Signal Analysis Intern Jobs (NOW HIRING)

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All legitimate communication from our recruitment team will come from an official calstart.org email address via email, we will not text you about a role you have not applied to or shown interest in. We will not perform any interviews via text or Zoom chat.
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About Us:
CALSTART is a mission-driven industry organization focused on transportation decarbonization and clean air for all.
For over 30 years, it's been CALSTART's mission to develop, assess, and implement large-scale, zero-emission transportation solutions to mitigate climate change and support economic growth. CALSTART works with businesses, organizations, governments, and communities to create real-life impact toward clean air and equitable access to clean transportation for all. CALSTART provides scientific, technical and policy support for regulatory development and clean technology and infrastructure acceleration.
Intern Project- What You'll Do:
• Support the development of a knowledge and tools repository focused on freight corridor electrification deployments, including researching and organizing relevant data and resources, and refining and compiling existing tools.
• Support the development of a Total Cost of Ownership (TCO) model that assesses the impact of different policy measures on vehicle economics (e.g., road charges, feebates, etc.) for medium- and heavy-duty vehicles, incorporating key vehicle, energy, infrastructure, operational, and financing parameters.
• Translate analytical results into clear visualizations, summaries, and user-friendly outputs for policymakers and other stakeholders.
• Collaborate with members of the Drive to Zero team and other CALSTART teams to prepare existing tools and resources for global adaptation and replication.
• Support other research and analytical activities related to zero-emission medium- and heavy-duty vehicles, infrastructure, and enabling policy as needed.
Intern Project Key Deliverables:
Toolkit for freight corridor electrification deployments
Qualifications:
• Current enrollment in, or recent completion of, a Master's degree in engineering, energy, transportation, environmental science, economics, data science, public policy, or a related field.
• Experience developing quantitative models, particularly TCO, techno-economic, financial, or policy-impact models.
• Familiarity with web-based tools, databases, dashboards, or digital knowledge platforms.
• Knowledge of zero emission medium- and heavy-duty vehicles, transportation electrification, charging infrastructure, or energy systems.
• Familiarity with clean transportation policies and the role of incentives, taxation, regulation, and other policy mechanisms in influencing vehicle economics.
• Experience translating analytical work into intuitive and user-friendly tools or visualizations.
• Interest in working in an international environment and supporting governments and other stakeholders in the transition to zero-emission transportation.
• Weekly Minimum Hours of Availability: 15-20
$19 - $21 an hour
We understand that not everyone will match the above qualifications 100%. If your background isn't perfectly aligned but you feel you would be a great addition to the team, we'd love to hear from you.
We're a tight-knit team of world-class innovators, business minds, and change agents who believe passionately in our mission and put our team ahead of self. We are committed to the continued development and growth of our employees and invest in your success!
We care about your personal well being as much as your professional success and offer generous benefits to full time employees including: 100% company paid comprehensive health benefits for Medical, Dental, Vision, Short Term Disability, Long Term Disability and Life Insurance, Retirement plan with generous company contributions, FSA for Health and Dependent Care, 3 weeks of vacation time in the first year of employment, 11 paid company holidays, paid sick time, paid family leave, and more!
Our inclusive environment focuses on making decisions based on merit without regard to race, color, hair texture, gender, religion, age, nationality, social or ethnic origin, sexual orientation, gender identity, gender expression, LGBTQIA+ status, marital status, pregnancy, disability, genetics, veteran status, or any other characteristic protected by law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.