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Romain MottierRM

Romain Mottier

Research scientist | AI Integration & Audit

500 €/jour
Bâle, CH
3-7 ans

Délai de réponse moyen : 1h

À propos de Romain

Former mechanical engineer (MSc), I specialised in applied mathematics (PhD) — I help companies solve complex technical problems where simulation, computation, and engineering meet.

With several years of experience in numerical modelling and scientific software development — through both a PhD at CEA and my current postdoctoral research at the University of Basel — I work with engineering teams, R&D departments, and industrial partners to turn difficult technical challenges into practical, reliable solutions.

Beyond scientific computing, I also help businesses of all kinds automate repetitive or time-consuming tasks using AI, and validate AI-generated or AI-assisted results — simulations, calculations, technical specs, or any other output — before they inform critical decisions.

Whether it is developing custom numerical solvers, improving simulation workflows, accelerating legacy scientific code, analysing complex datasets, automating business processes with AI, or auditing AI-assisted work, I provide both strategic insight and hands-on execution.

Available for part-time consulting, technical collaborations, and high-value problem-solving assignments — on-site in the Greater Basel Area or fully remote.
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

  • Espagnol

    Notions

Accepte de travailler sur site
Bâle (jusqu’à 10 km), Genève (jusqu’à 10 km), Zurich (jusqu’à 10 km), Lausanne (jusqu’à 10 km)

Expériences

  • Freelance client
    Portfolio Tracking & Stock Screening Desktop Application
    février 2026 - mai 2026 (3 mois)
    Developed a desktop application for individual investors to track and manage their stock portfolio, for a freelance client.

    The application includes a custom-built charting engine inspired by TradingView, allowing users to visualise price action and portfolio performance directly within the tool. It also integrates an AI-powered chart analysis feature, built on Ollama, to provide automated technical insights on selected stocks.

    A dedicated screener module identifies small-cap stocks showing signs of a trend reversal, helping users surface investment opportunities that would otherwise require manual chart-by-chart review.
    This project combined custom data visualisation, local AI model integration, and financial data processing into a single coherent desktop tool.
  • University of Basel
    Postdoctoral researcher
    CENTRES DE RECHERCHE
    octobre 2025 - Aujourd'hui (10 mois)
    Bâle, Suisse
    Design and implementation of advanced finite elements methods for the numerical simulation of wave propagation.
  • Commissariat à l’Énergie Atomique (CEA)
    PhD in applied mathematics
    ENERGIE
    octobre 2021 - juillet 2025 (3 ans et 9 mois)
    Paris, France
    Design and implementation of advanced finite elements methods for the numerical simulation of elasto-acoustic wave propagation.

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Formations

  • PhD
    École nationale des ponts et chaussées (ENPC)
    2025

Compétences

Catégories

  • Autre