCurrently pursuing a Master or PhD in Physics, Applied Physics, Electrical Engineering, Materials Science, Mechanical Engineering, or a related field, and returning to school in the fall. You may also have:Other helpful skills include: previous experience with computational simulations and modeling of magnetic systemsExperience with magnetic characterizations would be a strong plus and we could match the summer intern projects with the relevant skillsetsMolecular Dynamics simulations of composite materials growth would be a strong plus Location:Our Gold LEED-certified Fremont product-design campus drives innovation, bringing together a diverse set of engineering, design, operations, support, and administrative teams.  The site is equipped with a state-of-the-art clean room and lab space. On-site social activities are popular, including our annual BBQ, ice cream social, and holiday events. Wellness programs, gaming rooms, and the on-site fitness center help round out and balance your Seagate work-life experience, along with opportunities to give back to our local community.  The estimated base wage range for this position is $41 - $48/hr. The individual base wage is based on work location and additional factors, including job-related skills, experience, and relevant education or training. Seagate offers comprehensive benefits to its eligible Interns, including, but not limited to, medical, dental, vision, and participation in the employee stock purchase plan. Seagate also offers Interns 12 paid holidays and a minimum of 48 hours of paid sick leave.  The benefits for this position are based on a 24 to 40-hour-per-week schedule for a full calendar year and may differ depending on work location and tenure with the Company.   Location: Fremont, USA, Research CenterTravel: None

Employer: Hewlett Packard Enterprise - Hewlett Packard Enterprise Expires: 07/21/2025 Job DescriptionProject description: While generative AI models, such as Large Language Models (LLMs) and diffusion models, have reached unprecedented results, but they lack interpretability and are inefficient, especially when involved in complex reasoning and scientific quests. In the Emergent Machine Intelligence Team at Hewlett Packard Labs, we are dedicated to pushing the boundaries of what's possible with artificial intelligence. We specialize in creating cutting-edge machine-learning algorithms and applications by augmenting state-of-the-art LLMs with concepts and tools from symbolic AI, physics simulators, statistical physics, and non-equilibrium thermodynamics. We aim to revolutionize AI by creating first-principled generative models for system-2 thinking that can perform reliable and interpretable complex reasoning over multimodal data while delivering efficient hardware performance. Join us to be a part of a team that shapes the future of high-performance AI.   *Hiring for multiple positions* Required skills and experiences: Currently pursuing a PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Electrical Engineering, Mathematics, or other related fields.Proficiency in PythonFamiliarity with AI/ML frameworks (e.g., TensorFlow, PyTorch).Excellent understanding of neural networks, deep learning, and generative models.Excellent written and verbal communication skillsAbility to collaborate effectively across diverse teams Desired skills and experiencesBackground in computational physics, with an understanding of how physical principles can be applied to improve machine learning models and algorithmsFamiliarity with combinatorial optimization techniques and algorithms, and their application in solving complex computational problems.Experience with energy-based modelsExperience with diffusion modelsExperience in applying generative AI models to solve problems in areas such as material science, quantum computing, or complex system simulations.  We are looking for candidates who are working towards a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Physics, Electrical Engineering, Mathematics, or other related fields. The ideal candidate will have research experience in the areas of generative AI, statistical physics, or probabilistic computing. Applicants should be comfortable working in a strongly collaborative and multidisciplinary industrial basic research environment.

Employer: Hewlett Packard Enterprise - Hewlett Packard Enterprise Expires: 07/21/2025 Job DescriptionProject description: While generative AI models, such as Large Language Models (LLMs) and diffusion models, have reached unprecedented results, but they lack interpretability and are inefficient, especially when involved in complex reasoning and scientific quests. In the Emergent Machine Intelligence Team at Hewlett Packard Labs, we are dedicated to pushing the boundaries of what's possible with artificial intelligence. We specialize in creating cutting-edge machine-learning algorithms and applications by augmenting state-of-the-art LLMs with concepts and tools from symbolic AI, physics simulators, statistical physics, and non-equilibrium thermodynamics. We aim to revolutionize AI by creating first-principled generative models for system-2 thinking that can perform reliable and interpretable complex reasoning over multimodal data while delivering efficient hardware performance. Join us to be a part of a team that shapes the future of high-performance AI.   *Hiring for multiple positions* Required skills and experiences: Currently pursuing a PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Electrical Engineering, Mathematics, or other related fields.Proficiency in PythonFamiliarity with AI/ML frameworks (e.g., TensorFlow, PyTorch).Excellent understanding of neural networks, deep learning, and generative models.Excellent written and verbal communication skillsAbility to collaborate effectively across diverse teams Desired skills and experiencesBackground in computational physics, with an understanding of how physical principles can be applied to improve machine learning models and algorithmsFamiliarity with combinatorial optimization techniques and algorithms, and their application in solving complex computational problems.Experience with energy-based modelsExperience with diffusion modelsExperience in applying generative AI models to solve problems in areas such as material science, quantum computing, or complex system simulations.  We are looking for candidates who are working towards a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Physics, Electrical Engineering, Mathematics, or other related fields. The ideal candidate will have research experience in the areas of generative AI, statistical physics, or probabilistic computing. Applicants should be comfortable working in a strongly collaborative and multidisciplinary industrial basic research environment.

