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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

11Open Positions

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  • R

    Student Assistant (f/m/non-binary) – Assistance on Battery Modeling in the Framework of Battery Power Prediction

    RWTH Aachen University
    Aachen, Germany
    Found 1 month ago
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    Braunschweig, Germany
    Found 2 weeks ago
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    Beyond Gravity
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    Found 2 weeks ago
  • PhD student in Dynamic of advanced composite materials for drones

    University of Applied Sciences and Arts of Southern Switzerland
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  • Student (f/m/x) - Structural calculation of helicopter rotor blades

    German Aerospace Center (DLR)
    Braunschweig, Germany
    Found 3 weeks ago
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    Sabena Engineering
    Gosselies, Belgium
    Found 4 weeks ago
  • WERKSTUDENT MATERIAL AND PROCESS ENGINEERING (D/F/M)

    Airbus Helicopters
    Donauwörth, Germany
    Found 1 month ago
  • ATR-Apprenticeship-MAP-STRUCTURES

    Airbus Helicopters
    Toulouse, France
    Found 1 month ago
  • Młodsza Konstruktorka / Młodszy Konstruktor w Dziale Technologiczności Konstrukcji – Staż

    Pratt & Whitney
    Rzeszów, Poland
    Found 1 month ago
  • ELI - Stage Structure Dept.

    Leonardo
    Brindisi, Italy
    Found 2 months ago
  • Stage 2026 - Bac Pro Aéronautique option structure : Ajusteur Monteur (ALL GENDER)

    Airbus
    Rochefort, France
    Found 2 months ago
  • ESA Graduate Trainee in Materials, Environments and Contamination Control

    European Space Agency - ESA
    Noordwijk, Netherlands
    Found 2 months ago
R

Student Assistant (f/m/non-binary) – Assistance on Battery Modeling in the Framework of Battery Power Prediction

RWTH Aachen University
Found 1 month ago
Location
Aachen, Germany
Duration (Months)
12 Months
Time
Part-time
Work Mode
Not disclosed
Salary
14.50 euros per hour
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • MATLAB
  • Python
  • Simulink

Soft Skills

  • independence
  • willingness to learn
  • sense of responsibility

Job Description

In hybrid and battery electric vehicles, power prediction plays an important role in vehicle efficiency and safety. During operation, it must be ensured that the traction battery is operating within a safe operating range in terms of voltage, temperature, SOC, and current. At the same time, optimum power should be available at all times, considering the boundary conditions. The development and testing of appropriate power prediction algorithms requires a simulation environment with a sufficiently accurate battery model. This work therefore revolves around the electrical characterization of different battery cell chemistries and the creation and validation of simulation models. Your specific tasks will be the following: * Familiarization with the subject area of battery modeling * Support with test setups for characterization measurements of lithium-ion cells, if necessary * Creation of battery models using toolchains developed at the institute * Data visualization and evaluation of characterization measurements * Model simulation in MATLAB/Simulink

Requirements

  • electrical engineering
  • industrial engineering EET
  • computer science
  • data science
  • comparable degree program
  • advanced skills in MATLAB or Python
  • high degree of independence
  • willingness to learn
  • sense of responsibility
  • good English skills

Related Field

  • Electrical Engineering

Related Subfield

  • Automotive Electrical Engineering

Languages

  • English

Nice to Haves

  • good German skills
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