Working Student Simulation Software Engineer

Ebenbuild
4 months ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Shift work
Languages
English, German

Job location

Tech stack

Computational Fluid Dynamics
Computer Simulation
Computer Programming
Medical Software
Python (Programming Language)
Simulation Software
Data Ingestion
GIT
Information Technology
Docker

Job description

In close cooperation with our simulation software engineering team, you will support the development, automation, and validation of our digital twin workflows. You will:

  • Assist in implementing and improving computational models to replicate (patho)-physiological processes of the pulmonary system in silico, drawing on methods from biomechanics as well as fluid and particle dynamics.
  • Contribute to tooling for automated model generation, calibration, and execution within our simulation pipeline.
  • Contribute to customer projects by assisting with the setup, execution, and analysis of simulation studies.
  • Support the maintenance and improvement of structured workflows for data ingestion, processing, and reporting to ensure smooth and reliable operations.

Requirements

Do you have experience in Python?, * Current Bachelor's or Master's student in engineering, computer science, physics, or a related discipline.

  • First experience or coursework in numerical methods, CFD, CFPD, or biomechanics.
  • Good programming skills in Python.
  • Familiarity with tools such as Git and Docker.
  • Interest in physiological modeling, medical software, and computational techniques.
  • Good written and verbal communication skills in English.
  • No German skills required.

Benefits & conditions

  • Start date: January or February 2026.
  • Working hours: > 15 h/week with flexible scheduling.
  • Location: Hybrid work is possible, with regular office attendance desirable to support collaboration.

About the company

We are a Munich-based startup building a digital twin platform for respiratory diseases - a monolithic digital toolset that elevates the actions of decision makers in healthcare and life sciences through physics-based simulation, AI, and data science. In the hands of industrial users, it fosters their understanding of pulmonary drug delivery to inform, accelerate and de-risk trial design and execution. In the hands of physicians, it will offer personalized treatment perspectives to improve the odds of survival and recovery in millions of cases of respiratory complication each year, such as Acute Respiratory Distress Syndrome (ARDS). Anywhere at any time.     If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.

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