{"id":1310021,"url":"https://alion.io/job/c1-green-chemicals-ag-internship-thesis-process-simulation","title":"Internship / Thesis - Process Simulation","company":{"id":2233399,"name":"C1 Green Chemicals AG","domain":"carbon.one","url":"https://alion.io/company/carbon-one","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":69000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":66},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-03-27T13:45:53Z","employer_posted_date":"2026-03-27","last_verified_at":"2026-11-11T12:11:02Z","board_verified":true,"closed_at":null,"days_open":229,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":228},"description":"Your mission\nWhy do an internship with us?You don’t want to run simulations just for slides - you want your work to influence real decisions? At C1 Green Chemicals, your models directly support process concepts that move from equations to pilot-scale reality. What you build here has measurable impact on how sustainable chemical processes are designed.\nAbout us\nCl Green Chemicals AG develops and scales new chemical processes from lab to pilot scale. Our teams span catalysis, synthesis, engineering and technical operations. Simulation plays a key role in deciding which technologies are built, tested and scaled - not as theory, but as a practical engineering tool.\nWhat you will do\nBuild and run steady-state and/or dynamic process simulations\nIntegrate and adapt kinetic sub-models within existing simulation environments\nSupport early-stage technical assessments of process concepts\nAssist with CAPEX/OPEX estimations using existing templates and assumptions\nDocument assumptions, calculation paths and results in a clear, reproducible way\nDevelop small programming tools or scripts for data handling, analysis or reporting\nCollaborate closely with engineering and lab teams - your results will be used further\nYour profile\nMust-haves\nEnrolled in a Bachelor´s or Master’s program (chemical engineering, process engineering or similar)\nMandatory internship as required by your study regulations\nStrong fundamentals in thermodynamics, reaction engineering/kinetics and separations\nHands-on experience with process simulation software (e.g. Aspen Plus/HYSYS, gPROMS)\n Python skills (NumPy, Pandas, plotting, basic automation)\nAnalytical mindset, structured documentation and strong ownership of your tasks\nNice-to-haves\nExperience with dynamic simulation or model simplification\nExposure to pilot-scale or scale-up topics\nAdvanced AI skills, e.g. machine learning for parameter estimation, surrogate models, AI-based optimization or automated analysis of large simulation datasets\nCuriosity to question models and assumptions, not just run them\nWhy us?\nWhat we offer\nClose mentoring and clearly defined work packages with real impact\nHands-on work on actual engineering decisions, not academic exercises\nModern tools and structured methods at the interface of simulation and engineering\nInsight into building sustainable chemical technologies up to pilot scale\nOption to continue with a Master’s thesis, if it’s a good fit\nCompensation according to company 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