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Working Student Electric Aircraft Propulsion Battery State Observation, Estimation and Prediction (all genders)

Vaeridion · Munich · Active · Personio

Job facts

FieldValue
CompanyVaeridion
TitleWorking Student Electric Aircraft Propulsion Battery State Observation, Estimation and Prediction (all genders)
Normalized title-
Department / teamTechnology / Intern & Working Student
LocationMunich
Work model-
Employment typePart Time
Salary-
Statusactive
ATS providerPersonio
Posted / first seen2026-04-16 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

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Department jobsActive postings in Technology.Open
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Linked records

CompanyVaeridion
Sourcefca693bd-4915-4bf1-8ba4-8adc78607531
ATS providerPersonio

Description

Your mission We are developing a next-generation electric aircraft propulsion system. Accurate real-time knowledge of the battery’s accessible energy, state of charge (SoC), state of health (SoH), and remaining useful energy is safety-critical for flight planning, in-flight energy management, and certification. As a Working Student for Electric Aircraft Propulsion Battery State Observation, Estimation and Prediction, you will join the VÆRIDION Technology team and be highly involved in the development and validation of battery state observers and predictors for our lithium-ion propulsion battery systems. This is a hands-on role combining modeling, simulation, algorithm development, and data analysis in a safety-critical aerospace environment. Your work will directly contribute to the development of the high-voltage battery system at the core of VÆRIDION’s electric propulsion architecture and its compliance with key aerospace standards. Your Day-to-Day Adapt and simulate  equivalent-circuit models of propulsion battery  cells and  packs, including thermal, aging, and  hysteresis  effects Develop, implement, and  validate  battery state estimation algorithms ,  e.g., Kalman filters ( EKF/UKF /SKF) ,  PF,  observers, or data-driven methods for SoC,  SoH ,  and other states of function Develop, implement, and  validate  state predictors for remaining flight time  or other indicators Ensure algorithms align with ED-289 requirements for state observers/predictors and ED-309 methodologies for energy level information to the crew (pre-flight planning and in-flight prediction) Analyze data from  virtual and physical  battery test benches  or  hardware-in-the-loop ( HiL ) setups Support integration of  estimator and predictor functions  into  real-time  battery management  software Document methods  and  validation results Collaborate with systems engineers,  embedded software engineers , and test teams Your profile Enrolled in a  Master’s  program  in Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Applied Mathematics, Control Engineering, or a related field B ackground in  control theory ,  state estimation (Kalman filtering, observers), or  system modeling Programming skills in  Matlab /Simulink  and optionally  C/C++ Knowledge of battery technology ( lithium-ion electrochemistry, equivalent circuit models, aging mechanisms )  and  battery  management is a  strong  plus Experience with  real-time simulation ,  HiL  testing , or  embedded systems  is  a plus Analytical mindset , attention to detail , and ability to work independently on sub-tasks A bility to  document technical work clearly Why us? Be part of an ambitious team determined to shape the future of aviation. Enjoy flexible working hours: we believe in ownership and trust. Subsidized EGYM Wellpass membership: your (mental) health is important for us. Enjoy a subsidized lunch with a 5€ company contribution per meal on office days. Boost your professional as well as personal growth executing your own ideas and independent projects. Join our internal social events and retreats (e.g. cooking, game nights, sports).

