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R&D Scientist in Machine Learning for Simulations

Hitachi

R&D Scientist in Machine Learning for Simulations

full-timePosted: Jan 28, 2026

Job Description

Location:

Krakow, Lesser Poland, Poland

Job ID:

R0093642

Date Posted:

2025-05-26

Company Name:

HITACHI ENERGY POLAND SP. Z O.O.

Profession (Job Category):

Engineering & Science

Job Schedule: 

Full time

Remote:

No

Job Description:

The opportunity

For our research center in Kraków, Poland, we are looking for a Research Scientist with expertise in Machine Learning for Simulations to enhance simulation-based engineering processes and develop future applications for power grids. You will join a dynamic, motivated and creative team with a broad range of experience and competences. As part of our team, you will combine theory with practice, creating, testing and validating new technologies to enable the energy transition.

How You Will Make an Impact:   

  • Collaborate with a global team of researchers and engineers in Hitachi Energy business units to identify and solve real-world challenges for Machine Learning (ML) application to enhance simulation-based engineering processes.

  • Propose, contribute to and lead research projects related to ML-based improvements to numerical simulations, aiming to develop the next generations of products and systems for power grids.

  • Take a multidisciplinary approach to combine Machine Learning with numerical simulations, exploring and applying ML technologies to increase simulation efficiency.

  • Working with different simulation software tools, propose and develop ideas and concepts of new approaches for ML-driven simulation pipelines, fostering simulation processes automation and optimization.

  • Network in the company and actively distribute your knowledge and expertise.

  • Collaborate with local and global external partners including universities, open-source communities, startups and vendors.

  • Disseminate your results in scientific publications, patent applications, and technical reports.

Your background:

  • Master’s or PhD degree or equivalent industrial experience in Computer Science, Applied Mathematics, Engineering or any related field.

  • Experience with machine learning, artificial intelligence technologies, in particular in conjunction with numerical simulations. This includes creating surrogate models for simulations, increasing simulation efficiency, developing ML-driven improvements of the simulation process, making ML-based suggestions for input parameters.

  • Practical experience with designing, implementing, optimizing and running Machine Learning training and inference pipelines, ideally for industrial applications.

  • Understanding of the simulation process and the algorithms underlying simulation software solvers for CFD-type simulations (e.g., MATLAB, Abaqus, Ansys, COMSOL, etc.) and power grid simulations (e.g., PSCAD, etc.).

  • Programming experience with relevant Python packages.

  • Willingness to mix conceptual activities with hands-on work.

  • Willingness to take an interdisciplinary approach, working with experts from domains away from own area of expertise.

  • Experience that demonstrates your team-oriented, innovative, and strategic working styles

  • Fluency in English, both written and spoken.

In addition the following skills would be beneficial for the role:

  • Knowledge and experience spanning multiple disciplines (e.g., electrical, mechanical, fluid dynamics, thermodynamics).

  • Experience with optimization and model hyper-parameter tuning.

  • Experience in data science and visualization of data.

  • Programming experience (e.g. Python, C++, C#, Java, Rust), including software engineering.

  • Proven track record of publishing research in reputable scientific journals and conferences.

  • Experience in managing research projects, including planning, execution, and reporting.

  • Strong communication skills to effectively present research findings to both technical and non-technical audiences.

  • Knowledge and experience with products and systems for power grids, green energy and related fields

More about us 

We pride ourselves on offering a holistic range of competitive benefits to support your financial, physical and mental wellbeing and personal development. We want you to truly thrive with us, in work and out.

We can provide more information during the recruitment process.

We are committed to full transparency and compliance with all legal requirements, ensuring that every candidate knows exactly what to expect at each stage of the recruitment process. Once the process is successfully completed, we will share detailed information about financial conditions and benefits with the selected candidate. Before signing the employment contract, you will receive all remaining details of the offer, giving you the time and space to review everything carefully.

*Applicable  only for Poland location align with local law regulations.



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. 

