# Working Student – Python Development for Aircraft Design Optimisation (all genders) at Ercsystem > Location unclear · Unspecified · Other · open. Source: https://alderhq.app/jobs/personio%3Aercsystem%3A2864587 (read 2026-11-08). ## Facts (observed) - Company: [Ercsystem](https://alderhq.app/companies/ercsystem) - Location text: eRC-System Office - Where it can be done from (inferred): Location unclear (evidence: "Location: eRC-System Office") - Posted: 2026-10-28 (11 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://ercsystem.jobs.personio.de/job/2864587 - Skills listed (inferred): Python ## Pay and sponsorship - Posted pay: not posted ## Description (the employer's text) ### ABOUT THE ROLE Help develop the Python tools behind early aircraft design decisions. You will build on ERC’s existing multi-objective design optimisation framework, extending its functionality and improving the engineering models used in initial aircraft sizing. A central part of your work is capturing the physical effects and design dependencies that matter early in development, and translating findings from higher-fidelity analyses, supplier data and testing into efficient models for sizing loops and optimisation studies. This helps ERC make better-informed design decisions early on. ### WHAT YOU WILL DO Develop Python functionality for aircraft sizing, design exploration and multi-objective optimisation Add and improve models for performance, aerodynamics, propulsion, energy and mass with the relevant engineers Capture the physical relationships, constraints and interactions that drive early design decisions at sizing-level detail Build and validate surrogate models based on higher-fidelity simulation results and engineering data Support trade studies by comparing aircraft concepts, investigating sensitivities and weighing competing design objectives Strengthen modularity, interfaces, documentation and testing so the framework stays reliable and easy to extend Create plots and summaries that help engineers interpret results, recognise model limitations and identify infeasible designs ### WHAT YOU BRING Current studies in aerospace or mechanical engineering, computer science, applied mathematics or a related discipline Practical Python experience and an interest in scientific computing An interest in aircraft design and the physics behind computational models Familiarity with numerical methods, data analysis or optimisation The habit of questioning assumptions, checking units and physical plausibility, and documenting model limitations A hands-on, self-reliant approach and the initiative to investigate problems and see them through Enjoyment of collaborating with engineers, sharing progress and seeking input when needed Moreover, it would be helpful if you also have worked with NumPy, SciPy, pandas or similar libraries have experience with Git and automated testing bring some exposure to surrogate modelling or multi-objective optimisation ### WHAT WE OFFER Full-scale aerospace engineering, not concept slides A 60+ engineer team at Ottobrunn Real ownership and flat hierarchies: a modern startup culture where your input shapes decisions, not just execution Flexible working hours, remote work, and competitive compensation Health & wellbeing: EGYM Wellpass membership and subsidized lunch in our canteen Office extras: espresso coffee, fresh fruit, and soft drinks, plus regular team and company events, and plenty more once you're on board --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Aercsystem%3A2864587 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.