Employer: Air Force Institute of Technology - Center for Directed Energy Expires: 07/15/2025  The Air Force Institute of Technology is looking for 2024 candidates to participate in a paid summer internship for 10-12 weeks at Wright Patterson Air Force Base (Dayton, Ohio). This Internship is in the Engineering Physics Department, with the Center for Directed Energy. All applicants must be U.S Citizens and be able to pass a background check. Project Title: Adaptive optics implementation for single photon propagation through turbulence Project Description: Student would work alongside a graduate student to investigate the Propagation of qubit with spatial mode through turbulence and recovering the quantum information using adaptive opticsMajors preferred: Physics, Astronomy, Optical Engineering, Electrical Engineering (optics track) 

Employer: Federal Aviation Administration (FAA) - AHR Corporate Recruitment Expires: 01/25/2025 Duties The PMO provides program and acquisition management for the FAA infrastructure programs that transform, modernize and sustain the National Airspace System (NAS). The focus of the PMO is engineering, acquisition and second-level engineering software maintenance for the FAA 's automation systems. The goal is for the student trainee to become familiar with programs, projects and functions of the organization.As a trainee, the incumbent performs a mixture of routine and somewhat complex engineering tasks under the general direction of a manager, project/program manager, team leader, or other more experienced employee. Assists manager and other employees in day-to-day operations. Responsibilities may include, assisting manager or more experienced engineers with the following:• developing test outlines, approaches and procedures used for documenting test cases and collecting data• developing and modifying code• providing comments for engineering designs and reviews• providing technical support activities for site support• coding, configuring and implementing server/web-based software and tools to automate and provide metrics data• investigating and implementing solutions to system, network and process issues• answering help desk calls• identifying, assessing and communicating software changes• developing and executing system outreach activities• migrating users from one system to another• leverages academic model(s) and creative perspectives to suggest ideas and approaches for manager's consideration• communicating information through technical reports, notes, telecons and briefingsRegularly coordinates with a manager and/or other more experienced employee to plan time, prioritize assignments, and use assigned resources to accomplish tasks.Contacts are primarily internal to one organizational unit, with a manager, project/program manager, team leader, or more experienced employee to share basic information and to receive guidance. In some areas, may have limited contacts with external customers.Established policies/procedures provide detailed guidance for almost all assignments, with little or no discretion. Receives detailed instructions from a manager, project/program manager, team leader, or more experienced employee.Regularly refers problems and work issues to a manager, project/program manager, team leader, or more experienced employee for guidance. 

Employer: Schneider Electric Expires: 07/08/2025 Schneider Electric™ creates connected technologies that reshape industries, transform cities and enrich lives. Our 153,000+ employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment: https://youtu.be/dux6kG13QWMGreat people make Schneider Electric a great company. Based in Andover, MA, Schneider Electric’s Artificial Intelligence (AI) hub team aims to deliver world class AI products to solve customer challenges by enhancing digital offers with AI driven insights and new kinds of AI products addressing Energy, Sustainability and Industrial Automation domains, all leveraging a comprehensive Platform approach.We’re looking for a passionate and product-minded Data Science intern to join us in Summer 2025.The candidate will help in developing data science products based on time series machine learning algorithms using IoT data.  The position will report to the Senior Principal ML/AI Architect in the team but will work closely with respective offer managers and use case squads.ResponsibilitiesDevelop Python-based time series machine learning algorithms for IoT data, including anomaly detection and classification.Create frameworks for prototyping and benchmarking machine learning algorithms and tools on standardized datasetsSelect appropriate datasets and data representation methodsRun machine learning tests and experiments to support the product developmentDevelop and test strategies for training and retraining machine learning systemsResearch and survey industrial reports and technical papers on latest industrial trends, case studies, models and methodologies.QualificationsThe candidate must be currently enrolled in a masters or doctoral graduate program in a related discipline such as Mathematics, Statistics, Physics, Engineering, Data Science or CSDemonstrable experience in full stack data science, including developing and deploying machine learning models in a production environmentExperience working with time series data is required. Prior experience with Python-based libraries for time series, such as SKTime, tsfresh, Ruptures is highly preferred.Familiarity with time series machine learning algorithms/ frameworks like ROCKET, Matrix profile techniques, contrastive learning, and architectures like InceptionTime and other 1D Convolutional Neural Networks will be a plus!Experience exploring and training models with big datasets, using cloud technologies (Kubernetes, AWS, GCP, Azure)Proficient in scientific Python (NumPy, SciPy, scikit-learn, Pandas, XGBoost), SQL, and version control (GitHub)Ability to formulate hypotheses, draw conclusions and deliver resultsExcellent verbal and written communication and interpersonal skillsAbility to present findings to stakeholders and communicate results to all colleaguesLet us learn about you! Apply today.You must submit an online application to be considered for any position with us. This position will be posted until filled.