Locations

  • Krakow, Lesser Poland, Poland

Salary

Estimated Salary Rangemedium confidence

60,000 - 90,000 USD / yearly

Source: Rule based Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine learning and artificial intelligence, especially with numerical simulations (surrogate models, efficiency improvements)intermediate
  • Designing, implementing, optimizing Machine Learning training and inference pipelinesintermediate
  • Simulation software (MATLAB, Abaqus, Ansys, COMSOL, PSCAD)intermediate
  • Python programmingintermediate
  • Optimization and model hyper-parameter tuningintermediate
  • Data science and visualizationintermediate
  • Programming (Python, C++, C#, Java, Rust)intermediate
  • Knowledge of electrical, mechanical, fluid dynamics, thermodynamicsintermediate
  • Power grids, green energy systemsintermediate
  • Scientific publishingintermediate
  • Research project managementintermediate
  • Strong communication skillsintermediate

Required Qualifications

  • Master’s or PhD degree or equivalent industrial experience in Computer Science, Applied Mathematics, Engineering or any related field (experience)
  • Experience with machine learning, artificial intelligence technologies, in particular in conjunction with numerical simulations (experience)
  • Practical experience with designing, implementing, optimizing and running Machine Learning training and inference pipelines, ideally for industrial applications (experience)
  • Understanding of the simulation process and the algorithms underlying simulation software solvers for CFD-type simulations (e.g., MATLAB, Abaqus, Ansys, COMSOL, etc.) and power grid simulations (e.g., PSCAD, etc.) (experience)
  • Programming experience with relevant Python packages (experience)
  • Willingness to mix conceptual activities with hands-on work (experience)
  • Willingness to take an interdisciplinary approach, working with experts from domains away from own area of expertise (experience)
  • Experience that demonstrates your team-oriented, innovative, and strategic working styles (experience)
  • Fluency in English, both written and spoken (experience)

Responsibilities

  • Collaborate with a global team of researchers and engineers in Hitachi Energy business units to identify and solve real-world challenges for Machine Learning (ML) application to enhance simulation-based engineering processes
  • Propose, contribute to and lead research projects related to ML-based improvements to numerical simulations, aiming to develop the next generations of products and systems for power grids
  • Take a multidisciplinary approach to combine Machine Learning with numerical simulations, exploring and applying ML technologies to increase simulation efficiency
  • Working with different simulation software tools, propose and develop ideas and concepts of new approaches for ML-driven simulation pipelines, fostering simulation processes automation and optimization
  • Network in the company and actively distribute your knowledge and expertise
  • Collaborate with local and global external partners including universities, open-source communities, startups and vendors
  • Disseminate your results in scientific publications, patent applications, and technical reports

Benefits

  • general: Holistic range of competitive benefits to support your financial, physical and mental wellbeing and personal development

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Hitachi  logo

R&D Scientist in Machine Learning for Simulations

Hitachi

R&D Scientist in Machine Learning for Simulations

full-timePosted: Jan 28, 2026

Job Description

Location:

Krakow, Lesser Poland, Poland

Job ID:

R0093642

Date Posted:

2025-05-26

Company Name:

HITACHI ENERGY POLAND SP. Z O.O.

Profession (Job Category):

Engineering & Science

Job Schedule: 

Full time

Remote:

No

Job Description:

The opportunity

For our research center in Kraków, Poland, we are looking for a Research Scientist with expertise in Machine Learning for Simulations to enhance simulation-based engineering processes and develop future applications for power grids. You will join a dynamic, motivated and creative team with a broad range of experience and competences. As part of our team, you will combine theory with practice, creating, testing and validating new technologies to enable the energy transition.

How You Will Make an Impact:   

  • Collaborate with a global team of researchers and engineers in Hitachi Energy business units to identify and solve real-world challenges for Machine Learning (ML) application to enhance simulation-based engineering processes.

  • Propose, contribute to and lead research projects related to ML-based improvements to numerical simulations, aiming to develop the next generations of products and systems for power grids.

  • Take a multidisciplinary approach to combine Machine Learning with numerical simulations, exploring and applying ML technologies to increase simulation efficiency.

  • Working with different simulation software tools, propose and develop ideas and concepts of new approaches for ML-driven simulation pipelines, fostering simulation processes automation and optimization.

  • Network in the company and actively distribute your knowledge and expertise.

  • Collaborate with local and global external partners including universities, open-source communities, startups and vendors.

  • Disseminate your results in scientific publications, patent applications, and technical reports.

Your background:

  • Master’s or PhD degree or equivalent industrial experience in Computer Science, Applied Mathematics, Engineering or any related field.

  • Experience with machine learning, artificial intelligence technologies, in particular in conjunction with numerical simulations. This includes creating surrogate models for simulations, increasing simulation efficiency, developing ML-driven improvements of the simulation process, making ML-based suggestions for input parameters.

  • Practical experience with designing, implementing, optimizing and running Machine Learning training and inference pipelines, ideally for industrial applications.

  • Understanding of the simulation process and the algorithms underlying simulation software solvers for CFD-type simulations (e.g., MATLAB, Abaqus, Ansys, COMSOL, etc.) and power grid simulations (e.g., PSCAD, etc.).

  • Programming experience with relevant Python packages.

  • Willingness to mix conceptual activities with hands-on work.

