Scientist - Tribology Modeling

Responsibilities

• Initiate tribological model development to support SKF’s Technology Strategy
• Develop and validate tribological models describing surface failure modes, considering contact conditions, materials, topography, and lubrication
• Create tribology models for predictive and prognostic tools
• Contribute to the development of next-generation bearing life models
• Act as a technical bridge between Tribology and other competence areas such as steels, coatings, and lubrication
• Coordinate Research and Technology Development Projects
• Transfer knowledge to less senior colleagues and publish scientific articles in peer-reviewed journals

Requirements

• PhD in computational tribology or a related field with significant modeling experience
• 10+ years of relevant professional experience post-PhD
• Expertise in Elasto-hydrodynamic (EHL) modeling
• Broad knowledge of theoretical solid and fluid mechanics
• Proficiency in advanced numerical methods (e.g., FFT, Boundary Integral Method, or Finite Element Method)
• Practical experience in in-house code development using modern programming languages
• Demonstrated experience in modeling elastic-plastic contact between rough surfaces under mixed lubrication
• Strong stakeholder management and leadership skills
• Fluency in English with excellent communication skills

Preferred Qualifications

• Knowledge of multiscale physics of contact problems
• Experience developing physics-informed neural network-based methods for solving partial differential equations
• Outstanding scientific publication record in top peer-reviewed journals

About the Company

SKF is one of the world’s largest global suppliers of bearings and supporting solutions for rotating equipment. With over 40,000 employees in approximately 130 countries, SKF provides essential solutions for movement in society, helping to re-imagine rotation for a better tomorrow.