94 data-"https:"-"https:"-"https:"-"https:"-"Bath-Spa-University" positions at Aalborg University in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD in Learning Strategies for Data Driven Process Control is open for appointment from 1.02.2026
-
Postdoctoral Position in Probabilistic Machine Learning for Spatio-Temporal Data Modelling A postdoctoral position is available at the Department of Computer Science, Aalborg University Copenhagen
-
At the Technical Faculty of IT and Design, Department of Sustainability and Planning (PLAN), a Postdoc position in Satellite Data Processing and Machine/Deep Learning is open for appointment from
-
At the Technical Faculty of IT and Design, Department of Architecture, Design and Media Technology (Aalborg Campus) a 3-year, full-time position as Assistant Professor with a focus on Computer
-
Measurements and Data Processing as per December 15, 2025, or as soon as possible thereafter. The position is available for a period of 1 year, with the possibility of extension. In electronic engineering
-
to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research challenges defined by
-
. More information about DESS can be found at: https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems How to apply Your application must include the following: o Application, stating reasons
-
questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Links: [1] https://www.cs.aau.dk/research/Data-Engineering-Science-and
-
charging strategies for lithium-ion batteries. The goal is to integrate model-based (digital twin) and data-driven (AI) methods to design and experimentally validate optimized pulse charging protocols. A
-
background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected to demonstrate research leadership, with experience in national and