Engineering R&D - Process Optimization Intern

As an Engineering R&D - Process Optimization Intern, you will apply fundamental chemical engineering principles and employ data science methods to optimize processes, understand process behavior, and predict final product properties to help further develop and innovate Monolith’s methane pyrolysis process. Interested in learning more? Why you should be at Monolith:Inspiring work that makes a positive difference to the worldA collaborative and diverse team environment where everyone has a voice and is valued for their background and experienceDevelopment and training with plenty of opportunities to grow and learnAbility to make an impact at work, helping the company succeed and growWhy we want to know you:You have an eye for detail and will always uphold regulatory, company, and customer standardsTeam players only! We want someone who contributes to and promotes a team environmentCuriosity comes naturally to you. You aren’t afraid to ask questions and are eager to learnYou work well under pressure and can manage your time effectively to meet deadlinesYou have strong analytical skills and can interpret and make connections quicklyYou communicate effectively and can document and present your research findings to interdisciplinary teamsCurrently pursuing a PhD and completed at least 5 semesters in an accredited Chemical, Material, or Mechanical Engineering programCompleted coursework in Material and energy balances, Thermodynamics, Reaction kinetics, Transport phenomena, Combustion, Mechatronics, and Process Design and OptimizationFamiliar with material characterization techniques such as N2 sorption, SEM, TEM, XRD, etcProficient in Python and Panda’s librariesExperience in lab-scale experimental designWhat you'll do in this role:Perform an in-depth analysis of data from our R&D system to gain a comprehensive understanding of its operational characteristics and identify potential areas for improvementDetermine and prioritize critical process variables to enhance product quality and overall system performanceDevelop a computational code to simulate system behavior under various conditions, enabling the identification of critical system parametersCreate a data analysis tool to optimize system performancePerform other duties as assignedReady for a job that never feels boring? Send your resume now! Your environment: Work will be spent in an office environment and research and development lab. Monolith’s internship program is 12 weeks long, starting on May 19th and ending on August 8th. Flexibility with the program dates is subject to company approval.