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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 scholarship in computational kinetic modelling of human glycolysis - DTU Biosustain

Kgs. Lyngby

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.

DTU, Danmarks Tekniske Universitet

Project Coordinator for the Skylab Startup team - DTU Skylab

Kgs. Lyngby

Do you thrive in creating processes and carrying them out in real life? Do you enjoy maintaining an active dialogue with partners, peers, and colleagues? Are you excited about the prospect of working with students, researchers, and staff to nurture the creation of innovative projects for a better future? Then we have just the position for you!

As our project coordinator, you will among other things:

  • Coordinate student startup recruitment efforts at DTU programmes and departments.
  • Communicate with program participants and stakeholders.
  • Design and coordinate processes relating to our 2 annual program application rounds.
DTU, Danmarks Tekniske Universitet

PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute

Kgs. Lyngby

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.
DTU, Danmarks Tekniske Universitet

PhD scholarship in Behavioural Experiments with Tradable Credits for Mobility – The Green Token Project – DTU Management

Kgs. Lyngby

DTU Management’s Transport Division and the Joint Research Centre (JRC of the EU Commission would like to invite applications for a 3-year PhD position starting no later than August 1st, 2024.

The successful applicant will work on research focused on the understanding of detailed individual behaviour under Tradable Credit Schemes (TCS) and the design of such systems for equitable emission management in multi-modal travel settings.

Danmarks Tekniske Universitet

PhD Scholarships (2) in Cyber-Security and Cyber-Deception – DTU Compute

Kgs. Lyngby

The two positions are part of the project Loki: Situational aware collaborative bio-inspired cyber-deception.

This project, inspired by Norse mythology, with Loki being a shape-shifter god and a master of trickery, aims at redefining and evolving the emerging field of cyber-deception. Here, we attempt to deceive attackers by creating fake vulnerable systems that are aware of their surroundings and are constantly shifting.

The project takes inspiration from nature (e.g., from the mimicry phenomenon) to synthesize sophisticated deception.

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