Employer: Pacific Northwest National Laboratory Expires: 02/06/2025 Protecting U.S. residents and visitors is among our nation’s highest priorities. As adversaries gain access to sophisticated technologies and materials, the threats grow more dynamic and complex—from cyber and nuclear to chemical and biological weapons of mass effect and other forms of terrorism. The PNNL national security mission employs our researchers, tools, and technologies to play a key role in advancing the ability to identify and secure nuclear materials, detect weapons of mass effect, manage nonproliferation treaties, secure our nation's borders, and protect critical infrastructures.  PNNL’s scientific discovery and capabilities—rooted in innovative theory, methods, algorithms, and tools—are enabling stronger, more resilient technologies and systems to safeguard national security. Coupled with decades of radiological and nuclear materials expertise, advanced computing and threat analysis capabilities, and a broad fundamental science base, we are identifying and countering emerging threats that have significant impact at home and around the globe.NOTE:  Several documents are strictly required to submit with the application to be eligible for this position. Please read the entire job posting for detailed instructions.ResponsibilitiesPNNL’s Physical Detection Systems and Deployment Division is focused on discovering, developing and deploying physical detection systems.  We are seeking Masters students for assignments within the National Security Internship Program (NSIP).Do you want to be challenged with hard problems in national security, energy, and science and apply cutting-edge research to make our nation safer and stronger?  Do you want to perform research and development critical to prevent and counter terrorism and proliferation of weapons of mass destruction? Are you interested in physics, material science, electrical engineering, mechanical engineering, systems engineering, project management or instructional design?If you answered yes, please join us as an intern in the Physical Detection Systems and Deployment Division. Positions are available in Richland, WA and Seattle, WA, based on business need. Positions may also be performed remotely or on campus at PNNL based on business need.Participants will be starting in cohort sessions and must be available to start in May or June 2025 [Summer cohort].Your internship will land you in one of the following focus areas: Advanced Engineered Systems: We are a group of passionate makers who have a long history of building and deploying embedded sensor systems for a wide variety of sponsors and applications.  We are 50+ electronics engineers, software engineers, mechanical engineers, physicists, etc.; all sharing the DNA and desire to deploy solutions for our sponsors that help the mission of national security.  We focus on emerging technologies by integrating capability across electromagnetics, systems modeling, communications, analytics development, and systems design to serve as a flywheel for feeding technology advancements across the division and laboratory.  Projects within the group range from mission focused, highly applied projects in support of national security to fundamental science projects. Detection Physics: We represent PNNL’s ultra-low background capability and develop some of the world’s most sensitive radiation detection systems; driving solutions that span fundamental physics to treaty verification by integrating modeling, experimentation, data science, and support staff.   Disruptive Technology: We focus on the development of detection systems and data analysis techniques for a variety of missions ranging from fundamental physics to national security. Projects within the research group range from highly applied projects to fundamental science projects in the areas of nuclear/particle physics, electromagnetics, and novel sensor technology development. Engineered Materials: We work on the design, synthesis, implementation, characterization, and monitoring of functional materials for national security missions leveraging chemistry, computations and models, data science, characterization tools, and non-destructive evaluation methods. Operational Readiness: We steward capabilities associated with the mission assurance and operations and maintenance stage of the systems engineering lifecycle.  Operational sustainment is achieved and transitioned through instructional systems, credibility assessment, logistics innovation, reliability and field engineering, and complex supply chain and interdependency analysis. Systems and Technology Integration: We lead the Lab in bringing the most technology aligned, diverse, talented, and skilled project management and systems engineering staff who will do what it takes to expertly deliver on the national security detection requirements of our sponsors.****HOW TO APPLY****To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration:Step 1: Upload Resume or CV in “Resume” section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to).Step 2: Upload a Cover Letter separately in “Additional Documents” section of the application titled “PDSD - Summer 2025 NSIP Cover Letter”.Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career.If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 5:00 p.m. (PST) on the posting close date.QualificationsMinimum Qualifications:Candidates must be matriculated/enrolled in a Master's program at an accredited college or university.Minimum GPA of 3.3 is required.Preferred Qualifications:Disciplines of interest: additive manufacturing, computational modeling, eLearning design and development, electrical engineering, electromagnetics, embedded systems, instructional design, law enforcement, material science, mechanical engineering, nuclear engineering, nuclear proliferation, nuclear security and risk analysis, project coordination, project management, physics, quantum information systems, radio frequency engineering, software engineering, systems engineering, training program management, and usability testing

