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Capgemini

Global consulting, technology services, outsourcing

Multidisciplinary Optimization Intern

Data ScienceUpdated on Nov 14
InternshipBlagnac, FranceNo salary listedIn-person

About the Job

Requirements

  • You are preparing a bac+5-level diploma at an engineering school or university, specializing in applied mathematics, numerical methods, or scientific computing.
  • No professional experience is required.
  • You understand the principles of constrained optimization, surrogate models, and numerical methods.
  • You have object-oriented programming skills, particularly in Python, C, or C++, and ideally know GEMSEO, OpenMDAO, or MATLAB.
  • Your English level is at least B2.

Responsibilities

  • Implement multidisciplinary optimization algorithms suited to multi-objective problems with mixed variables and uncertainty considerations.
  • Validate selected optimization methods using numerical models and scientific computations.
  • Develop and use surrogate models to accelerate analysis and optimization of the systems studied.
  • Compare optimization tools and methods, including GEMSEO and OpenMDAO, and document the findings of technology monitoring.
  • Program and document the work performed in collaboration with the team.

Desired Qualifications

  • A first academic or internship experience in constrained optimization, numerical modeling, or life cycle analysis is appreciated.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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