Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
19 Sep 2026 Job Information Organisation/Company University College Dublin Research Field Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher
-
to the project): PhD in Computer Science, Distributed Software Architectures, Artificial Intelligence, or a related discipline. Strong research background in data management, including policy governance or data
-
5 Sep 2026 Job Information Organisation/Company University College Dublin Research Field Computer science » Other Computer science » Other Researcher Profile Recognised Researcher (R2) Application
-
://www.universityofgalway.ie/curam/ . The Neuromuscular Systems and Neural Engineering Lab (https://www.ucd.ie/neuro/ ) is a multidisciplinary research group based in the School of Electrical and Electronic Engineering at
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD research project
-
CRT – http://www.advance-crt.ie – is coordinated by the School of Computer Science and Information Technology and a partnership between University College Cork, Munster Technological University, TU
-
network architecture design and optimisation. It is envisaged that the candidates will be located at University College Cork’s campus. A successful candidate will hold a PhD degree in Computer
-
25 Jul 2026 Job Information Organisation/Company University College Dublin Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Application Deadline 14
-
successful candidate will hold a PhD degree in Computer Science / Engineering, Electronic Engineering or a closely related discipline, with a good track record of original research publications. The successful
-
is seeking a PhD student to join an ongoing Royal Society–Research Ireland University Research Fellowship project focused on Machine Learning for the Design of Additively Manufactured Two-Phase Heat