Employer: Pacific Northwest National Laboratory Expires: 02/06/2025 OverviewProtecting U.S. residents and visitors is among our nation’s highest priorities. As adversaries gain access to sophisticated technologies and materials, the threats grow more dynamic and complex—from cyber and nuclear to chemical and biological weapons of mass effect and other forms of terrorism. The PNNL national security mission employs our researchers, tools, and technologies to play a key role in advancing the ability to identify and secure nuclear materials, detect weapons of mass effect, manage nonproliferation treaties, secure our nation's borders, and protect critical infrastructures.  PNNL’s scientific discovery and capabilities—rooted in innovative theory, methods, algorithms, and tools—are enabling stronger, more resilient technologies and systems to safeguard national security. Coupled with decades of radiological and nuclear materials expertise, advanced computing and threat analysis capabilities, and a broad fundamental science base, we are identifying and countering emerging threats that have significant impact at home and around the globe.NOTE:  Several documents are strictly required to submit with the application to be eligible for this position. Please read the entire job posting for detailed instructions.ResponsibilitiesPNNL’s Physical Detection Systems and Deployment Division is focused on discovering, developing and deploying physical detection systems. We are seeking Ph.D. students for assignments within the National Security Internship Program (NSIP).Do you want to be challenged with hard problems in national security, energy, and science and apply cutting-edge research to make our nation safer and stronger?  Do you want to perform research and development critical to prevent and counter terrorism and proliferation of weapons of mass destruction? Are you interested in physics, material science, electrical engineering, mechanical engineering, systems engineering, project management or instructional design?If you answered yes, please join us as an intern in the Physical Detection Systems and Deployment Division. Positions are available in Richland, WA and Seattle, WA, based on business need. Positions may also be performed remotely or on campus at PNNL based on business need.Participants will be starting in cohort sessions and must be available to start in May or June 2025 [Summer cohort].Your internship will land you in one of the following focus areas:Advanced Engineered Systems: We are a group of passionate makers who have a long history of building and deploying embedded sensor systems for a wide variety of sponsors and applications.  We are 50+ electronics engineers, software engineers, mechanical engineers, physicists, etc.; all sharing the DNA and desire to deploy solutions for our sponsors that help the mission of national security.  We focus on emerging technologies by integrating capability across electromagnetics, systems modeling, communications, analytics development, and systems design to serve as a flywheel for feeding technology advancements across the division and laboratory.  Projects within the group range from mission focused, highly applied projects in support of national security to fundamental science projects.Detection Physics: We represent PNNL’s ultra-low background capability and develop some of the world’s most sensitive radiation detection systems; driving solutions that span fundamental physics to treaty verification by integrating modeling, experimentation, data science, and support staff.  Disruptive Technology: We focus on the development of detection systems and data analysis techniques for a variety of missions ranging from fundamental physics to national security. Projects within the research group range from highly applied projects to fundamental science projects in the areas of nuclear/particle physics, electromagnetics, and novel sensor technology development.Engineered Materials: We work on the design, synthesis, implementation, characterization, and monitoring of functional materials for national security missions leveraging chemistry, computations and models, data science, characterization tools, and non-destructive evaluation methods.Operational Readiness: We steward capabilities associated with the mission assurance and operations and maintenance stage of the systems engineering lifecycle.  Operational sustainment is achieved and transitioned through instructional systems, credibility assessment, logistics innovation, reliability and field engineering, and complex supply chain and interdependency analysis.Systems and Technology Integration: We lead the Lab in bringing the most technology aligned, diverse, talented, and skilled project management and systems engineering staff who will do what it takes to expertly deliver on the national security detection requirements of our sponsors.****HOW TO APPLY****To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration:Step 1: Upload Resume or CV in “Resume” section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to).Step 2: Upload a Cover Letter separately in “Additional Documents” section of the application titled “PDSD - Summer 2025 NSIP Cover Letter”.Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career.If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 5:00 p.m. (PST) on the posting close date.QualificationsMinimum Qualifications:Candidates must be currently enrolled/matriculated in a PhD program at an accredited college.Minimum GPA of 3.3 is required.Preferred Qualifications:Disciplines of interest: additive manufacturing, computational modeling, eLearning design and development, electrical engineering, electromagnetics, embedded systems, instructional design, law enforcement, material science, mechanical engineering, nuclear engineering, nuclear proliferation, nuclear security and risk analysis, project coordination, project management, physics, quantum information systems, radio frequency engineering, software engineering, systems engineering, training program management, and usability testing.

