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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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