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R&D Scientist - Mechanical simulation specialist

ABB

R&D Scientist - Mechanical simulation specialist

ABB

Krakow, Lesser Poland, Poland

·

On-site

·

Full-time

·

5d ago

Required Skills

Python

Go

Machine Learning

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This position reports to:

Team Leader

__

Electrification provides leading electrical distribution and management technologies, solutions and services to electrify the world in a safe, smart and sustainable way. The portfolio includes medium- and low-voltage electrical components, switchgear, digital devices, enclosures, and circuit breakers, among others. With our products, solutions and services, we collaborate with customers to improve power delivery and security, enhance energy management, efficiency and operational reliability, as we seek to achieve a low carbon society. go.abb/electrification.

You will play a key role in delivering high‑quality Electrification solutions for customers around the world. As a member of our simulation team, you will apply your technical expertise to support the design, optimization and development of innovative products that remain at the forefront of the industry.

About ABB Electrification: https://bit.ly/2ITfAL4

The work model for the role is: hybrid

You will be mainly accountable for:

  • Cooperation with international design teams on development and optimization of new ABB electrification products including switchgears, apparatus and others
  • Carry out FEM simulations based on 2D/3D CAD models on single components as well as large assemblies
  • Design and simulations of multibody (rigid, flexible) systems
  • Carry out Multiphysics simulations covering plastic processing and electrical phenomena
  • Documentation of simulations results and suggestions for design improvement

Qualifications for the role:

  • University degree in mechanical engineering or related discipline
  • Experience in FEA (ABAQUS/ NASTRAN/ ANSYS): static/dynamic, modal; ability to simulate large assemblies
  • Experience in multibody simulations of large assemblies
  • Experience in CAD modeling (Solid Works, Creo/Parametric): solid and surface modeling
  • Fundamentals of strength of materials – ability to perform hand calculations for basic structural members
  • Basic knowledge in area of electrical engineering (required to understand the ABB products specifications and design requirements)
  • Ability to utilize standards e.g. IEC, IEEE, Eurocode
  • Good command of English and strong communication skills
  • Nice to have knowledge of fatigue simulations, basic Python/Fortran for ABAQUS, thermoplastic injection molding simulations, electromechanical device development, and machine learning

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.

Ready to make an impact?

Apply today or visit

https: //www.abb.com to learn more about the impact of our solutions across the globe.

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About ABB

ABB

ABB

Public

ABB is a multinational technology corporation that provides electrification, robotics, automation, and motion solutions for industrial and infrastructure applications.

10,001+

Employees

Zurich

Headquarters

Reviews

3.5

3 reviews

Work Life Balance

3.0

Compensation

2.0

Culture

2.5

Career

3.5

Management

2.0

35%

Recommend to a Friend

Pros

Award ceremonies and achievement recognition

Professional experience opportunities

Relevant marketing and writing experience

Cons

Awards only recognize sales and leadership teams

Auxiliary departments excluded and understaffed

No cost of living raises provided

Salary Ranges

405 data points

Mid/L4

Senior/L5

Mid/L4 · Project Manager

102 reports

$117,433

total / year

Base

$109,179

Stock

-

Bonus

$8,254

$79,130

$175,443

Interview Experience

5 interviews

Difficulty

3.8

/ 5

Duration

14-28 weeks

Offer Rate

20%

Experience

Positive 0%

Neutral 60%

Negative 40%

Interview Process

1

Application Review

2

Phone Screen

3

Technical Interview

4

System Design/Panel Interview

5

Onsite/Final Round

6

Offer Decision

Common Questions

Technical Knowledge

System Design

Behavioral/STAR

Past Experience

Problem Solving