Employer: Oak Ridge Institute for Science and Education - Energy Efficiency & Renewable Energy Expires: 02/01/2025 STIPEND RANGE: $65,000 - $110,000 (and up - *Stipend rates are determined by DOE officials and are based on the candidate’s academic and professional background.)BENEFITS:·       Competitive stipend·       Health insurance allowance·       Up to $5,000 relocation reimbursement·       Up to $10,000 research materials and travel allowance·       Federal Holidays observed·       Hybrid participation optionsApply Today! https://www.zintellect.com/Opportunity/Details/DOE-EERE-STP-BTO-2024-1200 The Energy Efficiency and Renewable Energy (EERE) Science, Technology, and Policy (STP) Program serves as a next step in the educational and professional development of scientists, engineers, and professionals by providing opportunities to participate in policy-related projects at DOE's Office of Energy Efficiency and Renewable Energy (EERE) in Washington, D.C. Participants will become part of a group of highly-trained scientists, engineers, and policy experts with the education, background, and experience to support DOE's mission and transition to a clean energy economy. BTO supports that mission by conducting research and implementing programs to support efficient decarbonization of more than 125 million homes and buildings throughout the United States.policy experts with the education, background, and experience to support DOE's mission and transition to a clean energy economy.The Building Technologies Office (BTO) is seeking innovative fellows to participate in U.S. Department of Energy (DOE) clean energy initiatives. As a Fellow, you will engage and interact closely with BTO staff and National Laboratory scientists on research, development, and deployment of building energy codes and building performance standards to produce significant energy savings across the built environment. Fellows will experience full immersion in the Building Energy Codes Program (BECP) and Commercial Buildings Integration (CBI) technical projects and activities, interacting with experts in academia, industry, and at the National Labs. Fellows will also engage a diverse mix of state, local, and non-governmental stakeholders. You may also engage with other programs at the Department of Energy and across the Federal government. This Fellowship will last one year, with the opportunity to renew for additional years at the discretion of the sponsoring office.As a Fellow embedded in the Building Technologies Office, you will learn and professionally develop in the following areas:• Stakeholder Engagement: Engage with DOE staff to build and maintain relationships with state and local jurisdictions and strategic partners working on building energy codes, building performance standards, and energy efficiency programs.• Technical Expertise: Engage with DOE staff to provide feedback and/or recommendations on strategic progress or course correction for a variety of technical projects and policy relating to building energy codes and building performance standards.• Creative Vision: Engage in strategic planning for technical policy research and development while reviewing, recommending, and implementing projects that advance the BTO and BECP mission, resulting in measurable and trackable building energy savings.• Communication: Engage with DOE staff to prepare and present written and oral briefings and reports to senior program staff, DOE leadership, external partners, and industry stakeholders.Location: Washington, D.C. or Golden, COApply Today! https://www.zintellect.com/Opportunity/Details/DOE-EERE-STP-BTO-2024-1200 Stipend and BenefitsBTO offers a competitive stipend for participation in this program determined on an individual basis. This Fellowship also offers a range of additional benefits including: medical, dental, and vision insurance, a local transportation stipend, and Federal holidays. Relocation expenses incurred in relocating from current address to Washington, D.C. or Golden, CO will be reimbursed, in the amount of up to $5,000 (if more than 50 miles from the address shown on the application). Fellows will receive a travel and research allowance of $10,000 per appointment year to cover expenses for scientific and professional development activities. Fellows may be offered an extension for additional years with an increase in stipend and cost of living adjustment. Past Fellows have gone on to take a wide range of permanent positions in industry, academia, and government.Applicants will be evaluated on the basis of their professional and academic record, expertise in the field, and potential for making contributions in the area of building energy efficiency. Priority for selection will be given to applicants whose resume and experience reflects a background in building science, building energy codes and/or building performance standards, and a willingness to learn and develop solutions important to BTO and its mission. The review process will include phone and/or in-person interviews with potential candidates.Successful candidates will:• Have a passion for buildings, energy efficiency, and technical policy.• Have interest in participating in a multi-disciplinary, metrics-oriented, collaborative environment.• Have strong written, organizational, analytical, and research skills, and a demonstrated capacity for creative thinking.Requirements:You must be a U.S. Citizen or Lawful Permanent Resident and be pursuing, or have completed requirements for, a Bachelor’s, Master's, or Doctoral Degree.Preferred Skills:• Experience with building energy codes and/or building performance standards.• Knowledge of building energy and decarbonization policy landscape across the United States.• Knowledge of strategies to identify, evaluate, and prioritize cost-effective energy savings measures in new and existing commercial and residential buildings.• Experience engaging with and providing technical support to stakeholders, such as state, tribal, and local governments.• Experience with successful market transformation programs, policy and regulatory interventions, and/or public-private partnerships.• Understanding of the economics of energy efficiency, including payback, rate of return, and net present value.• Experience with key innovations in building efficiency, especially whole building strategies and analytics-based building energy management.• Experience in researching or developing energy efficiency policies or programs for buildings, such as strategies designed to overcome specific technical and structural barriers and/or the evaluating of program effectiveness.• Experience with building energy data, management, or analytics platforms such as energy modeling software/tools, energy code compliance tools, benchmarking and auditing tools, and others.For more information about Fellowships with BTO in the EERE Science, Technology, and Policy Program, please visit https://www.energy.gov/eere/buildings/building-technologies-office.  Questions? Email DOE-RPP@orise.orau.gov. Please list the reference code [DOE-EERE-STP-BTO-2024-1200] for this opportunity in the subject line of your email. 

