Your Twin learns with you

30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Publisher
source

IMT Atlantique

Just Landed

Post-doctorat en conception d'accélérateurs de calcul pour IA embarquée sur FPGA IMT Atlantique in France

Degree Level

Postdoc

Field of study

Signal Processing

Funding

Indicative contract remuneration of 35,800 EUR gross per year.

Deadline

Dec 4, 2026

Country flag

Country

France

University

IMT Atlantique

Apply for this position

Keywords

Signal Processing
Electrical Engineering
Real-time Systems
Gnss
Embedded System

Suggested positions

Publisher
source

IMT Atlantique

Country flag

France

IMT Atlantique is recruiting a postdoctoral researcher for the STRIKEER project, a collaborative effort aimed at improving the robustness of GNSS receivers against jamming and spoofing attacks. The project sits within the school’s MEE (Mathematical and Electrical Engineering) department, in a research environment focused on AI, signal processing, and hardware design. The position is centered on turning hybrid AI/DSP processing algorithms into FPGA-ready implementations. The successful researcher...

Computer Science
Signal Processing
Electrical Engineering
+3 more

5 days ago

Publisher
source

Giuseppe Lipari

Université de Lille

Country flag

France

PhD opening at the University of Lille with Giuseppe Lipari for a project on real-time systems , computer architectures , and predictable cache memories for real-time embedded multicore systems . This opportunity is aimed at candidates interested in the intersection of embedded systems , architecture , and real-time computing . The post highlights a research topic focused on making cache memories predictable for multicore real-time platforms, which is relevant for dependable and timing-sensitive...

Computer Science
Electrical Engineering
Information Technology
+3 more

1 month ago

Publisher
source

Inria

Country flag

France

PhD opportunity at Inria, France in Computer Science for research on predictable cache memories for real-time embedded multicore systems . The project is part of the ANR PRCI CoDaLi collaboration with Inria Rennes and RPTU , focusing on offline and runtime techniques to precisely control cache contents in multicore architectures for embedded real-time systems. The research aims to improve memory placement and cache behavior by leveraging cache-block lifespan to reduce replacement of useful block...

Computer Science
Electrical Engineering
Real-time Systems
+1 more

1 month ago

Publisher
source

MINES Paris - PSL

Country flag

France

Postdoctoral Researcher – Resilient Navigation and Embedded AI (M/F) This is a postdoctoral opening at MINES Paris – PSL in France , within an interdisciplinary environment focused on autonomous platforms, drones/UAVs, embedded systems, and control. The project sits at the intersection of embedded AI , robotics , navigation , and real-time control , with a strong emphasis on maintaining functional integrity in disturbed electromagnetic environments (leurrage, brouillage, GNSS-denied). The resear...

Computer Science
Electrical Engineering
Aerospace Engineering
+9 more

2 weeks ago

Publisher
source

École nationale des ponts et chaussées, Institut Polytechnique de Paris

Country flag

France

Fully funded PhD opportunity in Graph Signal Processing and Graph Machine Learning at Télécom Paris, Institut Polytechnique de Paris . This opening is aimed at candidates interested in research at the intersection of computer science , machine learning , mathematics , and signal processing . The post highlights a fully funded PhD in Palaiseau, France , with an application deadline of 31 December 2026 . Relevant research themes include graph-based learning, signal processing on graphs, AI methods...

Computer Science
Signal Processing
Electrical Engineering
+4 more

3 weeks ago

About this position

Cette offre porte sur un projet de recherche appliquée au sein d’IMT Atlantique, dans le département MEE (Mathematical and Electrical Engineering). Le ou la post-doctorant·e rejoindra une équipe travaillant sur le projet STRIKEER, consacré à l’amélioration de la robustesse des systèmes de réception GNSS face au brouillage et au leurrage.

Le cœur du poste consiste à transformer des traitements hybrides IA/DSP déjà développés dans le projet en versions directement embarquables sur FPGA. Le travail porte sur l’intégration et l’optimisation d’une architecture temps réel hybride IA/détection/traitement du signal sur Zynq UltraScale+, avec des contraintes fortes de compacité et d’efficacité énergétique pour des systèmes embarqués sur drones et lanceurs.

Le projet inclut aussi la validation sur cible des traitements embarqués, via des approches de type FPGA-In-the-Loop, ainsi que la mise en place d’une première chaîne CRPA hybride complète. Le ou la titulaire contribuera également à la documentation, à la traçabilité et à la valorisation scientifique des résultats.

L’environnement de travail est collaboratif et interdisciplinaire, en lien avec des partenaires industriels du projet, notamment ARKANE et ArianeGroup. L’offre met en avant un contexte de recherche de pointe à l’interface entre IA embarquée, circuits numériques, traitement du signal et applications spatiales et aéronautiques.

Funding details

Indicative contract remuneration of 35,800 EUR gross per year.

What's required

Applicants must hold a PhD obtained less than 3 years ago in digital electronics, embedded systems, or algorithm-architecture co-design. Required or strongly preferred skills include FPGA digital design (VHDL/Verilog and/or HLS), AMD/Xilinx tools (Vivado, Vitis), fixed-point arithmetic, implementation of quantized neural networks on FPGA (e.g. Brevitas, FINN, hls4ml), digital signal processing, GNSS/CRPA systems, and Zynq UltraScale+ SoC platforms with FPGA-In-the-Loop validation. The post also requires scientific rigor, organisation, strong autonomy, initiative, teamwork in a multidisciplinary setting, and excellent written and oral communication in French and English.

How to apply

Apply on the employer's recruitment page. Submit a CV and a cover letter. Use the employer link provided in the advert.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.