Computational Scientist / Scientific Machine Learning
Fusionality is building the measurement, simulation, and control stack for the fusion energy reactors of the future.
Fusionality is building the measurement, simulation, and control stack for the fusion energy reactors of the future.
Betreut die BioNMR-Anlage, schult Nutzer, baut Python/R-Datenpipelines und integriert ML-Werkzeuge in die Spektrenverarbeitung.
As an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices.
Du machst Machine Learning produktionsreif: Du entwickelst skalierbare Daten- und Modell-Pipelines auf AWS und bringst Machine-Learning-Mode
Vicoland gives the professional services market a new dimension: Virtual Companies – Vicos.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
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Aktive Mitarbeit in einem engagiertem BI Competence Center Team Aufbereitung, Analyse, Organisation und Modellierung von Daten Zusammenarbei
Du verfügst über ein abgeschlossenes Studium im Bereich Informatik, Data Science, KI oder einem verwandten Fach sowie langjährige Berufserfahrung (mind.
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Leitet ein internationales Risk-Analytics-Team, entwickelt Risikostrategien und unterstützt ML-basierte Modelle für die Kreditentscheidung.
Entwickelt Python/Django-Features für eine Praxissoftware und integriert lokal laufende KI-Modelle für Dokumentenklassifikation und Extraktion.
We are looking for a motivated and skilled ML Engineer to join our AI team.
Forschung an KI-Algorithmen und ihrer Hardware-Umsetzung: Entwurf von Chips für assoziative Speicher, KAN-Beschleuniger und lokale Lernregeln.
Leitet das Risk-Analytics-Team, entwickelt Risikostrategien und ermöglicht ML-basierte Modelle für Risikoentscheidungen bei einem FinTech.
Führen vom Data Science Team, samt Organisation und Strategie.
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About FION European industry is losing competitiveness because electricity here is more expensive and more volatile than in the US or China.
Place of Employment: Aachen und Jülich Start Date: To the next possible date Salary: Pay group 13 (80%) TVöD-Bund Application Deadline: The
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Substantial code written in a differentiable framework. Our stack is in JAX, Julia or PyTorch experts are very welcome if they’re happy to switch. Strong background in numerical methods for ODEs and PDEs: discretisation, stiff and implicit solvers, nonlinear and sparse linear solvers.
Demonstrated ability to operate at the frontier of SciML, Universal Differential Equations, Neural ODEs, and other emerging hybrid data-driven/mechanistic paradigms. Evidence of independent work at the highest level: a PhD or thesis, published code that is used by others, or an industry project you owned. Proficient using Agentic coding and other modern AI technologies to accelerate your work, while remaining accountable for the results.
Experience in the following fields an advantage but not strictly required: The JAX ecosystem: Diffrax, Equinox, Optax, Lineax. Plasma, fluid, electromagnetic, or other multiphysics simulation. Having led the design of a scientific codebase used by others.
Play a key role at a dynamic, fast-growing startup, shaping the technical solutions and products from the ground up. Build cutting-edge technology to monitor and control plasmas in real fusion devices, working side-by-side with leading plasma and control experts. Great working conditions, located in Lausanne, Switzerland, a city and country known for its high quality of life.
Competitive salary and equity compensation and benefits including immigration assistance.
Fusionality is building the measurement, simulation, and control stack for the fusion energy reactors of the future. Spun out of EPFL’s Swiss Plasma Center and backed by top investors, our technology enables reliable operation, real-time monitoring, and analysis of high-temperature plasmas in fusion devices. We are founded by world-class experts at the intersection of fusion physics, advanced control, and AI (ex-Google DeepMind, EPFL).
We are assembling a founding engineering team in Lausanne to build our core technology platform. We are looking for a Computational Scientist specialized in Scientific Machine Learning (SciML) to join our team. This job is for you if you know how to write numerical solvers that are fast, correct and differentiable end to end, and want to see them run against real plasma data and inside real control systems.
We are looking for a PhD-level or senior computational researcher for this role. Responsibilities Design, implement and validate differentiable solvers in JAX for plasma physics problems such as free-boundary equilibrium, transport and state estimation. Make them robust and fast enough for production use via advanced numerical techniques for differential equation time stepping, as well as optimization of GPU/TPU performance.
Using automatic differentiation for model calibration against experimental data, parameter estimation and controller design and optimization, working with our data and control engineers. Code ownership: quality, testing, verification against reference solutions, packaging and documentation.
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Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.