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(Senior) Scientist – AI and Graphs(m/w/x)
Bridging academic AI to industrial applications, enhancing asset reliability and process efficiency using graphs. PhD in computer science or related field, with deep graph AI/ML expertise required. Job ticket and job bike benefits.
Requirements
- PhD in computer science, mathematics, data science, or comparable field
- Deep expertise in graphs, knowledge graphs, ontology, graph neural networks, AI, and machine learning
- Hands-on experience with graph technologies, graph databases, graph modeling frameworks, and Natural Language Processing techniques
- Hands-on experience in software development and programming for data-driven solutions
- Acquaintance with Python; hands-on experience with MLOps and/or DevOps is beneficial
- Domain know-how in engineering fields, such as automation and control, mechanical engineering, and electrical engineering
- Proficient English skill; additional German skill is beneficial
- Cross-cultural communication skills, creativity, initiative, enthusiasm, and result-orientation
Tasks
- Bridge the gap between academic AI and industrial applications
- Adopt cutting-edge AI technologies to enhance industrial asset reliability
- Improve efficiency and resilience of industrial processes
- Drive the future of autonomous operations
- Explore the benefits of graphs for AI and machine learning solutions
- Work with diverse industrial data types, including textual, tabular, image, and time series data
- Build proof-of-concepts and prototypes to persuade stakeholders for commercialization
- Collaborate with end-customers to develop innovative industrial AI solutions
- Participate in agile applied-research projects with global product development teams
- Present work to expert and management audiences at conferences and trade fairs
- Secure intellectual property through patent applications
- Develop technical and soft skills to advance your career
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- neo4j
- GraphDB
- RDF
- OWL
- SHACL
Benefits
Learning & Development
- Training programs
Other Benefits
- Insurances
Retirement Plans
- Pension plans
- Retirement plan
Public Transport Subsidies
- Job ticket
Company Bike
- Job bike
Career Advancement
- Excellent development opportunities
- Various career opportunities
Free or Subsidized Food
- Canteen
Flexible Working
- Flexible work practices
Competitive Pay
- Employee share acquisition plan
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(Senior) Scientist – AI and Graphs(m/w/x)
Bridging academic AI to industrial applications, enhancing asset reliability and process efficiency using graphs. PhD in computer science or related field, with deep graph AI/ML expertise required. Job ticket and job bike benefits.
Requirements
- PhD in computer science, mathematics, data science, or comparable field
- Deep expertise in graphs, knowledge graphs, ontology, graph neural networks, AI, and machine learning
- Hands-on experience with graph technologies, graph databases, graph modeling frameworks, and Natural Language Processing techniques
- Hands-on experience in software development and programming for data-driven solutions
- Acquaintance with Python; hands-on experience with MLOps and/or DevOps is beneficial
- Domain know-how in engineering fields, such as automation and control, mechanical engineering, and electrical engineering
- Proficient English skill; additional German skill is beneficial
- Cross-cultural communication skills, creativity, initiative, enthusiasm, and result-orientation
Tasks
- Bridge the gap between academic AI and industrial applications
- Adopt cutting-edge AI technologies to enhance industrial asset reliability
- Improve efficiency and resilience of industrial processes
- Drive the future of autonomous operations
- Explore the benefits of graphs for AI and machine learning solutions
- Work with diverse industrial data types, including textual, tabular, image, and time series data
- Build proof-of-concepts and prototypes to persuade stakeholders for commercialization
- Collaborate with end-customers to develop innovative industrial AI solutions
- Participate in agile applied-research projects with global product development teams
- Present work to expert and management audiences at conferences and trade fairs
- Secure intellectual property through patent applications
- Develop technical and soft skills to advance your career
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- neo4j
- GraphDB
- RDF
- OWL
- SHACL
Benefits
Learning & Development
- Training programs
Other Benefits
- Insurances
Retirement Plans
- Pension plans
- Retirement plan
Public Transport Subsidies
- Job ticket
Company Bike
- Job bike
Career Advancement
- Excellent development opportunities
- Various career opportunities
Free or Subsidized Food
- Canteen
Flexible Working
- Flexible work practices
Competitive Pay
- Employee share acquisition plan
About the Company
ABB AG
Industry
Engineering
Description
Das Unternehmen ist ein globaler Marktführer, der Industrien dabei unterstützt, effizienter und umweltfreundlicher zu arbeiten.
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