Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
process. Incomplete applications and applications received after the deadline will neither be considered nor evaluated. Shortlisting may be used. Shortlisted applicants will be assessed by an assessment
-
candidate will contribute to the SECUREAM research project, focusing on enhancing cyber resilience solutions for digital Additive Manufacturing (AM) processes and workflows in close collaboration with leading
-
weighted highly. Those appointed are expected to show commitment and visibility and to contribute to the department’s positive work environment and the continuous operation of the department. The applicants
-
received after the deadline will not be considered. Assessment Shortlisting may be used as part of the assessment process. Read about shortlisting at SDU. Assessment of applications will be done under
-
image files. All pdf-files must be unlocked and allow binding and may not be password protected. The assessment process Applications will be assessed by an assessment committee and the applicant will
-
uploaded as ‘Resume’. All other documents should be uploaded as ‘Miscellaneous documents’. Application deadline: November 15, 2025, at 11.59 PM/23.59 (CET/CEST) Assessment and selection process Assessment
-
: 1) Drones for Infrastructure Inspections and Interactions 2) Real-time processing, and 3) optimized power electronics. The section currently has 15 academics, including professors, PhD students, and
-
publications Reference letters/references may also be included A statement of other qualifications relevant to the position. Shortlisting may be used in the assessment process. Please note that only shortlisted
-
working environment. Alternatively, you can also provide contact details such as e-mail or phone number. Shortlisting may be used in the assessment process. Incomplete applications and applications received
-
Robotics Control systems Programming skills (Python, C++) and ML libraries (PyTorch, Tensorflow) Preferably, the candidates have experience with: Computer vision Experimental design and data analysis