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Open nowPosted 11 hours ago

Working Student – Python Development for Aircraft Design Optimisation (all genders)

eRC-System GmbH34 open roles

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eRC-System Office
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Your applicationOpen nowWorking Student – Python Development for Aircraft Design Optimisation (all genders)eRC-System GmbH · eRC-System Office
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The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market. eRC-System GmbH postings stay open a median of 6 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 11 hours ago

eRC-System GmbH median: 6 days open

The posting

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
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