Pica Code-103 Advanced Methodologies for Dynamic GPU Resource Management in Embedded Systems
Organisation/Company UNIMORE Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 20 Nov 2026 - 13:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job 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 Research and experimental evaluation of spatial partitioning and dynamic GPU scheduling methodologies, with particular focus on workload characterization, interference management, and execution predictability in real-time and embedded applications.
Italy
Eligibility of fellows: country/ies of residence:
OTHER
Eligibility of fellows: nationality/ies:
OTHER
Selection process selective public procedure based on qualifications and interview
Offer Description Research and experimental evaluation of spatial partitioning and dynamic GPU scheduling methodologies, with particular focus on workload characterization, interference management, and execution predictability in real-time and embedded applications.
Italy
Eligibility of fellows: country/ies of residence:
OTHER
Eligibility of fellows: nationality/ies:
OTHER
Selection process selective public procedure based on qualifications and interview