Working Student Hardware Engineering – Model-Based Safety Analysis (TED-MeD)

The Problem

Modern electronics are becoming too complex for manual safety analysis.

Engineering teams design sophisticated systems using advanced digital tooling, yet much of the work required to analyse failures, identify single-point risks, and verify safe behaviour is still done manually.

This becomes especially problematic in medical devices and other safety-critical systems, where hidden faults and unexpected interactions can have real-world consequences.

Modelwise is changing that.

We are developing automated safety analysis software that uses model-based reasoning, simulation, and failure analysis to identify problems before they become one.

As part of the TED-MeD project, we are applying these methods to medical-device systems using MATLAB, Simulink, and circuit-level simulation environments.

This is a chance to become part of that change at an early stage, focussing on getting critical medical hardware to market faster and safer as part of our TED-MeD project.

Your Impact: Hiring Objectives

This role combines research-grade model-based safety analysis with practical hardware engineering.

• You will contribute both to the TED-MeD medical-device project and to Modelwise’s broader IC modelling infrastructure used for automated safety analysis across safety-critical electronics.
  
  

Develop and analyse system-level models.

Work extensively with MATLAB and Simulink models representing real electronic and medical-device systems.

Read, extend, validate, and analyse models under nominal and faulty conditions, including signal-flow and system-behaviour analysis.

• Build high-trust IC models. Model integrated circuits using manufacturer data, simulation results, and internal modelling standards. These models become part of the component library used for automated safety analysis.
• Deliver fault and failure analysis. Help analyse system behaviour under injected faults, parameter deviations, and component failures. Support FMEA-oriented analysis and single-point-failure identification using simulation-based methods.
• Work across system-level and circuit-level simulation. Use environments such as Simulink, LTspice, Siemens Xpedition, or similar tools to analyse behaviour at both abstraction and circuit level. Interpret waveforms, analyse failure propagation, and reason about interactions between electrical components and higher-level system models.
• Take ownership of technical problems. Contribute to modelling, simulation, and verification tasks, propose improvements, and help improve automated analysis workflows over time.
  
  

Essential Skills

Who We're Looking For

• Master’s student in electrical engineering, electronics, mechatronics, or similar
• Strong fundamentals in electrical circuits and circuit analysis
• Strong MATLAB and Simulink experience
• Ability to read and modify existing Simulink models
• Understanding of block-diagram-based system modelling and signal flow
• Ability to reason about system behaviour under faults and parameter changes
• Structured and analytical approach to technical problems
  
  

Preferred Skills

• Experience with LTspice or similar SPICE-based simulation tools
• Familiarity with FMEA concepts and failure analysis
• Interest in fault injection and faulty system behaviour
• Experience with simulation-based validation or model-based analysis
• Experience working with medical-device systems or modelling medical devices
• Familiarity with functional safety concepts or standards such as ISO 26262 or IEC 61508
• MATLAB scripting, Python, or similar programming experience
  
  

Why Modelwise?

• Work on real AI powered automated safety-analysis technology
• Contribute to production-grade and research-grade engineering work
• Gain early exposure to modelling, simulation, and failure analysis at system level
• Build skills increasingly central to modern hardware development
• Take responsibility earlier than typical student roles
• Be part of a growing start-up at the intersection of AI innovation and the hardest engineering challenges being faced right now, working with the best engineering organisations in the world
  
  

About Us

Modern aircraft, industrial systems, and autonomous vehicles depend on complex electronics behaving safely under failure.

Ensuring that happens is one of the hardest problems in engineering.

Yet much of safety analysis is still slow, manual, and difficult to scale- Modelwise is changing that.

We have developed the first mathematically complete platform for automated safety analysis, enabling engineers to analyse complex systems faster, earlier, and with far greater confidence.

Our mission is simple: make safety analysis as advanced as the systems it protects.

Modelwise is a spinout of the TUM between Munich and Silicon Valley.

We work with some of the most advanced engineering organizations in the world to help build safer hardware faster.

If you want to solve hard engineering problems and help change how safety-critical systems are developed, we should talk.