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Senior Expert; m​/f​/x - Digital Materials Development

in 89269, Vöhringen, Bayern, Deutschland
Unternehmen: Wieland-Gruppe
Vollzeit position
Verfasst am 2026-02-17
Berufliche Spezialisierung:
  • Ingenieur
    AI Künstliche Intelligenz, Forschungswissenschaftler
Stellenbeschreibung
Stellenbezeichnung: Senior Expert (m/f/x) - Digital Materials Development
Location: Vöhringen

Senior Expert (m/f/x) - Digital Materials Development

Wieland-Werke AG I Vöhringen I Corporate Function Sustainability & Technology I Ident. Code I ab sofort

Unleash potential.

Copper connects the world - in technologies, such as eMobility, energy and data transfer, refrigeration and air conditioning technology, digitalization and the Internet of Things. Surprise us with your fresh thinking, new impulses and shape the world of tomorrow. Discover numerous opportunities to unleash your potential.

Wieland stands for diversity and equal opportunities - for this reason, we welcome individual applications regardless of age, gender, nationality, religion, ethnic and social background. Senior Expert (m/f/x) - Digital Materials Development

Your Future

  • Innovation: You actively shape the future of digital materials development and accelerate the path toward computer-aided material and process design (Integrated Computational Materials Engineering - ICME). In this role, you work in a highly innovative, international environment, leverage cutting-edge technologies, and act as a central interface between Materials & Processes, Data & Simulation, and external research institutions.
  • Digital Materials Development: You create and optimize concepts for model- and data-driven materials and process development in nonferrous metals (Cu, Ti, Al) and assess their potential for production and R&D.
  • Project Leadership & Collaboration: You lead or co-lead internal and external projects, maintain technical exchanges with universities, research institutions, and partners, and manage alliances within consortia or collaborations.
  • Modeling & Data Science: You systematically model structure-property relationships (microstructure, mechanical and technological properties, damage mechanisms), develop hybrid models (physical + data-driven), and leverage machine learning (ML) and AI to optimize materials and processes.
  • Integration & Interfaces: You build interfaces between data sources, models, and production systems, integrate data into scalable pipelines, and connect experimental results with simulations.
  • Experimental Validation: You plan and coordinate data acquisition from manufacturing and laboratory environments, analyze the data, and use it for model validation, algorithm development, and process optimization.
  • Digital Navigator & Trend Monitoring: You track global technology trends, identify opportunities and synergies for digital materials development, and translate them into strategic recommendations for R&D.

Your Potential

  • Qualification: You hold a PhD/Doctorate in Computational Materials Science Engineering, Physics, Materials Science/Engineering, Metallurgy/Solid State Physics, Thermodynamics, or a comparable field. Postdoc experience, international research programs, or junior professorships are a plus.
  • Technical Expertise: You bring solid experience in digital materials and process development, particularly in material models, hybrid modeling (physical + data-driven), and the application of machine learning (ML) or neural networks (AI). Knowledge of nonferrous metals (Cu/Ti/Al) and metallurgical processes is advantageous.
  • Software & Data Skills: You are proficient in Python, SQL databases, and high-performance computing (HPC) and develop and maintain structured material and process databases. You are familiar with interfaces (APIs), materials databases, CAE software (e.g., ANSYS, COMSOL), and domain-specific ontologies (OWL/RDF).
  • Methodological Competence: You combine data-driven approaches with experimental validation and have experience in experimental planning, algorithm development, data integration, and statistical analysis of complex datasets.
  • Personality & Work Style: You collaborate closely with colleagues from multiple disciplines, particularly in the context of cutting-edge research, contributing effectively to the success of projects.
  • Internationality & Mobility: You are fluent in English, speak German at a professional level, and are willing to travel internationally, particularly to the USA.

Your Benefits

  • Development: A structured onboarding plan supports you in getting started. In addition, our online learning platform…
Stellen-Anforderungen
10+ Jahre Berufserfahrung
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