Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
ability to connect theory with experimental data, are strong assets. Your workplace As a PhD student at the Division of Vehicular Systems, you will become part of an international research environment with
-
environment and clear, transparent communication. We place great emphasis on a quality-conscious approach to work, and strong analytical language skills, meaning that you should be able to process text, theory
-
, internationally oriented research environment with a strong balance between theory and real-world applications. The division conducts high-quality research, doctoral education, and undergraduate teaching in key and
-
theory, and learning theory to design efficient and robust decentralized AI systems. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a
-
vision), and the division of statistics and machine learning at the department of computer and information science (focusing on the theory behind machine learning). The employment When taking up the post
-
diagnostics and prognostics, and modelling and control of vehicle functions. Through a close integration of theory and practical applications - often in collaboration with industrial partners - the division
-
vibrant, internationally oriented research environment with a strong balance between theory and real-world applications. The division conducts high-quality research, doctoral education, and undergraduate
-
, data science, or a related field. We also think you have a strong mathematical background and knowledge of optimization, particularly in areas such as complexity theory, high-order methods, acceleration
-
, numerical analysis, approximation theory, or equivalent subjects. Alternatively, you have gained essentially corresponding knowledge in another way. Candidates should have experience in the following
-
engineering (focusing on deep learning for computer vision), and the division of statistics and machine learning at the department of computer and information science (focusing on the theory behind machine