PhD scholarship in Causal-informed Machine Learning Methods for Climate Modelling - DTU Compute
Tasks
- Analyze complex climate datasets
- Build causal informed AI machine learning models
- Develop causal informed machine learning methods
- Generate probabilistic predictions for Arctic sea ice conditions
- Quantify causal links between climate drivers and sea ice
- Train large scale predictive models on HPC systems
Perks/Benefits
Skills/Tech-stack
Causal Inference | Diffusion Models | Flax | Graph Modeling | HPC | Machine Learning | Neural Networks | PyTorch | Python
Education
Related jobs
-
CFD | Computational modeling | Machine Learning | Mathematical Modeling | Neural NetworksEntry-level Full TimeBallerup, Denmark4d ago
-
Postdocs in Computer Vision and Embodied AI for Autonomous Agricultural Robotics - DTU Electro DKK 428K-428K3D Point Cloud Processing | 3D Scene | 3D Scene Understanding | 3D point cloud | C++Academic freedom | Collegial respect | Field research opportunities | International work environment | Mentoring experienceEntry-level Full TimeKgs. Lyngby, Denmark8d ago
-
Academic publishing | Approximate Bayesian Inference | Bayesian Inference | Bayesian deep learning | Deep learningAcademic freedom | Collegial respect | Flexible work-life balance | International research environment | Monthly seminarsEntry-level Full TimeKgs. Lyngby, Denmark11d ago
-
DTU Tenure Track Researcher in Neutron Spectroscopy – Uniaxial Pressure Studies of Quantum Materials - DTU Physics DKK 433K-433KInelastic Neutron Scattering | MATLAB | Neutron Spectroscopy | Neutron scattering | PythonNone Full TimeKgs. Lyngby, Denmark12d ago
-
DIAS Fellow in Engineering within Robotics DKK 433K-433KArtificial Intelligence | Computer Vision | Human robot | Human-Robot Interaction | Image ProcessingReduced teaching load | Research funding supportEntry-level Full TimeOdense M, Denmark28d ago