Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Aarhus University
- Aalborg University
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- Aarhus University (AU)
- University of Southern Denmark (SDU)
- Technical University Of Denmark
- Technical University of Denmark (DTU)
- Aarhus University;
- Technical University of Denmark;
- Geological Survey of Denmark and Greenland (GEUS)
- Technical University of Denmark
- Roskilde University
- ;
- Faculty of Medicine, Aalborg University
- RegionH
- TEGNOLOGY APS
- University of Copenhagen;
- University of Southern Denmark
- 10 more »
- « less
-
Field
-
intelligent control and aerial robotics for navigation in uncertain environment. You will be mainly responsible: for implementation of machine-learning algorithms for unmanned aerial vehicles; validation
-
vehicles for offshore inspection, surveillance and exploration. The project focuses on the development of high-speed USV technologies that can operate reliably in challenging marine environments and support
-
of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With this position, we seek to strengthen
-
sensing technologies (camera, Electromagnetic tracking system, FBG sensing) with continuum robotic systems and development of associated sensing and estimation algorithms 3D environment reconstruction based
-
contribute to aligning the course portfolio with current developments in the field and in industry. A key part of your work will be supervision of student projects, where you guide students from idea
-
candidate has a research track record at a high international level (reflecting the academic age of the applicant) and experience in theory, development, or usage of formal methods. Fluency in English is
-
experimental validation of control strategies for the developed systems. This includes the development of advanced control algorithms capable of handling varying operating conditions, ensuring system stability
-
and experiments with modelling of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With
-
, sustainability assessments, etc. Research areas include: Advance data science, predictive modelling, and intelligent systems for the Agro-Food domain. Adopt theoretical research results (algorithmic developments
-
research results (algorithmic developments, data mining techniques, etc.) to feasible deployment • Integrate the developed techniques with modern ICT/IoT and other digitalization systems • Cooperation