Airbus Defence and Space GmbH
Senior Software Engineer / Algorithmenentwickler (Tracking & Fusion, AI/ML-Integration)(m/w/x)
Full-timeOn-siteSenior
Ulm
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WIWieland-Werke AG
Senior Expert – Digital Materials Development(m/w/x)
Vöhringen
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Accelerating computer-aided material and process design for nonferrous metals in E-mobility and energy transmission. PhD in Computational Materials Science or Physics required, postdoc experience a plus. Cross-functional collaboration with research institutions.
Requirements
- PhD/Doctorate in Computational Materials Science Engineering, Physics, Materials Science/Engineering, Metallurgy/Solid State Physics, Thermodynamics, or comparable field
- Postdoc experience, international research programs, or junior professorships (advantageous)
- Solid experience in digital materials and process development
- Experience in material models
- Experience in hybrid modeling (physical + data-driven)
- Application of machine learning (ML) or neural networks (AI)
- Knowledge of nonferrous metals (Cu/Ti/Al) and metallurgical processes (advantageous)
- Proficiency in Python
- Proficiency in SQL databases
- Proficiency in high-performance computing (HPC)
- Ability to develop and maintain structured material and process databases
- Familiarity with interfaces (APIs)
- Familiarity with materials databases
- Familiarity with CAE software (e.g., ANSYS, COMSOL)
- Familiarity with domain-specific ontologies (OWL/RDF)
- Ability to combine data-driven approaches with experimental validation
- Experience in experimental planning
- Experience in algorithm development
- Experience in data integration
- Experience in statistical analysis of complex datasets
- Ability to collaborate closely with colleagues from multiple disciplines
- Contribution to project success in cutting-edge research
- Fluency in English
- Professional German language skills
- Willingness to travel internationally (particularly to USA)
Tasks
- Shape the future of digital materials development
- Accelerate computer-aided material and process design (ICME)
- Leverage cutting-edge technologies
- Act as a central interface between Materials & Processes, Data & Simulation, and external research institutions
- Create and optimize concepts for model- and data-driven materials development in nonferrous metals (Cu, Ti, Al)
- Assess potential for production and R&D
- Lead or co-lead internal and external projects
- Maintain technical exchanges with universities, research institutions, and partners
- Manage alliances within consortia or collaborations
- Systematically model structure-property relationships (microstructure, mechanical, technological properties, damage mechanisms)
- Develop hybrid models (physical + data-driven)
- Leverage ML and AI to optimize materials and processes
- Build interfaces between data sources, models, and production systems
- Integrate data into scalable pipelines
- Connect experimental results with simulations
- Plan and coordinate data acquisition from manufacturing and laboratory environments
- Analyze acquired data
- Use data for model validation, algorithm development, and process optimization
- Track global technology trends
- Identify opportunities and synergies for digital materials development
- Translate trends into strategic recommendations for R&D
Work Experience
- approx. 4 - 6 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Machine Learning
- Neural Networks
- Python
- SQL
- HPC
- APIs
- CAE software
- ANSYS
- COMSOL
- OWL
- RDF
Benefits
Mentorship & Coaching
- Structured onboarding plan
Learning & Development
- Online learning platform
Retirement Plans
- Company pension scheme
Family Support
- Christmas gifts for children
Corporate Discounts
- Employee gifts
- Employee discounts
Free or Subsidized Food
- Company cafeteria
Healthcare & Fitness
- Wellpass health program
- Company sports groups
- On-site medical staff
Mental Health Support
- Vital Workshop
- Free external counselling service
Ergonomic Workplace
- On-site occupational physicians
Other Benefits
- Orthopaedics Express Service
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Wieland-Werke AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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WIWieland-Werke AG
Senior Expert – Digital Materials Development(m/w/x)
Vöhringen
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Accelerating computer-aided material and process design for nonferrous metals in E-mobility and energy transmission. PhD in Computational Materials Science or Physics required, postdoc experience a plus. Cross-functional collaboration with research institutions.
Requirements
- PhD/Doctorate in Computational Materials Science Engineering, Physics, Materials Science/Engineering, Metallurgy/Solid State Physics, Thermodynamics, or comparable field
- Postdoc experience, international research programs, or junior professorships (advantageous)
- Solid experience in digital materials and process development
- Experience in material models
- Experience in hybrid modeling (physical + data-driven)
- Application of machine learning (ML) or neural networks (AI)
- Knowledge of nonferrous metals (Cu/Ti/Al) and metallurgical processes (advantageous)
- Proficiency in Python
- Proficiency in SQL databases
- Proficiency in high-performance computing (HPC)
- Ability to develop and maintain structured material and process databases
- Familiarity with interfaces (APIs)
- Familiarity with materials databases
- Familiarity with CAE software (e.g., ANSYS, COMSOL)
- Familiarity with domain-specific ontologies (OWL/RDF)
- Ability to combine data-driven approaches with experimental validation
- Experience in experimental planning
- Experience in algorithm development
- Experience in data integration
- Experience in statistical analysis of complex datasets
- Ability to collaborate closely with colleagues from multiple disciplines
- Contribution to project success in cutting-edge research
- Fluency in English
- Professional German language skills
- Willingness to travel internationally (particularly to USA)
Tasks
- Shape the future of digital materials development
- Accelerate computer-aided material and process design (ICME)
- Leverage cutting-edge technologies
- Act as a central interface between Materials & Processes, Data & Simulation, and external research institutions
- Create and optimize concepts for model- and data-driven materials development in nonferrous metals (Cu, Ti, Al)
- Assess potential for production and R&D
- Lead or co-lead internal and external projects
- Maintain technical exchanges with universities, research institutions, and partners
- Manage alliances within consortia or collaborations
- Systematically model structure-property relationships (microstructure, mechanical, technological properties, damage mechanisms)
- Develop hybrid models (physical + data-driven)
- Leverage ML and AI to optimize materials and processes
- Build interfaces between data sources, models, and production systems
- Integrate data into scalable pipelines
- Connect experimental results with simulations
- Plan and coordinate data acquisition from manufacturing and laboratory environments
- Analyze acquired data
- Use data for model validation, algorithm development, and process optimization
- Track global technology trends
- Identify opportunities and synergies for digital materials development
- Translate trends into strategic recommendations for R&D
Work Experience
- approx. 4 - 6 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Machine Learning
- Neural Networks
- Python
- SQL
- HPC
- APIs
- CAE software
- ANSYS
- COMSOL
- OWL
- RDF
Benefits
Mentorship & Coaching
- Structured onboarding plan
Learning & Development
- Online learning platform
Retirement Plans
- Company pension scheme
Family Support
- Christmas gifts for children
Corporate Discounts
- Employee gifts
- Employee discounts
Free or Subsidized Food
- Company cafeteria
Healthcare & Fitness
- Wellpass health program
- Company sports groups
- On-site medical staff
Mental Health Support
- Vital Workshop
- Free external counselling service
Ergonomic Workplace
- On-site occupational physicians
Other Benefits
- Orthopaedics Express Service
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Wieland-Werke AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Wieland-Werke AG
Industry
Manufacturing
Description
Das Unternehmen verbindet die Welt in Technologien wie E-Mobilität, Energie- und Datenübertragung sowie Digitalisierung.
Not a perfect match?
- Airbus Defence and Space GmbH
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Senior Systems Engineer (Requirements & Defect Manager)(m/w/x)
Full-timeOn-siteSeniorUlm - Bosch Rexroth AG
Graduate Specialist Program - Entwicklung mit Schwerpunkt Werkstoffe und Wärmebehandlung(m/w/x)
Full-timeOn-siteNot specifiedElchingen