Employer: International Expires: 03/01/2025 Engineering Intern – Summer 2025 We’re International. We build International trucks and engines and IC Bus® school and commercial buses, as well as develop Fleetrite aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. Join Us as a Engineering Intern! We are seeking an Engineering Intern responsible for the validation and development of Drivability Features to perform to specifications and meet requirements at our world headquarters located in Lisle, IL.  The work involves in-vehicle calibration development to meet system and vehicle level requirements. Specifically, working with internal and external teams to understand requirements, designing tests, analyzing results, and reviewing results prior to release. Test planning, test support and troubleshooting are necessary as part of this job. In addition, continual support of released calibrations is critical to respond to any warranty issues and necessary product evolution. About the Intern Program12 week program with start dates on: May 12 or 19 or June 240 hours per weekMust graduate between December 2025 - May 2027ResponsibilitiesWorks with program teams to understand program level requirementsWorks with internal technical teams to understand system and vehicle level requirementsCoordinate and executes necessary vehicle tests to support development goalsTroubleshoot issues during development, validation, and productionDesigns and/or utilizes tools for data processing and calibration developmentMaintains plotted data and calibration settings for tests in pre-designated locationAnalyzes test data to draw conclusionsMakes necessary calibration changes and supports calibration builds and releasesDocuments conclusions & summaries in report or presentation format and conducts data reviews/summaries with teamDocuments significant issues & resolutions via standard channelProvides any potential design change recommendations through formal report with supporting dataUtilizes established engineering practices and software to document workflow and track calibration updates via change control processBecomes familiar with internal processes such as DVP&R, FMEAMinimum RequirementsPursuing a Bachelor’s or Master’s degreeAdditional RequirementsQualified candidates, excluding current International Motors employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. International Motors does not anticipate providing employment related work sponsorship for this position (e.g., H-1B or F-1 status)Desired SkillsMinimum required cumulative GPA of 3.0 on a 4.0 scaleCurrently pursuing a Bachelor’s or Master’s degree in Mechanical, Electrical, Aerospace, Industrial, Materials or Computer EngineeringStrong analytical and problem-solving skillsExcellent communication and teamwork abilitiesBasic understanding of vehicle body structures and systems is a plusPrevious internship or project experience in automotive engineering is preferredStrong communication and organizational skillsCritical thinking and problem solvingPrevious internships or work experience is a plusAbility to work independentlyBenefits and CompensationThe expected compensation hourly pay ranges for hires into our 2025 campus intern openings is $24 - $38/hour.Hourly pay is based on year in school and is non-negotiable.Company OverviewAt International Motors, LLC* (“International”), we’ve never backed away from forging our own path. Our openness and ability to meet customers where they are, combined with our curious mindset is what defines us as a company. And as individuals. With big changes ahead for the commercial vehicle industry, and people counting on us to keep things moving, we say: bring on the journey. ABOUT INTERNATIONALFrom a one-man company built on the world-changing invention of the McCormick reaper in 1831, to the 15,000-person-strong company we are today, few companies can lay claim to a history like International. Based in Lisle, Illinois, International Motors, LLC* creates solutions that deliver greater uptime and productivity to our customers throughout the full operation of our commercial vehicles. We build International® trucks and engines and IC Bus® school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetrite® aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. As of 2021, we joined Scania, MAN and Volkswagen Truck & Bus in TRATON GROUP, a global champion of the truck and transport services industry. To learn more, visit www.International.com. *International Motors, LLC is d/b/a International Motors USA in Illinois, Missouri, New Jersey, Ohio, Texas, and Utah.EEO StatementInternational is an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email HUB@Navistar.com to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.

