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Schneider Electric

Global energy management and automation provider

Time Series Foundation Models for Predictive Optimization Intern

AI ResearchConfirmed live in the last 24 hours
InternshipNo salary listed

About the Job

Requirements

  • A Bac+5 qualification through an engineering school, master's degree, or equivalent in machine learning, artificial intelligence, operations research, mathematical optimization, or applied mathematics.
  • Proficiency in Python, machine learning, mathematical modeling, and optimization.
  • Good command of scientific libraries including PyTorch, NumPy, and pandas.

Responsibilities

  • Conduct a literature review on time-series foundation models applied to forecasting, control, and learning dynamic models.
  • Set up representative use cases based on Schneider Electric applications.
  • Integrate and evaluate multiple open-source time-series foundation models.
  • Evaluate forecasting capabilities in zero-shot, few-shot, and post-adaptation settings.
  • Study calibration and the quality of predictive distributions.
  • Develop and compare adaptation methods such as fine-tuning, LoRA, and decision-focused learning.
  • Explore using time-series foundation models to build surrogate models or world models.
  • Analyze robustness to measurement errors, drift, and contextual changes.
  • Define best practices and recommendations for using time-series foundation models in energy management systems.

Desired Qualifications

  • Experience or knowledge of time-series foundation models, forecasting, stochastic optimization, optimal control, reinforcement learning, and mathematical programming tools such as Pyomo, Gurobi, or HiGHS.
  • Professional-level English for daily communication in an international environment and reading and writing scientific articles.

About the Company

Schneider Electric

Global energy management and automation provider

Schneider Electric is a global specialist in energy management and automation. It helps homes, businesses, and industries run electricity more efficiently by selling electrical products, automation hardware, software, and related services. Its offerings cover electrification, automation, and digitization, and solutions connect devices, collect data, and control systems to optimize energy use in smart industries, resilient infrastructure, and data centers. The company distinguishes itself with a broad, end-to-end portfolio and a worldwide presence in over 100 countries, combining hardware, software, and services to address sustainability and reliability. Its goal is to help people and organizations use energy more efficiently, reduce environmental impact, and improve uptime and reliability.

Company size
10,001+
Company stage
IPO
Headquarters
Rueil-Malmaison, France
Founded
1836

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