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6 дней назад

Mandatory Internship/Bachelor Thesis/Master Thesis (m/f/d) Generative AI for Measurement

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Mandatory Internship/Bachelor Thesis/Master Thesis (m/f/d) Generative AI for Measurement (AI/Measurement Data): Developing an AI tool for measurement data analysis and KPI identification with an accent on literature research, current AI technologies, and measurement-data evaluation. Focus on testing, quality assurance, tool-chain integration, and documenting algorithms and processes.

Location: Aachen, Germany

Company

FEV develops efficient drive systems, connected vehicles, and intelligent safety systems with 5,600 employees worldwide.

What you will do

  • Research modern technologies and innovations in AI-based measurement-data analysis.
  • Evaluate current trends and technological developments in data analysis and artificial intelligence.
  • Develop an AI tool for measurement-data analysis and identify or derive KPIs for evaluation.
  • Collaborate with the team to integrate daily work content into the tool chain.
  • Conduct testing and quality assurance to ensure tool-chain performance and stability.
  • Document the developed tools, algorithms, and processes.

Requirements

  • Be an enrolled student in computer science, CES, automotive engineering, mechanical engineering, or a similar field.
  • Show enthusiasm for artificial intelligence and its practical application.
  • Have basic knowledge of artificial intelligence and automation and motivation to develop it further.
  • Work in a structured and independent manner while contributing creative ideas.
  • Have good analytical skills and be able to explain complex technical contexts clearly.
  • English at B2 level and German at C1 level required.

Nice to have

  • Knowledge of large language models and systems engineering.

Culture & Benefits

  • Full-time, fixed-term opportunity for students.
  • Flexible scheduling and an attractive remote-work model, subject to role and site conditions.
  • Continuing education opportunities and work on innovative mobility technologies.
  • Office daycare, company sports, and health-management programs where available.
  • Attractive base salary and additional benefits.

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