Pica Code IR-2026-103 Advanced Methodologies for Dynamic GPU Resource Management in Embedded Systems

Italian Ministry of Education, University and Research; Italia; In loco; EUR 36.000 - 55.000; Tempo pieno

Descrizione del lavoro

UNIMORE Research is seeking a researcher to explore spatial partitioning and dynamic GPU scheduling in real-time and embedded applications. The role emphasizes workload characterization, interference management, and execution predictability. The appointment aligns with academic and research objectives in Italy.

The position involves selective public procedures based on qualifications and interview, with a focus on advancing real-time embedded computing methodologies at UNIMORE.

Competenze

• Real-time systems concepts in embedded contexts.
• GPU scheduling and workload characterization.
• Spatial partitioning in real-time/embedded environments.

Mansioni

• Research and experimental evaluation of spatial partitioning and dynamic GPU scheduling methodologies.
• Focus on workload characterization, interference management, and execution predictability in real-time and embedded applications.

Descrizione del lavoro

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