Employer: Scripps Research - Educational Outreach Expires: 02/16/2025 Scripps Research's ten-week Summer Undergraduate Research Fellows (SURF) internship program offers students the opportunity to experience cutting-edge research in one of our 150+ laboratories while being mentored by our world-renowned faculty. The program is held on our La Jolla, California campus.Unlike in traditional college classes where the course of study is entirely determined by the instructor, participants in Scripps Research's SURF Program identify their area of interest and are matched with a faculty mentor. Together the student and mentor craft a research project. The student will work on that project under the supervision of a graduate student, postdoc or another member of the lab for a few weeks, until the student is comfortable with the project. Then the student will be expected to work independently.PROGRAM DATESJune 2 to August 8, 2025APPLICATION DEADLINEFebruary 15, 2025PROGRAM OVERVIEWStudents are expected to work full-time in the laboratory and participate in weekly academic and research seminars.Weekly seminars include:"Career Options for PhDs" seminar;"Life as a Graduate Student" seminar given by Scripps Research graduate students;"Lab Techniques" presentation, where students explain why the technique was chosen, the reagents, the methods, the expected results, and often the pitfalls and/or troubleshooting they encountered in learning and mastering the technique;GRE preparation classes; and"Hot Topics in Science" presentation, where students present the background, the methods, figures/graphs, conclusions and most importantly, their interpretation of the research presented in the paper.At the end of the summer, students will give an oral presentation of their research at the Summer Student Symposium. The entire Scripps Research campus is invited to view the research accomplishments of the SURF students. This provides another excellent opportunity for SURF program participants to hone their public speaking and networking skills.ELIGIBILITYAcceptance into Scripps Research's SURF and REU Programs is awarded on a competitive basis to college students who are United States citizens or permanent residents, or international students who are enrolled in a U.S. college, with a minimum grade point average of 3.2. International students studying abroad are not eligible.A special emphasis is placed on identifying and recruiting students who are historically underrepresented in the sciences (i.e., African-American, Hispanic, Native Pacific Islander, or Native American students or first to college students).

Employer: Federal Aviation Administration (FAA) - AHR Corporate Recruitment Expires: 02/01/2025 PLEASE READ ENTIRE JOB ANNOUNCEMENT FOR HOW TO APPLY INFORMATION!!!The Federal Aviation Administration’s (FAA) Samya Rose Stumo National Air Grant Fellowship Program opens December 1 and is accepting applications from graduate students in aerospace-related fields who are interested in learning how aviation legislation and policy are developed.Students selected for the program will spend a year in either a Congressional office that has jurisdiction over the FAA, or in an office in the executive branch of government. For example, a fellow may serve as an expert liaison and researcher for a Congressional committee or on an aviation and aerospace focused team at another government agency.The program is designed to offer people with technical aerospace education a hands-on experience at navigating public policy issues related to their field of expertise. FAA seeks participants in the fields of study that include:Aerospace engineeringAerospace physiologyAeronautical engineeringAirworthiness engineeringElectrical engineeringHuman factorsSoftware engineeringSystems engineeringWe will be offering informational sessions to learn more about the program and answer any questions you may have.Register to attend one or more of our live webinars at https://faavideo.zoomgov.com/webinar/register/WN_yGXb9CMLQ2qVNBRvUdDDsw.   Wednesday, December 4, 4-5 PM ETWednesday, December 11, 2-3 PM ETTuesday, January 7, 11 AM-12 PM ETThursday, January 16, 4-5 PM ET **MUST BE A U.S. CITIZEN

Employer: Exponent Expires: 05/26/2025 About ExponentExponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges.  We are committed to engaging multidisciplinary teams of science, engineering, and regulatory experts to empower our clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.  Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you’ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team!   Key statistics:1,100+ Team members950+ Consultants640+ Ph.D.s90+ Disciplines30+ Offices globallyOur OpportunityWe are currently seeking Research Assistants for our Data Sciences Practice in Menlo Park, CA. In this role, you will work as part of a team to conduct and plan data collection efforts that support clients in consumer electronics and life sciences.You will be responsible forOperating and troubleshooting prototype hardware systemsModerating user studies with a wide variety of participants at various locations including troubleshooting study execution issues in the field and proposing corrective actionsTraveling to support user studies locally and domestically with opportunities for international travelDeveloping project management and execution strategy with consultant team to accomplish project goalsAssisting with layout and setup of study sitesCommunicating progress updates and revisions of study protocol to clients, project managers, and executives within the firmWorking in teams with senior consultants to develop full project proposals and budgets based on statements of work from clientsYou will have the following skills and qualificationsB.S./B.A. or M.S./M.A. in Science, Engineering, or a related field such as Computer Science, Physics, Statistics, Applied Mathematics, Mechanical Engineering, Electrical Engineering, Applied Physics, Chemistry, Cognitive Science or Biomedical Engineering or related fieldExperience with human subjects testing, usability testing, or surveys is preferredExperience with hardware and software development or troubleshooting is preferredAbility to work in teams with a strong desire to contribute Excellent written and verbal communication skills Strong analytical thinking and real-time problem solving skillsStrong organizational skills Willingness to travel approximately 30% of the time to domestic and international study sitesLife @ ExponentTo learn more about life at Exponent and our impact, please visit the following links:https://www.exponent.com/careers/life-exponenthttps://www.exponent.com/company/our-impactWe value and encourage diversity, equity and inclusion across all facets of our firm. Having a team built of people with different backgrounds, skills and perspectives allows us to provide better value to our clients and enjoy an enriched work environment.Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits, as well as compensation and recognition programs, empowers our staff to do work that makes a difference.Work EnvironmentAt Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for​ building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment.CompensationThe pay rate for this position is dependent on experience and capabilities which will be assessed during the interview process.Salary RangeUSD $32.70 - USD $37.50 /Hr.Benefits you will enjoyAccess benefits information on our Life @ Exponent page:https://www.exponent.com/careers/life-exponentExponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com.

