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Senior Data Manager

The Senior Clinical Data Manager is responsible for leading and overseeing data management activities associated with clinical trials, ensuring data accuracy and consistency, and managing data cleaning and quality control processes.

We strongly endorse a flexible working environment around its core working hours of 09:00-15:00 and endorses fair and equal pay practices.

Senior Data Engineer

You will be involved in developing and maintaining our data infrastructure, focusing on data collection, data storage, management, processing, and data presentation from our test equipment in the Grundfos Laboratories.

Our research and development is essential for staying ahead with our products and this role contributes to ensuring that our data systems are efficient, reliable, and tailored to the unique needs of mechanical and electrical engineering.

Industrial PhD and Postdoc Positions in Machine Learning for Hearing Aid Systems

The projects will explore and design machine learning algorithms for processing potentially noisy sound signals in a hearing aid context, to increase speech intelligibility and sound quality, and to reduce listening effort.

The algorithms to be explored rely on hearing aid microphone signals, as well as additional multi-modal inputs, e.g., EEG/Ear-EEG, visual inputs, user body movements, and eye-tracking. We aim to develop algorithms which align with the user’s intent by continuously providing the sound signal of interest to the user.

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.

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

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.