Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Energy Materials - DTU Energy
Tasks
- Advance autonomous synthesis and robotic materials testing
- Build foundation and surrogate models for materials discovery
- Design closed loop materials synthesis characterization and modelling workflows
- Develop AI enhanced multiscale materials modelling programs
- Integrate machine learning with atomistic and multiscale simulations
- Supervise students and conduct scientific research
- Teach courses in Danish and English
Perks/Benefits
- External Grants
- Interdisciplinary research environment
- International collaboration
- Research funding opportunities
- Student supervision
- Teaching opportunities
Skills/Tech-stack
Artificial Intelligence | Atomistic Simulation | Autonomous experimentation | Bayesian optimization | Data Analysis | Data-Driven Modeling | Data-driven | Electrochemistry | Generative AI | Graph-Based Models | Graph-based | Machine Learning | Materials Science | Materials characterization | Multiscale Modelling | Predictive control | Robotics | Self Driving | Self-driving labs | Spectral Data Analysis | Spectral data | Surrogate modeling
Education
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