Available to hire
I’m Nathan Chanez, a PhD candidate and R&D engineer in Artificial Intelligence at STMicroelectronics and Université Grenoble-Alpes. I design and optimize deep learning architectures (PyTorch) and scale training on HPC clusters, exploring Graph Neural Networks and surrogate models. I also implement robust validation pipelines and model performance monitoring, contribute to internal patent filings, and mentor interns and new hires while promoting Python development best practices.
I’m passionate about turning research into deployable AI solutions, collaborating across teams, and sharing knowledge through scientific communication at AEET2025 and ICPECA2026. In my free time, I enjoy refining my Python tooling, exploring new ML methods, and helping others grow.
Experience Level
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
French
Fluent
English
Advanced
Japanese
Intermediate
Work Experience
PhD Candidate & R&D Engineer in Artificial Intelligence at STMicroelectronics / Université Grenoble Alpes (CIFRE Thesis)
March 1, 2023 - November 22, 2025Development & Scaling (HPC): Design and optimization of Deep Learning architectures (PyTorch). Scaling training processes on computing clusters (job management via LSF, multi-GPU parallelization). Algorithm development. Graph Neural Networks, Surrogate models. Methodology & Analysis: Implementation of robust validation pipelines and model performance monitoring (experiment tracking, metric analysis, benchmarking). Innovation & Valorization: Internal patent filings, Scientific communication (presentations at AEET2025 and ICPECA2026 conferences). Leadership & Knowledge Transfer: Technical mentoring of interns and new hires. Promoting Python development best practices within the team.
Deep Learning Engineer (Internship + Fixed-Term Contract) at STMicroelectronics (Crolles)
March 31, 2023 - March 31, 2023Upskilling & PhD Preparation: Acquisition of expertise in Deep Learning and structuring of the work environment. Immersion Internship - Partnership Platform ENSMM/SEDIS: Python image processing, OpenCV, Predictive maintenance.
Intern at Immersion Internship - Partnership Platform ENSMM/SEDIS
July 1, 2021 - July 1, 2021Python image processing, OpenCV, Predictive maintenance.
Academic Tutor at Besançon (25)
January 1, 2022 - January 1, 2022Tutoring up to 8 students per week (Middle school to BTS level) in scientific and literary subjects.
Army Reservist at French Army
January 1, 2020 - January 1, 2020Army-specific missions and training. Stress resistance, decision-making efficiency, team management.
Deep Learning Engineer (Internship + Fixed-Term Contract) at STMicroelectronics (Crolles)
March 1, 2023 - March 1, 2023Upskilling in Deep Learning and structuring of the work environment for research deployment. Developed hands-on DL solutions and contributed to project-oriented tasks during the internship and fixed-term period.
Immersion Internship - Partnership Platform at ENSMM/SEDIS
July 1, 2021 - July 1, 2021Python image processing, OpenCV, Predictive maintenance.
PhD Candidate & R&D Engineer in Artificial Intelligence at STMicroelectronics / Université Grenoble Alpes (CIFRE Thesis)
March 1, 2023 - November 23, 2025Development and scaling of Deep Learning architectures (PyTorch) and HPC-based training on computing clusters (LSF, multi-GPU). Algorithm development including Graph Neural Networks and surrogate models. Implement robust validation pipelines and model performance monitoring. Involved in internal patent filings and scientific communication (AEET2025, ICPECA2026). Mentoring interns and new hires; promoting Python development best practices within the team.
Immersion Internship at Partnership Platform ENSMM/SEDIS
July 1, 2021 - July 1, 2021Python image processing, OpenCV, Predictive maintenance.
Education
PhD in Artificial Intelligence at Grenoble / Crolles
March 1, 2023 - March 1, 2026Double Degree: Master in Microsystems, Embedded Instrumentation, and Robotics at Université de Franche-Comté
January 1, 2021 - January 1, 2022Engineering Degree (Microsystems & Embedded Instrumentation) at École Nationale Supérieure de Mécanique et des Microtechniques - Besançon
January 1, 2019 - January 1, 2022CPGE (Preparatory Classes for Grandes Écoles) at Lycée Jules Haag, Besançon
January 1, 2016 - January 1, 2019PhD in Artificial Intelligence at Grenoble / Crolles (CIFRE Thesis with STMicroelectronics and Université Grenoble Alpes)
March 1, 2023 - March 1, 2026Master in Microsystems, Embedded Instrumentation, and Robotics (Double Degree) at Université de Franche-Comté
January 1, 2021 - January 1, 2022Engineering Degree (Microsystems & Embedded Instrumentation) at École Nationale Supérieure de Mécanique et des Microtechniques - Besançon
January 1, 2019 - January 1, 2022CPGE (Preparatory Classes for Grandes Écoles) at Lycée Jules Haag, Besançon
January 1, 2016 - January 1, 2019PhD in Artificial Intelligence at Grenoble / Crolles (CIFRE Thesis with STMicroelectronics and Université Grenoble Alpes)
March 1, 2023 - March 1, 2026Double Degree: Master in Microsystems, Embedded Instrumentation, and Robotics at Université de Franche-Comté
January 1, 2021 - January 1, 2022Engineering Degree (Microsystems & Embedded Instrumentation) at École Nationale Supérieure de Mécanique et des Microtechniques - Besançon
January 1, 2019 - January 1, 2022CPGE (Preparatory Classes for Grandes Écoles) at Lycée Jules Haag, Besançon
January 1, 2016 - January 1, 2019Qualifications
Industry Experience
Computers & Electronics, Software & Internet, Professional Services, Manufacturing, Education
Experience Level
Expert
Expert
Expert
Expert
Expert
Intermediate
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