Deep Learning Scientist for Probabilistic Inspection Systems

We are seeking a highly skilled probabilistic deep learning engineer to join our team working on robust inspection systems. In this role, you will design and develop novel deep learning techniques for semantic segmentation and probabilistic defect detection onboard aerial drones operating in confined environments.Your responsibilities include designing and...

At DTU, we are seeking a highly skilled PhD researcher to join our team working on autonomous aerial inspection. In this role, you will design and develop novel deep learning techniques for semantic segmentation and probabilistic defect detection onboard aerial drones operating in confined environments.Your responsibilities include conducting...

Are you experienced in deep learning, computer vision, and probabilistic modeling? Join our high-profile EU consortium for the AUTOASSESS project at DTU Electro, where we have already set new standards for aerial robotic inspection in confined, visually degraded, and GNSS-denied environments. The AUTOASSESS project develops fully autonomous solutions for...

Are you experienced in deep learning, computer vision, and probabilistic modeling? Join our high-profile EU consortium for the AUTOASSESS project at DTU Electro, where we have already set new standards for aerial robotic inspection in confined, visually degraded, and GNSS-denied environments. The AUTOASSESS project develops fully autonomous solutions for...

Are you an expert in deep learning and computer vision? DTU Electro invites applications for a PhD position focused on developing uncertainty-aware semantic segmentation models for aerial robotic inspection. You will design cutting-edge deep learning techniques to enhance inspection reliability and robustness in visually degraded scenarios.The AUTOASSESS...

At DTU - Technical University of Denmark, we are seeking a highly skilled and motivated PhD researcher to contribute to our AUTOASSESS project. As a member of our team, you will design and develop novel deep learning techniques for semantic segmentation and probabilistic defect detection onboard aerial drones operating in confined environments.Key...

The AUTOASSESS project at DTU Electro is developing fully autonomous solutions for challenging tasks such as inspecting dark water ballast tanks on large vessels. As a PhD scholar, you will design uncertainty-aware semantic segmentation models and create curated, probabilistic annotated datasets that capture the inherent ambiguity in defect labeling.Your key...

As a PhD candidate at DTU Electro, you will be part of a dynamic research environment focused on developing cutting-edge technology for people. The AUTOASSESS project is a flagship initiative that aims to push the boundaries of aerial robotic inspection. We are seeking an exceptional researcher who can contribute to this effort by developing novel deep...

We are seeking a highly skilled and motivated machine learning engineer to contribute to our AUTOASSESS project. As a member of our team, you will design and develop advanced machine learning techniques for autonomous aerial inspection platforms.ResponsibilitiesDesign and develop uncertainty-aware models that enhance inspection reliability and robustness in...

**Job Description:** As part of the Deep Immune Receptor Modeling (DIRM) grant from the NNF Data Science Collaborative Research Programme, this PhD position will develop refined Deep Learning methods specifically tailored to immune-receptors and able to integrate prior sequence to function domain knowledge. You will apply iterative rounds of model refinement...

We are looking for a highly skilled and motivated PhD student to join our team working on advanced computer vision and machine learning techniques for aerial robotics applications. The successful candidate will design and develop novel deep learning techniques for semantic segmentation and probabilistic defect detection onboard aerial drones.Key...

In this role, you will work on developing uncertainty-aware semantic segmentation models and creating curated, probabilistic annotated datasets that capture the inherent ambiguity in defect labeling. You will also leverage your model outputs to derive reproducible qualitative and quantitative metrics of faults and defects.Your key qualifications include a...

DTU Health Tech is seeking a deep learning expert to join our team in the Section for Ultrasound and Biomechanics. As part of our cutting-edge research project, you will focus on developing innovative WSS estimation methods using advanced ultrasound imaging and machine learning techniques.This project aims to transform stroke prevention by integrating...

Sustainable Water Management for a Better FutureWe are seeking a highly motivated and skilled scientist to join our team in the area of water supply. As a DTU Water Systems Scientist, you will have the opportunity to conduct research and teach in a dynamic and collaborative environment.About the Department

Opportunity to Boost Your CareerWe are seeking a highly skilled researcher and educator to join our team at DTU Sustain. As a Data Scientist in Water Systems, you will have the opportunity to boost your career as a researcher and educator in the area of data acquisition in water systems.The successful candidate will work at the forefront of science,...

If you are in your early career as a Bioinformatics researcher and you are seeking the best possible foundation to establish your own group in the academic world, the opportunity is right here in front of you. At the Bioinformatics Section at the Department of Health Technology (DTU Health Tech) you will be at the cutting edge, exploring new frontiers in the...

We are seeking a highly skilled machine learning expert to join our team and contribute to the development of new methods for defining urban mobility culture typologies.The ideal candidate will have a strong foundation in statistical analysis and working with machine-learning methods such as GNN, deep-learning, transformers, etc.The PhD student will work on...

DTU Electro is a world-renowned research institution that focuses on developing cutting-edge technology for people. Our researchers are passionate about tackling global challenges and pushing the boundaries of what is possible. As a PhD candidate at DTU Electro, you will have the opportunity to contribute to this effort by developing novel deep learning...

Job DescriptionResponsibilities:Develop efficient dimension reduction methods to approximate wind farm flows across various operational and atmospheric conditions.Generate synthetic turbulence based on stochastic model or deep-learning techniques.Construct regression models capturing changes in turbulent structures for the various conditions.Compare...

We are seeking a talented researcher to join our team at DTU Energy as a postdoc in piezoelectric thin films for micro- and nano-electromechanical systems. This project aims to develop new electromechanically functional materials for MEMS and NEMS by fabricating nanometric materials, including nanostructured Nitrides and Oxides, 2D materials, and...