PhD Position F/M Predictable cache memories for Real-Time Embedded Multicore Systems

Inria, the French national research institute for the digital sciences; France; Hybride; EUR 25 000 - 36 000; Plein temps

Avantages offerts par ce poste

Transport partial

7 weeks annual leave

Teleworking after 6 months

Equipment provided

Social events

Résumé du poste

Inria, l'institut national de recherche dédié aux sciences numériques, propose un doctorant à Rennes dans le cadre du projet CoCoDaLi. La mission vise à concevoir et implémenter des techniques hors ligne et en temps réel pour le placement mémoire dans des architectures multi‑cœurs pour systèmes temps réel embarqués.

Le candidat étudiera l'état de l'art et développera un nouvel algorithme. Des déplacements à Kaiserslautern et Rennes sont prévus; télétravail partiel après six mois et équipement

Qualifications

• Excellente maîtrise du langage C/C++, du compilateur et du linker.

Responsabilités

• Étudier l'état de l'art sur les algorithmes de placement mémoire.
• Analyser l'algorithmique d'analyse statique des binaires pour localiser mémoire et code.
• Développer un nouvel algorithme de placement mémoire.

Connaissances

C/C++

Real-Time scheduling

Multicore systems

Worst-case execution time analysis

Outils

Compiler/Linker

Description du poste

Inria, the French national research institute for the digital sciences

Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 30 Nov 2026 - 00:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Offer Starting Date 1 Apr 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2026-10542 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The PhD student will work in the context of the ANR PRCI CoDaLi project, with Inria Rennes and the RPTU ( https://rptu.de/ ).

The general objective of the CoCoDaLi project is to design and implement offline and runtime techniques that allow precise control cache contents in multi-core architectures for embedded real-time systems.

The main idea is to take advantage of the content lifespan of cache blocks, in order to:

• prevent the hardware replacement algorithm from removing useful cache blocks;
• reduce the number of cache errors by placing the application memory in the appropriate cache lines.

The PhD student will spend some time in Kaiserslautern and Rennes to collaborate with the project partners.

Missions:1) Study the state of the art in algorithms for memory placement in cache 2) study algorithms for the static analysis of program binary code, so to obtain the memory location of data an code 3) develop a novel algorithm for memory placement.

For a better knowledge of the proposed research subject :
Scientific references of the research team are available at the followings URLs :

Research and development of algorithms and code for optimizing the memory placement.

• We require a very good extertise in C/C++ language, compiler and linker
• Optional expertise:
  • Real-Time scheduling, and scheduling analysis
  • Multicore systems,
  • worst-case execution time analysis.

Languages FRENCH Level Basic

Languages ENGLISH Level Good

Additional Information

• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities