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Danmarks Tekniske Universitet

PhD scholarships on “Live” Visualizations of Single Nanoparticle Catalysts at the Atomic-Scale - DTU Physics

Kgs. Lyngby

Could you envision “seeing” chemical reactions being catalyzed at the atomic-scale? Two or more scholarships are now open for experimental research in nanoparticle catalysis using advanced operando electron microscopy at the Center for Visualizing Catalytic Processes (VISION).

VISION is developing and applying a new unique platform for visualizing catalytic nanoparticles and reactions at the atomic-level by integrating cutting-edge electron microscopy, microfabricated nanoreactors, nanoparticle synthesis and computational modelling. This approach enables new, direct operando observations that are urgently needed to advance mechanistic insight into catalytic processes at the atomic-scale.

DTU, Danmarks Tekniske Universitet

PhD scholarship in Machine Learning Techniques for Spectral Shaping of Ultra-Broadband Optical Frequency Combs - DTU Electro

Kgs. Lyngby

We seek a motivated, curious, and outgoing PhD candidate with a solid background in optical communication, laser physics or nonlinear optics. Experience with machine learning, digital signal processing and experimental work is a plus.

The project goal is to explore various machine learning techniques to realize feedback control that can enable spectral shaping and quantum noise limited operation. The project will cover both numerical simulations, algorithm development as well as experimental implementations.

DTU, Danmarks Tekniske Universitet

PhD scholarship in Linearized floating wind farm modelling - DTU Wind

Kongens Lyngby

Do you want to be involved in the green energy transition? Do you wish to contribute to the development of advanced technologies for floating wind farms and are you looking for a career in R&D or academia? Then we have a great opportunity!

The overall research goal is to develop a fast linear numerical model facilitating simplified, yet sufficiently accurate, description of a floating wind farm for design of optimal control and optimal layout of such. The model will make out a linearized counterpart to the time domain Dynamiks.HAWC2Farm model.

DTU, Danmarks Tekniske Universitet

PhD scholarship in Measurement Methods, Reliability, and Uncertainty in Acoustic-Mechanical Microsystems – DTU Electro

Kgs. Lyngby

Are you interested in developing and advancing state-of-the-art measurement methods for sound and vibration in miniature audio systems?

The small scale of smart hearables such as ear pods, headsets, and hearing aids present unique challenges to accurately and reliably measure the acoustic and vibroacoustic behaviour of their components. But modelling, simulation, and optimization of such devices relies on accurate measurement data.

As a PhD candidate with us you will investigate and develop measurement methods suitable for small parts and evaluate reliability and uncertainty of these methods.

DTU, Danmarks Tekniske Universitet

PhD scholarships (2) on Theory, Fabrication, and Optical Characterization of Subdiffraction Photonic Cavities – DTU Electro

Kgs. Lyngby

DTU Electro are looking for two bright and motivated PhD students within subdiffraction cavities based on silicon bowties with the overarching goal of exploring new regimes of light-matter interaction.

The first position includes a strong element of nanofabrication but numerical design, theory, and optical measurements are important as well. The second position will be focused mainly on design, theory, and optical measurements.

Danmarks Tekniske Universitet

PhD scholarship in Efficient Numerical Modelling of Smart Hearables while Fitted to Users – DTU Electro

Kgs. Lyngby

Are you interested in learning and extending on state-of-the-art numerical modelling techniques and, at the same time, contribute to improving the listening experience of smart hearable users and hearing impaired?

As a PhD candidate with us you will create models of audio devices that are worn in or over the ear and including the wearer’s acoustical and mechanical influence. You will deal with a large modelling task with uncertain input data, and to do this you will acquire knowledge on fields like advanced numerical modelling techniques, improvement of model efficiency and numerical optimization, among others.

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