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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.

Product Owner SaaS (f/m/d)

At Brüel & Kjær Vibro, we pride ourselves on protecting and monitoring the world's most important machines.

Your mission:

• Own and shape our predictive maintenance platform in collaboration with our teams.
• Enable the teams to deliver delighting customer value and keep them aligned.
• Create transparency about the roadmap and promote it internally.
• Fully understand the product vision and the value proposition.
• Translate the product vision into actionable deliverables and in clearly prioritized backlogs.
• Prioritize technical debt items in backlogs to ensure healthy balance between new development and maintenance activities.

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.

Senior Data Scientist (f/m/d)

As a Senior Data Scientist at B&K Vibro you will be responsible for the data processing and state-of-the-art model development of our centralized cloud-based solution for predictive maintenance of industrial assets (BKV Beyond Platform).

Your mission:

• Develop and implement sophisticated machine learning/deep learning models for condition monitoring, predictive maintenance, and anomaly detection in industrial machinery and systems.
• Extend and maintain the value of B&K Vibro’s predictive maintenance cloud-based system (BKV Beyond platform).
• Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to ensure the successful deployment and scaling of data science solutions.