Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
sustainable materials, (d) Artificial Intelligence (AI) models to predict and control the manufacturing process and (e) a Digital Twin (DT) incl. Building Information Modeling (BIM) information backbone
-
. The broader goal is to support assistive devices through real-time analysis of brain activity and physical interaction signals using energy-efficient hardware. As a PhD candidate, your primary focus will be
-
the assessment process. Incomplete applications and applications received after the deadline will neither be considered nor evaluated. This also applies to reference letters. Applications will be assessed by
-
-files must be unlocked and allow binding and may not be password protected. The application deadline is June 30, 2025, at 11.59 PM / 23.59 (CET/CEST) Assessment and selection process Applications will be
-
, at 11.59 PM / 23.59 (CET/CEST) Assessment and selection process Applications will be assessed by an assessment committee. Shortlisting may be applied, and only shortlisted candidates will receive a written
-
spanning a wide range of fields including applied cyber-physical systems, advanced mechanical systems, modelling and mechatronic prototyping. Your profile To complement our team, we are looking for one
-
, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials
-
characteristics, assessments committees’ configuration and process) and 2) the resulting outputs for applicants depending on grant decisions. The research will leverage artificial intelligence (AI) to optimize
-
contact information • Certified copy of diploma (Master’s degree in a relevant field) Shortlisting may be used in the assessment process. Further information about the PhD-study can be found at the homepage
-
, for static and dynamic measurements and reliability measurements). Key Responsibilities Research & Learning: Develop expertise in GaN device physics and wide-bandgap semiconductor technology. Simulation