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PhD Position in Graph Machine Learning(m/w/x)
Developing graph generation models for botanical trees and brain neurons with 3D information at national AI competence center. Master's degree in computer science and excellent mathematical/programming skills required. Flexible working hours, fully-equipped on-site workspace.
Requirements
- Master's degree in computer science or related discipline
- Strong interest in graphs and machine learning
- Excellent mathematical and programming skills
- Teamwork skills
- Knowledge of German as a plus
- Strong written and spoken English skills
Tasks
- Conduct research on graph machine learning
- Develop graph generation models with 3D information
- Generate shapes for botanical trees and brain neurons
- Integrate discrete structural decisions with continuous 3D positions
- Create metrics for complex graph data structures
- Apply learned heuristics to solve combinatorial problems
- Design experiments and benchmarks to measure progress
- Teach for two hours per week during semesters
Education
- Master's degree
Languages
- German – Basic
- English – Business Fluent
Tools & Technologies
- Graphs
- Machine learning
Benefits
Flexible Working
- Flexible working hours
Other Benefits
- Self-directed work
Diverse Work
- Diverse and challenging research
- Interdisciplinary team
Modern Office
- Fully-equipped on-site workspace
Startup Environment
- Integration into ScaDS.AI community
Modern Equipment
- Access to computing infrastructure
Team Events
- Access to related events
Learning & Development
- Training and courses
- Home
- Jobs in Germany
- PhD Position in Graph Machine LearningPhD Position in Graph Machine Learning at Data Science Ce...
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- Home
- Jobs in Germany
- PhD Position in Graph Machine LearningPhD Position in Graph Machine Learning at Data Science Ce...
PhD Position in Graph Machine Learning(m/w/x)
Developing graph generation models for botanical trees and brain neurons with 3D information at national AI competence center. Master's degree in computer science and excellent mathematical/programming skills required. Flexible working hours, fully-equipped on-site workspace.
Requirements
- Master's degree in computer science or related discipline
- Strong interest in graphs and machine learning
- Excellent mathematical and programming skills
- Teamwork skills
- Knowledge of German as a plus
- Strong written and spoken English skills
Tasks
- Conduct research on graph machine learning
- Develop graph generation models with 3D information
- Generate shapes for botanical trees and brain neurons
- Integrate discrete structural decisions with continuous 3D positions
- Create metrics for complex graph data structures
- Apply learned heuristics to solve combinatorial problems
- Design experiments and benchmarks to measure progress
- Teach for two hours per week during semesters
Education
- Master's degree
Languages
- German – Basic
- English – Business Fluent
Tools & Technologies
- Graphs
- Machine learning
Benefits
Flexible Working
- Flexible working hours
Other Benefits
- Self-directed work
Diverse Work
- Diverse and challenging research
- Interdisciplinary team
Modern Office
- Fully-equipped on-site workspace
Startup Environment
- Integration into ScaDS.AI community
Modern Equipment
- Access to computing infrastructure
Team Events
- Access to related events
Learning & Development
- Training and courses
About the Company
Data Science Center (DSC) - ScaDS.AI
Industry
Science
Description
ScaDS.AI is a national AI Competence Center focused on data science and artificial intelligence, developing service-oriented solutions and cooperating with science and industry.
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