Graduate Intern - Focused Ion Beam, Electron Microscopy, and Autonomous Characterization

Posting Title Graduate Intern – Focused Ion Beam, Electron Microscopy, and Autonomous Characterization Location CO - Golden Position Type Intern (Fixed Term) Hours Per Week 40 Working at NLR NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the Rockies (NLR), where world‑class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost‑effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission‑driven environment supported by state‑of‑the‑art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well‑being. Job Description The MICRO Research Group at the National Laboratory of the Rockies (NLR) has an opening for a B.S. - graduate intern to support cutting‑edge work in focused ion beam (FIB) and plasma FIB (PFIB) instrumentation, with particular emphasis on our one‑of‑a‑kind autonomous laser‑integrated PFIB platform. This instrument represents a unique national capability — combining laser‑assisted sample preparation with AI‑driven automation in a configuration unavailable elsewhere in the U.S. research community. The intern will contribute to both the operation and advancement of this platform, assisting with instrument maintenance, calibration, and scripting workflows that extend its autonomous capabilities. Work will draw on principles from materials science, physics, and chemistry to support a range of characterization and sample preparation tasks — including time‑sensitive customer assignments requiring clear documentation and short‑turnaround reporting. Working alongside staff scientists and engineers in a multidisciplinary national laboratory environment, the intern will develop and validate computer vision pipelines — including semantic segmentation models — for automated site identification, sample quality assessment, and adaptive ion beam milling strategies. Integration of foundation models and large language models (LLMs) to interpret instrument feedback and guide autonomous decision‑making is an area of active development and a valued area of expertise. Responsibilities include: Assist with maintenance, calibration, and performance validation of FIB, PFIB, and laser PFIB instruments, following established procedures and safety protocols. Develop and test Python‑based instrument scripting and automation routines for ion beam control, image acquisition, and adaptive workflow execution. Build and validate computer vision pipelines — including semantic segmentation models — for real‑time site identification, feature detection, and sample quality assessment during FIB/PFIB operations. Support time‑sensitive customer characterization assignments, including sample preparation, data collection, and preparation of concise technical reports on short turnaround. Explore integration of foundation models and large language models (LLMs) for natural language instrument interfacing, automated reporting, and AI‑guided experimental decision‑making. Collaborate with multidisciplinary staff across materials science, physics, chemistry, and engineering; document methods and contribute to internal reports and peer‑reviewed publications as appropriate. We’re looking for an intern to work onsite 30-40 hours per week for at least 6 months, with the opportunity to extend. Basic Qualifications Minimum of a 3.0 cumulative grade point average. Undergraduate: Must be enrolled as a full‑time student in a bachelor’s degree program from an accredited institution. Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full‑time student in a master’s degree program from an accredited institution. Post Graduate: Earned a master’s degree within the past 12 months. Eligible for an internship period of up to one year. Graduate + PhD: Completed master’s degree and enrolled as PhD student from an accredited institution. Please Note: Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process. If selected for position, a letter of recommendation will be required as part of the hiring process. Must meet educational requirements prior to employment start date. *** Must meet educational requirements prior to employment start date.** Additional Required Qualifications Strong background in materials science, physics, chemistry, engineering, or a closely related discipline at the master’s level. Excellent written and verbal communication skills; demonstrated ability to produce clear technical documentation and meet reporting deadlines. Ability to work effectively in diverse, multidisciplinary research teams. Preferred Qualifications Prior experience with FIB, PFIB, SEM, TEM, or related electron/ion beam instrumentation, including operation, maintenance, or scripting. Proficiency in Python, including scripting for instrument control, data acquisition, or image processing. Experience with computer vision methods applied to scientific or engineering image data (e.g., segmentation, object detection, feature extraction). Familiarity with Thermo Fisher Scientific (or FEI) instruments (e.g., Helios platform) or equivalent Tescan, JEOL systems. Prior experience in a national laboratory, industrial R&D, or similarly structured research environment. Exposure to foundation models or large language models (LLMs) in a research or applied automation context. Experience with semantic segmentation frameworks (e.g., Segment Anything Model, U-Net, Mask R‑CNN) or related deep learning tools applied to scientific imaging. Job Application Submission Window The anticipated closing window for application submission is up to 30 days and may be extended as needed. Annual Salary Range (based on full‑time 40 hours per week) Job Profile: / Annual Salary Range: $44,500 - $71,200 NLR takes into consideration a candidate’s education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee’s salary history will not be used in compensation decisions. Benefits Summary Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits. ***** Based on eligibility rules Badging Requirement NLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement. Drug Free Workplace NLR is committed to maintaining a drug‑free workplace in accordance with the federal Drug‑Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre‑employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre‑employment drug test will include marijuana. If you test positive on the pre‑employment drug test, your offer of employment may be withdrawn. Submission Guidelines Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application. Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Reasonable Accommodations ( E-Verify E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce. Drug Free Workplace NLR is committed to maintaining a drug‑free workplace in accordance with federal Drug‑Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre‑employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre‑employment drug test will include marijuana. If you test positive on the pre‑employment drug test, your offer of employment may be withdrawn. #J-18808-Ljbffr National Laboratory of the Rockies