Postdoctoral Researcher (2-year): The Technical University of Denmark (DTU) is seeking a highly skilled postdoctoral researcher specializing in generative modelling. The position focuses on developing and advancing methodological techniques, particularly diffusion and score-based models, and applying these techniques to physical systems. The successful candidate will possess a Ph.D. in machine learning, extensive experience with deep generative models, and strong programming skills.
Postdoctoral Researcher in Generative Modelling at DTU, Denmark (2-year)
Designation: Postdoctoral Researcher
Research Area: Generative Modelling, Machine Learning, Physics-aware Machine Learning
Location: Technical University of Denmark (DTU), Denmark
Eligibility/Qualification:
- Ph.D. in Machine Learning or a closely related field.
- Extensive experience in deep generative models.
- Proficiency in programming with Python, PyTorch, TensorFlow, or Jax.
- Strong command of the English language.
- International experience is an advantage.
Job Description: The 2-year postdoc position at DTU focuses on integrating physics-aware machine learning to enhance the computational efficiency of simulations critical for understanding natural phenomena and advancing technologies for environmental sustainability. The goal is to enable larger and more complex simulations of physical systems by solving the physics only at a few discrete points and using deep generative models to accurately fill in the remaining space. Initially, this approach will be applied to magnetic fields due to their significant role in sustainable applications and well-understood physical properties.
The role emphasizes methodological advancements in deep generative models, particularly diffusion and score-based models. The primary task is to develop generative models capable of interpolating and extrapolating in a physically correct manner, ensuring that the models adhere to Maxwell’s equations governing magnetic fields. This methodology will later be adapted to other physical systems by defining appropriate models for each. The postdoc will be supervised by Associate Professor Jes Frellsen at DTU Compute and co-supervised by Professor Rasmus Bjørk from DTU Energy.
How to Apply: Interested candidates should prepare the following documents for application:
- Detailed CV
- Cover letter explaining motivation and qualifications
- Copies of relevant academic degrees and transcripts
- List of publications
- Contact information for references
Contact Information: For further information or to express interest in this position, please contact Associate Professor Jes Frellsen at frellsen.org.
Last Date to Apply: Until position filled
This is an excellent opportunity for a motivated researcher to contribute to cutting-edge advancements in generative modelling and its application to physical systems. If you meet the qualifications and are excited about this research area, we encourage you to apply.
