Intern - Polymer Characterization

Team up with the most innovative company where Imagination becomes reality! E Ink is the originator, pioneer, and commercial leader in ePaper technology. The Fremont Research & Development team is thriving and growing as we help develop products that are changing how people access information every day. We are seeking qualified candidates who are self-driven, looking to advance their career and become a high-impact player on a team. Our diversity of people, backgrounds, experiences, thoughts, and perspectives are fostered to create an inclusive work environment. We offer a competitive/generous benefits package that fits the needs of our employees. It includes health, dental, vision, wellness programs, employee discounts, 401k matches, ongoing development, advancement opportunities and more. This position is also eligible for our bonus program. (see E Ink │ Our Company) We are seeking a highly motivated intern to support materials development through a rigorous blend of hands-on characterization and disciplined data workflow design. This role focuses on polymer-based systems within a wet chemistry environment, with particular emphasis on establishing standardized impedance spectroscopy (EIS) measurement protocols, creating structured experimental datasets, and building the data-processing foundation needed for future machine-learning-guided material optimization. The position is primarily experimental (~70%) with meaningful exposure to data systems and automation (~30%). Prepare, handle, and evaluate samples in a wet chemistry lab environment. Establish, document, and standardize impedance spectroscopy (EIS) test methods and measurement conditions for material characterization. Conduct repeated EIS measurements with high consistency, reproducibility, and attention to experimental controls. Process and analyze experimental data, including impedance and related characterization datasets. Extract key material properties and help build a basic feature-extraction framework that converts raw signals into structured, comparable descriptors. Build structured datasets with consistent naming conventions, traceable metadata, and organized records that support downstream analysis. Develop robust Python workflows (pandas, numpy, matplotlib, etc.) for automated data cleaning, transformation, structuring, and analysis. Build data-quality and validation checks to identify inconsistencies, missing data, outliers, and measurement issues, and flag them clearly for the broader team. Collaborate closely with researchers to improve experimental protocols, strengthen data reliability, and support future machine learning workflows for material optimization. Currently pursuing a Master's/PhD degree in Materials Science and Engineering, Chemical Engineering, Chemistry, Physics, Electrical Engineering, Polymer Science, or a related field. Hands-on laboratory, internship, co-op, or undergraduate/graduate research experience in materials characterization, polymer/material systems, or related experimental work. Foundational experience with impedance spectroscopy (EIS) or related electrochemical/electrical characterization methods.

Preferred:

Hands-on experience with atomic force microscopy (AFM), particularly quantitative nanomechanical mapping (QNM) mode Strong execution mindset with attention to data quality, repeatability, documentation, and the ability to work effectively with real-world, imperfect datasets. Proficiency in Python (pandas, numpy, matplotlib) applied to experimental data processing, automation, and structured data handling. Experience building machine learning workflows, feature engineering pipelines, or data-processing tools for scientific datasets. Familiarity with structure-processing-property relationships and materials optimization concepts. Experience working with larger experimental datasets across multiple testing conditions, instruments, or source formats. The anticipated base pay for this position is $30-40 per hour, DOE, for candidates located in the San Francisco Bay Area. Medical plan that begins on the first day 401k Plan Participation Paid Time Off Sick Time Policy Courses/classes at E Ink University Our culture is built on value commitments to innovation, quality, results, integrity, community, people, and collaboration that fosters a strong employee engagement, teamwork, safety and wellness. E Ink is committed to a diverse and inclusive workforce. E Ink is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender, identity, sexual orientation, veteran's status, disability, age, or on any basis prohibited by federal and state law. Our diverse employees, backgrounds, experiences, and perspectives foster a diverse and inclusive work environment. E Ink is committed to protecting the privacy of its employees and candidates for employment. Pursuant to the California Privacy Rights Act, please see our E Ink Corporation CPRA Notice at Collection and E Ink Corporation California Resident Privacy Policy Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.