Development engineer in Materials design and Modelling

Sandvik Group; Stockholms kommun; On-site; SEK 700,000 - 1,000,000; Full time

Job summary

Sandvik Group is seeking an experienced materials modelling specialist to advance modelling and simulation in R&D, turning theory into practical improvements for materials development and testing.

You will drive complex modelling tasks, build data pipelines, and apply FEM/DFT and statistical techniques to analyse material behaviour, while collaborating with R&D, production and quality teams on-site in Västberga.

Qualifications

• MSc or PhD in Engineering, Physics, Materials Science, Applied Mathematics or related field.
• Strong expertise in numerical modelling and simulation, such as FEM, DFT or related methods.
• Experience in statistical analysis, data management and handling large datasets.
• Programming skills in tools such as Python, SQL, MATLAB or similar environments.
• Proven ability to connect models with experimental data and physical understanding.
• Independent and accountable professional who takes ownership of work while staying open, curious and collaborative; communicating complex results comes naturally and you enjoy working closely with others.

Responsibilities

• Develop, validate and apply advanced numerical models to support R&D decision‑making.
• Build and manage data structures for simulation parameters, outputs and metadata.
• Apply methods such as DFT, FEM and statistical modeling to analyze material behaviour and processes.
• Contribute to digitalisation through model integration, automation and data‑driven approaches.
• Collaborate with experts across R&D, production, quality and application.

Skills

Numerical modelling

FEM/DFT methods

Python

MATLAB

Data analysis

Communication of results

Education

MSc or PhD in Engineering/Physics/Materials Science/Applied Mathematics

Tools

Python

MATLAB

SQL

Job description

Do you thrive on solving complex materials challenges through advanced modeling and simulation? Here, your work turns advanced theory into real‑world impact, shaping how materials are developed, tested and improved within cutting‑edge R&D.

About the job

You contribute to product, process and materials development by applying advanced modeling and simulation expertise. You independently drive complex modelling tasks, support capability development in R&D, and continuously improve methods, tools and workflows to increase the quality and speed of our deliveries.

Job responsibilities

• Develop, validate and apply advanced numerical models to support R&D decision‑making.
• Build and manage data structures for simulation parameters, outputs and metadata.
• Apply methods such as DFT, FEM and statistical modeling to analyze material behaviour and processes.
• Contribute to digitalisation through model integration, automation and data‑driven approaches.
• Collaborate with experts across R&D, production, quality and application.

Location

This position is based on‑site in Västberga.

Your profile

You have a strong background within materials modelling and simulation and enjoy connecting theory with real‑world applications. With a structured and analytical mindset, you’re comfortable working with complex data and advanced numerical methods.

• MSc or PhD in Engineering, Physics, Materials Science, Applied Mathematics or related field.
• Strong expertise in numerical modelling and simulation, such as FEM, DFT or related methods.
• Experience in statistical analysis, data management and handling large datasets.
• Programming skills in tools such as Python, SQL, MATLAB or similar environments.
• Proven ability to connect models with experimental data and physical understanding.
• Independent and accountable professional who takes ownership of work while staying open, curious and collaborative; communicating complex results comes naturally and you enjoy working closely with others.

Contact information

Are you curious to know more about this position? Please contact Martina Levin, hiring manager, at [e-mail].

How to apply

Send your application no later than August 2, 2026. Click apply and include your resume and cover letter in English. Please note that we don’t accept applications by e‑mail. Job ID: R0091012.