Graduate (Year‑Round) Internship – Digital Twin Development for Biorefinery ProcessesLocation: CO - GoldenPosition Type: Intern (Fixed Term)Hours Per Week: 40Job DescriptionThe Integrated Carbon Conversion Processes (ICCP) Group within NREL's Catalytic Carbon Transformation and Scale‑Up (CCTS) Center is looking for a Graduate Intern to support senior process engineers, modelers, and data scientists in developing a digital twin for an experimental biological and thermocatalytic conversion platform. The goal is to create a virtual representation of key unit operations, enabling real‑time monitoring, dynamic simulation, and predictive analytics for biomass and waste conversion to produce biofuels and bioproducts.ResponsibilitiesDesign and implement process models representing biomass conversion, upgrading, and separation unitsIntegrate sensor data and historical process data into the digital twin architectureDevelop simulation tools and dashboards for visualization, control, and scenario analysisContribute to model validation using pilot‑scale data and collaborate on experimental feedback loopsDocument assumptions, system architecture, and modeling workflows for reproducibility and team collaborationParticipate in team meetings and present regular progress updatesContribute toward peer‑reviewed manuscripts and other technical documentationBasic QualificationsMinimum of a 3.0 cumulative grade point averageUndergraduate: Must be enrolled as a full‑time student in a bachelor's degree program from an accredited institutionPost‑Undergraduate: Earned a bachelor's degree within the past 12 months; eligible for an internship period of up to one yearGraduate: Must be enrolled as a full‑time student in a master's degree program from an accredited institutionPost‑Graduate: Earned a master's degree within the past 12 months; eligible for an internship period of up to one yearGraduate + PhD: Completed master's degree and enrolled as a PhD student from an accredited institutionAdditional Required QualificationsThe candidate should be currently pursuing or recently completed a master's degree or be currently enrolled in a PhD program in computational sciences, computational engineering, mechanical engineering, chemical engineering, biological engineering, chemistry, biology, or a related fieldExperience programming in Python and/or C++; modeling chemical reactors (e.g., using Cantera) and integrating with computational fluid dynamics (CFD) frameworksPreferred QualificationsExperience building techno‑economic models using software platforms (e.g., Aspen Plus)Exposure to artificial intelligence/machine learning methods for process optimization or anomaly detectionExperience with digital twin platforms (e.g., AnyLogic, TwinCAT, Siemens Xcelerator)Interest in bioprocessing, energy systems, or sustainable technology developmentStrong problem‑solving, communication, and collaboration skillsAnnual Salary RangeJob Profile: / Annual Salary Range: $44,500 – $71,200Benefits SummaryMedical, dental, and vision insurance403(b) Employee Savings Plan with employer matchSick leave (where required by law)Eligibility for performance‑, merit‑, and achievement‑based awards that may include a monetary componentEligibility for relocation expense reimbursement for some positionsInternships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefitsEqual Opportunity EmployerAll qualified applicants will receive consideration for employment without regard to age, 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.#J-18808-Ljbffr