Scientist - Reliability Engineering (f/m/d)

Reposted 6 Days Ago
Be an Early Applicant
Dättwil, Baden, Aargau
In-Office
Expert/Leader
Fintech • Information Technology • Logistics
The Role
As a Scientist in Reliability Engineering, you'll innovate and validate methods to enhance the reliability of power grid components while collaborating globally and publishing findings.
Summary Generated by Built In

Location:

Baden-Daettwil, Aargau, Switzerland

Job ID:

R0100327

Date Posted:

2025-07-17

Company Name:

HITACHI ENERGY LTD

Profession (Job Category):

Engineering & Science

Job Schedule: 

Full time

Remote:

No

Job Description:

The Opportunity

Empower the Future with Hitachi Energy!

Join us as a Scientist in Reliability Engineering and become part of a passionate, dynamic, and innovative team driving the energy transition. We are seeking a skilled and motivated scientist to strengthen our research in the reliability of power grid components and systems. In this role, you will bridge theory and application—developing and validating cutting-edge methods and technologies that support a more sustainable energy future.
 

How you’ll make an impact

  • Drive innovation in reliability analysis, reliability improvement, and prognostics & health management for power grid components and systems

  • Apply advanced techniques by combining reliability engineering, physics-of-failure insights, data analysis, mathematical modelling, and system tools to enhance the reliability of mission-critical equipment

  • Collaborate globally with researchers and engineers across Hitachi Energy Research and business units to solve real-world challenges and identify opportunities for improvement

  • Build strong networks within the company and with external partners, including universities, start-ups, and vendors

  • Share your knowledge through scientific publications, patent applications, and technical reports
     

Your background

  • PhD in Electrical Engineering, Applied Mathematics, Physics, Data Science, Mechanical Engineering, or a related field

  • Solid experience in one or more of the following areas is required: statistical and probabilistic modelling (e.g., Bayesian inference, Monte Carlo simulations), mathematical modelling and simulation (e.g., Markov chains, Poisson processes, Petri nets), data science and machine learning

  • Familiarity with reliability engineering methods or condition health monitoring in domains such as mechanical or electronics is a strong plus

  • Proven track record of scientific publications in top-tier journals and conferences

  • Fluency in English, both written and spoken
     

More about us 

At Hitachi Energy, we believe in the power of diversity and the potential of every individual. We are committed to creating an inclusive environment where everyone can thrive. Join us in shaping a more sustainable and reliable energy future.

Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response. 

Top Skills

Bayesian Inference
Data Science
Machine Learning
Mathematical Modeling
Monte Carlo Simulations
Probabilistic Modeling
Reliability Engineering
Statistical Modeling
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The Company
33,676 Employees

What We Do

Since its founding in 1910, Hitachi has responded to the expectations of society and its customers through technology and innovation. Our mission is to “Contribute to society through the development of superior, original technology and products.” Over the past 100+ years this commitment has led us to work towards creating a more sustainable society through our “Social Innovation Business”. We work to apply our expertise in information technology (IT), operational technology (OT), and a wide variety of products to advance social infrastructure systems and improve quality of life across the world.

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