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PhD scholarship in Data driven design optimization and control of wind power plants - DTU Wind

We seek an enthusiastic and engaged PhD willing to be part of a world-leading research environment and contribute to developing the next generation of data driven methods for optimization and control of large wind power plants.

You will get the opportunity to participate and influence the development of comprehensive design optimization and data driven control for wind power plants in collaboration with the top universities wind energy research in Europe and beyond.

Data Analyst - DTU Aqua

Applications are invited for a position as Data Analyst at DTU Aqua’s Section for Monitoring and Data.

DTU Aqua provides scientific advice to both Danish and international authorities on sustainable utilisation of living aquatic resources and the impact of human activities on the aquatic environment.

The main tasks will involve helping our dynamic Data team in practical data handling, analysis, and support of scientific work with a major focus on data quality assurance, artificial intelligence, and image recognition.

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.