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Internship in ML applied to Chemistry for Sustainable Power Systems 80 - 100% (f/m/d)

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Hitachi Energy

1mo ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development

AI generated summary

  • You must pursue an MSc in a relevant field, have machine learning and data analysis skills, Python proficiency, analytical abilities, and be team-oriented with strong English communication.
  • You will conduct literature surveys, develop machine learning models, optimize algorithms, analyze results, and collaborate with teams to validate findings and contribute to publications.

Requirements

  • Currently pursuing a MSc degree in Computer Science, Computational Science, Applied Mathematics, or a related field - official enrollment is essential.
  • Background in machine learning, optimization algorithms, and data analysis.
  • Proficiency in Python; experience with scientific computing libraries (e.g., NumPy, SciPy, scikit-learn) is highly desirable.
  • Familiarity with or willingness to learn concepts in computational chemistry and thermodynamics.
  • Experience with version control systems (e.g., Git) and collaborative coding practices.
  • Analytical skills and ability to work with complex, multidimensional data.
  • Excellent communication skills in English, both written and spoken.
  • A team-oriented working style and enthusiasm for interdisciplinary research.

Responsibilities

  • Conduct literature surveys and summarize state-of-the-art computational approaches for evaluating alternative insulating gases.
  • Develop and implement machine learning models to predict key properties of potential SF6 alternatives, such as dielectric strength, global warming potential, and toxicity.
  • Design and optimize algorithms for multi-objective optimization of gas mixtures, considering various parameters simultaneously.
  • Implement and refine estimation methods for properties of gas mixtures, including dew points and dielectric strength.
  • Analyze and interpret results, presenting findings to the research team and potentially contributing to scientific publications.
  • Collaborate with interdisciplinary teams, including chemists and electrical engineers, to validate computational results.

FAQs

What is the main focus of the internship position?

The internship focuses on finding alternatives to sulfur hexafluoride (SF6), a greenhouse gas used in electrical equipment, by applying machine learning and computational methods to evaluate potential insulating gases.

What educational background is required for this internship?

Candidates must be currently pursuing a MSc degree in Computer Science, Computational Science, Applied Mathematics, or a related field, with official enrollment being essential.

What skills are required for this internship?

Required skills include a background in machine learning, optimization algorithms, data analysis, proficiency in Python, familiarity with scientific computing libraries, and analytical skills to work with complex data.

Will there be opportunities to work collaboratively with other teams?

Yes, the internship involves collaboration with interdisciplinary teams, including chemists and electrical engineers, to validate computational results.

Is experience with version control systems necessary?

While not mandatory, experience with version control systems (such as Git) and collaborative coding practices is highly desirable.

What kind of projects will the intern be involved in?

The intern will conduct literature surveys, develop and implement machine learning models, optimize algorithms for gas mixtures, analyze and interpret results, and potentially contribute to scientific publications.

Are there opportunities for remote work in this internship?

Yes, the internship supports hybrid work, allowing for some remote work options.

What language skills are required for this position?

Excellent communication skills in English, both written and spoken, are required for this position.

How does this internship contribute to real-world impact?

The internship is focused on developing sustainable solutions for power systems, addressing critical environmental challenges in the energy sector through innovative computational approaches.

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Hitachi Energy

Hitachi Energy – Advancing a sustainable energy future for all

Manufacturing & Electronics
Industry
10,001+
Employees
2018
Founded Year

Mission & Purpose

Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future. We are advancing the world’s energy system to become more sustainable, flexible and secure whilst balancing social, environmental and economic value. Hitachi Energy has a proven track record and unparalleled installed base in more than 140 countries.