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10 дней назад

MBSE & Digital Twin Specialist (Internship)

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Canada
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
MBSE & Digital Twin Specialist (Internship) (MBSE/Digital Twin): Contributing to system models, requirements traceability, BIM integration, and Digital Twin use cases for transportation engineering projects with an accent on systems engineering, data integration, and asset performance. Focus on developing dashboards and analytical tools, improving data quality, and evaluating emerging technologies.

Location: Montréal, Canada; Workplace type: Hybrid

Company

International consulting and engineering group focused on transportation infrastructure and passenger and freight mobility solutions.

What you will do

  • Structure project system models and support the management of requirements, interfaces, and use cases.
  • Help integrate MBSE tools with other digital engineering platforms.
  • Define and implement Digital Twin use cases.
  • Integrate BIM, systems, and operations data.
  • Develop dashboards and analytical tools while supporting data governance and data quality initiatives.
  • Identify innovations, evaluate new technologies, and monitor international best practices in MBSE and Digital Twin.

Requirements

  • Engineering degree or Master’s degree equivalent to a five-year university degree.
  • Knowledge of complex systems, systems engineering, BIM, or data management.
  • Strong interest in Digital Twin and MBSE technologies.
  • Excellent communication skills in both French and English are required.

Nice to have

  • Knowledge of Power BI, SQL, or Python.

Culture & Benefits

  • Work in a diverse and inclusive workforce.
  • Employment equity is based on candidates’ and employees’ merits and abilities.
  • Work with French- and English-speaking clients across transportation and engineering projects.

Hiring process

  • Applications are supported by AI-enabled recruitment tools for resume parsing and candidate matching.
  • Applications are reviewed by a human recruiter, with final decisions made by the hiring team.

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