Machine Learning Engineer for Autonomous Aerial Inspection Platforms

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, 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...

We are seeking a highly skilled and motivated deep learning scientist to contribute to our AUTOASSESS project. As a member of our team, you will design and develop advanced computer vision techniques for aerial robotics applications.Job DescriptionThe successful candidate will be responsible for conducting research and developing novel deep learning...

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...

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...

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...

About the PositionThe Danish Technical University (DTU) is seeking a highly skilled PhD researcher to join its team of experts in autonomous maritime surveillance. This exciting opportunity will enable you to contribute to groundbreaking research that merges robotics, artificial intelligence, and maritime security.As part of this project, you will focus on...

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 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...

**Job Description**We are seeking a talented researcher to join our team at DTU Management. As a PhD student, you will work on clustering cities based on mobility-related open data, including demographic trends, transport infrastructure and performance, economic indicators, and land use across time.Your primary tasks will be to:Explore, develop, and evaluate...

About Our LabWe are a team of researchers dedicated to advancing perception for robot learning. Our goal is to create systems that can understand their surroundings and perform a broad range of tasks. We believe that collaboration and innovation are key to achieving this goal, and we are seeking a talented PhD researcher to join our team.The RoleYou will...

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...

Danmarks Tekniske Universitet (DTU) invites applications for a PhD position in maritime navigation using artificial intelligence. As a PhD researcher, you will contribute to the development and implementation of a foundation model tailored for maritime navigation.The research project aims to improve the safety of navigation across the seven seas by...

Are you ready to revolutionize maritime security with cutting-edge autonomous technology? Then join our team to shape the future of autonomous systems, enhancing the resilience of our maritime critical infrastructure. Dive into an exciting PhD opportunity where you will push the boundaries of innovation, designing next-gen surveillance systems that...

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...

This PhD project will explore advanced data-driven methods to accelerate the green transition by providing fast and accurate modeling of wind farm wake aerodynamics, which occurs as large wind turbines interact with the complex atmosphere. Are you eager to explore advanced machine-learning techniques and enthusiastic about accelerating the green energy...