Sort by
Refine Your Search
-
% of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique
-
of these materials. Implementation of artificial intelligence (AI) and machine learning (ML) to establish the connection between the existing models and material data (both literature and the baseline established in
-
, learning, and shared understanding in blue-collar workplaces. The project combines fieldwork in real-world settings with the design and evaluation of AI-driven tools. You will join an active, collaborative
-
. Mathematical skills: Competence in mathematical modeling of dynamic systems and probabilistic frameworks. Experience with machine learning or AI methods for localization or perception (e.g. learning-based SLAM
-
and workshop facilities, and a collaborative environment that supports innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your
-
languages such as MATLAB or Python is necessary as well as excellent communication skills in English. Candidates with sufficient proficiency in Danish to teach at the Bachelor programme are preferred
-
environments This PhD project investigates the use of digital technologies (environmental sensing, user feedback loops, computer vision, machine learning) and theories of human perception and behavioral nudging
-
This PhD explores light estimation and synthetic relighting of real scenes by combining generative deep learning with computer graphics. It aims to reduce issues such as hallucinations and temporal
-
, or LangGraph, will be considered a strong advantage. Proficiency in English is required, and knowledge of Danish will be an asset. To apply, please send the following documents (in English, pdf format
-
consist of a series of questions based on the application materials. Further information We recommend that you save a copy of the job posting, as it will be removed once the application deadline has passed