Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
The Department of Ecoscience, Aarhus University, invites applications for a full-time researcher position (tenure track), focusing on marine ecosystem modelling. Expected start date and duration of
-
Professor Aldo Faisal from Imperial College London involved as international project partner. Research objectives and tasks You will contribute to the development and empirical validation of models
-
degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
-
on developing and studying privacy-preserving methods, such as differential privacy, Bayesian privacy, federated learning and synthetic data. The aim is to enable meaningful analyses, such as identifying disease
-
and objectives Vision-language-action models (VLAs) Investigate VLA models and multimodal representations that connect visual observations and language instructions to robot behaviour, including
-
-system performance and onboard sensing. A propulsion system optimized only for thrust or maximum speed may not provide the best platform for robust guidance, trajectory tracking, obstacle avoidance
-
largely undeveloped. Addressing this challenge will be the central objective of your PhD research. Responsibilities and qualifications You will develop a physics-based modelling framework for bearingless
-
reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop
-
of electrolyzer technologies, digital twins, model order reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration
-
’ Cognitive Autonomy in Human-AI Interaction’). Research objectives This project develops methods to detect changes in users' cognitive load and designs digital interventions that support cognitive autonomy in