Employer: ASML Expires: 05/18/2025 External Job DescriptionIntroductionASML US, including its affiliates and subsidiaries, bring together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market, and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon. An internship at ASML is a great opportunity to learn about working in a corporate setting and to provide hands on experience solving real world problems in a team environment. We are looking for a candidate who can help develop next generation methods for engineering analysis of Multiphysics problems. Duties and ResponsibilitiesSpecific tasks will be tailored to match the education / experience level of the intern and current needs of ASML analysis team, e.g. Reduced Order Modeling (ROM), Machine Learning, uncertainty quantification (UQ), CFD post-processing.Work in a team environment alongside experienced engineers to achieve intern project goals.Document project and present the results to ASML analysis stakeholders.Perform other duties as assigned. Education and experienceMust be pursuing a degree in Engineering, Science or similar discipline. Masters or PhD, preferred.  SkillsKnowledge of computational fluid dynamics.Experience using OpenFOAM/ SnappyHexMesh or StarCCM+ , COMSOL software.Experience in Physics-Informed Neural Network, Machine Learning frameworks .Have strong written and oral communicative skills.Be a demonstrated “team player” with a quality orientation and interpersonal skills.Have strong problem solving skills and the ability to take initiative. Other InformationThis position is located on-site in Enter Location, i.e. Chandler, AZ .  It requires onsite presence to attend in-person work-related events, trainings and meetings and to further ensure teamwork, collaboration and innovation.A flexible workplace arrangement may be available to employees working in roles conducive to remote work (up to two days a week).Routinely required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch. Occasionally required to move around the campus.Occasionally lift and/or move up to 20 pounds.Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.Must be willing to work in a clean room environment, wearing coveralls, hoods, booties, safety glasses and gloves for entire duration of shift.While performing the duties of this job, the employee routinely is required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch. EOE AA M/F/Veteran/DisabilityPotential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role.   All candidates receiving an offer of employment must successfully complete a background check band any other tests that may be required.           The current base annual salary range for this role is currently $18.00  -  $56.00. Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members. Our recruiters can share more information about our bonus program, benefits and equity during the hiring process.  

Employer: GlobalFoundries Expires: 05/18/2025 About GlobalFoundries GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.  Internship Program Overview:  Our Interns & Co-ops are our entry-level talent pipeline for GF across the globe. Our goal is to provide students with a meaningful work experience that will equip them with the skills to embark on a career in the fast-paced and growing semiconductor industry after graduation. As an intern at GF, you’ll experience one-on-one mentorship, work assignments that prioritize your growth and potential, professional development opportunities, and the chance to network with executives.  Summary of Role: To support the silicon photonics modelling team in the development of best-of-breed compact models for a wide range of optical and electro-optical devices  Essential Responsibilities include: Assist in the design and physical layout of SiPh device characterization structures Assist in the development of scripts to perform model parameter extraction from characterization results Assist in the development and coding (VerilogA) of compact device models Development of automation flow and scripts for repetitive tasks  Other Responsibilities: Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs  Required Qualifications: Education – Actively pursuing a PhD in Physics, Electrical/Electronic Engineering, or related field  Language Fluency - English (Written & Verbal)  Ability to work at least 20 hours per week during the internship   Preferred Qualifications:  Prior related internship or co-op experience Project management skills, i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity Strong written and verbal communication skills  Strong planning & organizational skills Strong applied mathematical skills Strong programming skills, e.g., MatLab, Python, R, etc.  #InternshipProgramUS  Expected Salary Range $20.00 - $40.00  The exact Salary will be determined based on qualifications, experience and location. If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.  An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.  GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.  All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law