FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Development Engineer – Materials Design and Modelling
Sandvik CoromantDevelopment engineer in Materials design and Modelling at Sandvik Coromant focusing on advanced modeling and simulation in materials development for R&D.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in numerical modeling and simulation, particularly with methods such as DFT and FEM, while effectively managing data structures and integrating models with experimental data. Strong analytical skills in statistical analysis and data management are essential for supporting R&D decision-making.
Highest-signal resume keywords
Numerical ModelingFinite Element Method (FEM)Density Functional Theory (DFT)Statistical AnalysisProgramming in Python
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Numerical ModelingFinite Element Method (FEM)Density Functional Theory (DFT)Statistical AnalysisData ManagementLarge Dataset HandlingModel IntegrationAutomationData-Driven Approaches
Soft Skills
CollaborationCommunication
Tools & Technologies
PythonSQLMATLAB
Industry Keywords
EngineeringPhysicsMaterials ScienceApplied MathematicsR&D
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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 behavior and processes
- Contribute to digitalization through model integration, automation and data-driven approaches
- Collaborate with experts across R&D, production, quality and application
Requirements
What you’ll need- MSc or PhD in Engineering, Physics, Materials Science, Applied Mathematics or similar
- Strong expertise in numerical modeling 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
Benefits
Comp & perks- Fair and rewarding benefits
- Opportunities for professional development