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SISiemens AG

Chief Scientist / Fellow Research and Predevelopment(m/w/x)

Erlangen, Garching bei München, München
Full-timeWith Home OfficeSenior
AI/ML

Strategic research agenda setting for AI and automation domains at global technology conglomerate with 300,000+ employees. Ph.D. and global technical recognition in industrial research required. Hybrid work model, 30 days vacation.

Requirements

  • Ph.D. and global technical recognition
  • Leadership in industrial or applied research
  • Record of translating innovation into impact
  • Broad understanding of multiple technology domains
  • Ability to influence executive-level decisions
  • Connection to hands-on technical work
  • Experience mentoring engineers and scientists
  • Groundbreaking problem solving and business transformation
  • Skill in bridging science and application
  • Outstanding communication and inspiration skills
  • Passion for sustainable and ethical innovation

Tasks

  • Develop the Research and Predevelopment agenda
  • Guide core technology domains including AI and automation
  • Identify emerging areas defining future business
  • Advise the leadership team on technical strategy
  • Align research with global sustainability goals
  • Translate technological trends into innovation roadmaps
  • Define investment priorities for new technologies
  • Evaluate research programs for scientific quality
  • Ensure scalability and business relevance of programs
  • Set benchmarks for innovation and technical credibility
  • Maintain hands-on engagement in experimental research
  • Perform technical modeling, architecture, and prototyping
  • Publish and patent original scientific contributions
  • Mentor and coach a global network of experts
  • Lead technical reviews and internal symposia
  • Drive cross-domain collaboration initiatives
  • Foster a culture of curiosity and engagement
  • Represent Siemens at global scientific forums
  • Build partnerships with universities and research institutes
  • Collaborate with startups and standardization bodies
  • Catalyze external collaborations to accelerate innovation

Education

  • Doctoral / PhD

Languages

  • EnglishBusiness Fluent

Benefits

Flexible Working

  • Hybrid work model
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