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PhD scholarship in Broadband Vibroacoustic Shape Optimization using Model Order Reduction Methods – DTU Electro

This project aims at the application of MOR to the optimization of electroacoustic devices that involve the interaction of mechanical and acoustical domains, i.e. vibroacoustics. At DTU and KUL, you will have access to state-of-the-art knowledge on numerical methods, MOR and numerical optimization.

You will collaborate with the company PURIFI, a research-based producer of high-end loudspeaker units with wide practical experience on transducer non-linearities, measurement methods, and optimization techniques. You will be expected to extend and streamline models, opening up new possibilities for vibroacoustic design.

PhD scholarship in computational kinetic modelling of human glycolysis - DTU Biosustain

Thanks to recent advances in computational and analytical biology, it is now possible to reconcile mechanistic models of cell metabolism with information from quantitative multiomics experiments. In this study, we will explore human embryonic kidney (HEK) cells.

This PhD student will work closely with another student who will collect multiomics data from HEK cells specifically for kinetic modelling. The focus of the current project will be to fit a kinetic model with this data and address open scientific questions about glycolysis based on the results.

PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute

Do you want to do research on cutting edge machine learning methods?

If you are establishing a career as a researcher in machine learning, and you are motivated to work with the latest methods for quantifying uncertainty in neural networks, we can offer you the best possible foundation.

During the PhD program, you are expected to:

• Develop novel methods for uncertainty quantification in deep learning.
• Work with state-of-the-art nerual network architectures applied to molecular data.
• Publish scientific papers and present research results in top machine learning conferences such as NeurIPS, ICML, UAI, and AISTATS.