  • Willingness to take an interdisciplinary approach, working with experts from domains away from own area of expertise.

  • Experience that demonstrates your team-oriented, innovative, and strategic working styles

  • Fluency in English, both written and spoken.

In addition the following skills would be beneficial for the role:

  • Knowledge and experience spanning multiple disciplines (e.g., electrical, mechanical, fluid dynamics, thermodynamics).

  • Experience with optimization and model hyper-parameter tuning.

  • Experience in data science and visualization of data.

  • Programming experience (e.g. Python, C++, C#, Java, Rust), including software engineering.

  • Proven track record of publishing research in reputable scientific journals and conferences.

  • Experience in managing research projects, including planning, execution, and reporting.

  • Strong communication skills to effectively present research findings to both technical and non-technical audiences.

  • Knowledge and experience with products and systems for power grids, green energy and related fields

More about us 

We pride ourselves on offering a holistic range of competitive benefits to support your financial, physical and mental wellbeing and personal development. We want you to truly thrive with us, in work and out.

We can provide more information during the recruitment process.

We are committed to full transparency and compliance with all legal requirements, ensuring that every candidate knows exactly what to expect at each stage of the recruitment process. Once the process is successfully completed, we will share detailed information about financial conditions and benefits with the selected candidate. Before signing the employment contract, you will receive all remaining details of the offer, giving you the time and space to review everything carefully.

*Applicable  only for Poland location align with local law regulations.



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. 

Locations

  • Krakow, Lesser Poland, Poland

Salary

Estimated Salary Rangemedium confidence

60,000 - 90,000 USD / yearly

Source: Rule based Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine learning and artificial intelligence, especially with numerical simulations (surrogate models, efficiency improvements)intermediate
  • Designing, implementing, optimizing Machine Learning training and inference pipelinesintermediate
  • Simulation software (MATLAB, Abaqus, Ansys, COMSOL, PSCAD)intermediate
  • Python programmingintermediate
  • Optimization and model hyper-parameter tuningintermediate
  • Data science and visualizationintermediate
  • Programming (Python, C++, C#, Java, Rust)intermediate
  • Knowledge of electrical, mechanical, fluid dynamics, thermodynamicsintermediate
  • Power grids, green energy systemsintermediate
  • Scientific publishingintermediate
  • Research project managementintermediate
  • Strong communication skillsintermediate

Required Qualifications

  • Master’s or PhD degree or equivalent industrial experience in Computer Science, Applied Mathematics, Engineering or any related field (experience)
  • Experience with machine learning, artificial intelligence technologies, in particular in conjunction with numerical simulations (experience)
  • Practical experience with designing, implementing, optimizing and running Machine Learning training and inference pipelines, ideally for industrial applications (experience)
  • Understanding of the simulation process and the algorithms underlying simulation software solvers for CFD-type simulations (e.g., MATLAB, Abaqus, Ansys, COMSOL, etc.) and power grid simulations (e.g., PSCAD, etc.) (experience)
  • Programming experience with relevant Python packages (experience)
  • Willingness to mix conceptual activities with hands-on work (experience)
  • Willingness to take an interdisciplinary approach, working with experts from domains away from own area of expertise (experience)
  • Experience that demonstrates your team-oriented, innovative, and strategic working styles (experience)
  • Fluency in English, both written and spoken (experience)

Responsibilities

  • Collaborate with a global team of researchers and engineers in Hitachi Energy business units to identify and solve real-world challenges for Machine Learning (ML) application to enhance simulation-based engineering processes
  • Propose, contribute to and lead research projects related to ML-based improvements to numerical simulations, aiming to develop the next generations of products and systems for power grids
  • Take a multidisciplinary approach to combine Machine Learning with numerical simulations, exploring and applying ML technologies to increase simulation efficiency
  • Working with different simulation software tools, propose and develop ideas and concepts of new approaches for ML-driven simulation pipelines, fostering simulation processes automation and optimization
  • Network in the company and actively distribute your knowledge and expertise
  • Collaborate with local and global external partners including universities, open-source communities, startups and vendors
  • Disseminate your results in scientific publications, patent applications, and technical reports

Benefits

  • general: Holistic range of competitive benefits to support your financial, physical and mental wellbeing and personal development

Target Your Resume for "R&D Scientist in Machine Learning for Simulations" , Hitachi

Get personalized recommendations to optimize your resume specifically for R&D Scientist in Machine Learning for Simulations. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "R&D Scientist in Machine Learning for Simulations" , Hitachi

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Answer 10 quick questions to check your fit for R&D Scientist in Machine Learning for Simulations @ Hitachi .

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.