Full job record

Job ID0e14dfeb84e17193012e186e90b4214df95ed853
Org IDf58d8d2f-e538-48c8-ba76-757c7352f950
Source IDfca693bd-4915-4bf1-8ba4-8adc78607531
Board IDfca693bd-4915-4bf1-8ba4-8adc78607531
Providerpersonio
Provider Job Key2604095
TitleWorking Student Electric Aircraft Propulsion Battery State Observation, Estimation and Prediction (all genders)
Normalized Title
Statusactive
Activeyes
Location TextMunich
DepartmentTechnology
TeamIntern & Working Student
Employment Typepart_time
Workplace Type
Remote Policy
CountryMunich
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://vaeridion.jobs.personio.com/job/2604095?language=en
Apply URLhttps://vaeridion.jobs.personio.com/job/2604095?language=en
First Seen At2026-05-30 06:12:06Z
Last Seen At2026-06-06 07:52:12Z
Last Checked At2026-06-06 07:52:12Z
Last Changed At2026-05-30 06:12:06Z
Inactive At
Source Posted At2026-04-16 14:18:53Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=personio/board=vaeridion.com/date=2026-06-06/2026-06-06T07-52-11-898Z-51adc71ddcfb5276d34e4aba81c696c3f8006b1a4d844f7919e3c0382edea223.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
{
  "id": "2604095",
  "name": "Working Student Electric Aircraft Propulsion Battery State Observation, Estimation and Prediction (all genders)",
  "office": "Munich",
  "keywords": [],
  "schedule": "part-time",
  "createdAt": "2026-04-16T14:18:53+00:00",
  "seniority": "student",
  "department": "Technology",
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    {
      "name": "Your mission",
      "value": "We are developing a next-generation electric aircraft propulsion system. Accurate real-time knowledge of the battery’s accessible energy, state of charge (SoC), state of health (SoH), and remaining useful energy is safety-critical for flight planning, in-flight energy management, and certification. As a Working Student for Electric Aircraft Propulsion Battery State Observation, Estimation and Prediction, you will join the VÆRIDION Technology team and be highly involved in the development and validation of battery state observers and predictors for our lithium-ion propulsion battery systems. This is a hands-on role combining modeling, simulation, algorithm development, and data analysis in a safety-critical aerospace environment. <br>Your work will directly contribute to the development of the high-voltage battery system at the core of VÆRIDION’s electric propulsion architecture and its compliance with key aerospace standards."
    },
    {
      "name": "Your Day-to-Day",
      "value": "<ul><li><span><span>Adapt and simulate </span><span>equivalent-circuit models of propulsion battery </span><span>cells and </span><span>packs, including thermal, aging, and </span><span>hysteresis </span><span>effects</span></span></li><li><span><span>Develop, implement, and </span><span>validate </span><span>battery state estimation algorithms</span><span>, </span><span>e.g., Kalman filters</span><span>(</span><span>EKF/UKF</span><span>/SKF)</span><span>, </span><span>PF, </span><span>observers, or data-driven methods for SoC, </span><span>SoH</span><span>, </span><span>and other states of function</span></span></li><li><span><span>Develop, implement, and </span><span>validate </span><span>state predictors for remaining flight time </span><span>or other indicators</span></span></li><li><span><span>Ensure algorithms align with ED-289 requirements for state observers/predictors and ED-309 methodologies for energy level information to the crew (pre-flight planning and in-flight prediction)</span></span></li><li><span><span>Analyze data from </span><span>virtual and physical </span><span>battery test benches </span><span>or </span><span>hardware-in-the-loop (</span><span>HiL</span><span>) setups</span></span></li><li><span><span>Support integration of </span><span>estimator and predictor functions </span><span>into </span><span>real-time </span><span>battery management </span><span>software</span></span></li><li><span><span>Document methods </span><span>and </span><span>validation results</span></span></li><li><span><span>Collaborate with systems engineers, </span><span>embedded software engineers</span><span>, and test teams</span></span></li></ul>"
    },
    {
      "name": "Your profile",
      "value": "<ul><li><span><span>Enrolled in a </span><span>Master’s </span><span>program </span></span><span><span>in Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Applied Mathematics, Control Engineering, or a related field</span></span></li><li><span><span>B</span><span>ackground in </span></span><span><span>control theory</span></span><span><span>, </span></span><span><span>state estimation</span></span><span><span>(Kalman filtering, observers), or </span></span><span><span>system modeling</span></span></li><li><span><span>Programming skills in </span></span><span><span>Matlab</span><span>/Simulink </span></span><span><span>and optionally </span></span><span><span>C/C++</span></span></li><li><span><span>Knowledge of battery technology</span></span><span><span>(</span></span><span><span>lithium-ion electrochemistry, equivalent circuit models, aging mechanisms</span></span><span><span>) </span></span><span><span>and </span><span>battery </span><span>management is a </span><span>strong </span><span>plus</span></span></li><li><span><span>Experience with </span></span><span><span>real-time simulation</span></span><span><span>, </span></span><span><span>HiL </span><span>testing</span></span><span><span>, or </span></span><span><span>embedded systems </span></span><span><span>is </span><span>a plus</span></span></li><li><span><span>Analytical mindset</span></span><span><span>, attention to detail</span></span><span><span>, and ability to</span></span><span><span>work independently</span></span><span><span>on sub-tasks</span></span></li><li><span><span>A</span><span>bility to </span></span><span><span>document technical work clearly</span></span></li></ul>"
    },
    {
      "name": "Why us?",
      "value": "<ul style=\"border:0px solid;color:rgb(32,32,32);font-size:14px;font-style:normal;font-weight:400;text-transform:none;font-family:Inter, '-apple-system', BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';background-color:rgb(255,255,255);\"><li style=\"border:0px solid;margin:0px;font-size:14px;\"><span style=\"border:0px solid;margin:0px;\"><span style=\"border:0px solid;margin:0px;\">Be part of an ambitious team determined to shape the future of aviation.</span></span></li><li style=\"border:0px solid;margin:0px;font-size:14px;\"><span style=\"border:0px solid;margin:0px;\"><span style=\"border:0px solid;margin:0px;\">Enjoy flexible working hours: we believe in ownership and trust.</span></span></li><li style=\"border:0px solid;margin:0px;font-size:14px;\"><span style=\"border:0px solid;margin:0px;\"><span style=\"border:0px solid;margin:0px;\">Subsidized EGYM Wellpass membership: your (mental) health is important for us.</span></span></li><li style=\"border:0px solid;margin:0px;font-size:14px;\"><span style=\"border:0px solid;margin:0px;\"><span style=\"border:0px solid;margin:0px;\">Enjoy a subsidized lunch with a 5€ company contribution per meal on office days.<br style=\"border:0px solid;margin:0px;\"></span></span></li><li style=\"border:0px solid;margin:0px;font-size:14px;\"><span style=\"border:0px solid;margin:0px;\"><span style=\"border:0px solid;margin:0px;\">Boost your professional as well as personal growth executing your own ideas and independent projects.</span></span></li><li style=\"border:0px solid;margin:0px;font-size:14px;\"><span style=\"border:0px solid;margin:0px;\"><span style=\"border:0px solid;margin:0px;\">Join our internal social events and retreats (e.g. cooking, game nights, sports). </span></span></li></ul>"
    }
  ],
  "occupationCategory": "engineering",
  "recruitingCategory": "Intern & Working Student"
}
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