Ihre Stelle im Überblick Diese Stelle wird vom Europäischen Forschungsrat (ERC) im Rahmen des Programms Horizont Europa (ERC Consolidator Grant TEMPORE) gefördert. Das Projekt leistet Pionierarbeit im Bereich des inversen Designs zeitlich veränderlicher Metamaterialien, die im Pikosekunden- bis Femtosekundenbereich arbeiten. Sie werden dazu beitragen, die Kontrolle von Licht in Raum und Zeit für vollständig reprogrammierbare, multifunktionale nanophotonische Systeme neu zu definieren.
BudgetkontrolleBegleitung der Ausschreibung und Vergabe von Bau- bzw. Generalunternehmerleistungen (Design & Build)Qualitäts-, Risiko- und Claim-Management durch regelmäßiges Reporting Beratung & Konzeption Technische und planerische Beratung beim AnmietungsprozessEntwicklung individueller Belegungskonzepte mit internen PlanungstoolsKreative Entwurfskonzepte (mit dem Design Team)Beratung zu technischen, baustrukturellen und genehmigungsrechtlichen FragestellungenBegleitung bei Farb-, Material- und Möblierungskonzepten Ihr Profil Ausbildung & Erfahrung Abgeschlossenes Studium: Architektur, Innenarchitektur, Bauingenieurwesen oder ProjektsteuerungBerufserfahrung in Planungsbüro oder Bau-/ProjektmanagementErfahrung mit Büro- oder Retail-Fit-outs von Vorteil Fachkompetenz Kenntnisse in Planung, Koordination und Überwachung von InnenausbaumaßnahmenKenntnisse von Bauvorschriften, Brandschutz und ArbeitsstättenrichtlinienGrundverständnis für TGA, Elektroinstallationen und Workplace-TechnologienSicherer Umgang mit Kosten- und Zeitplanungstools sowie MS Office/Excel Persönliche Stärken Selbstständige, strukturierte und ergebnisorientierte ArbeitsweiseExzellente Kommunikations- und Präsentationsfähigkeiten (Deutsch und Englisch mind.
Build and contribute to comprehensive material knowledge both within Airbus and among material suppliers, guiding customers whenever possible towards known, approved, and qualified solutions for efficient industrialization Develop and promote colors, materials, and finishes (CMF), including lighting solutions for the diverse Airbus product portfolio to strengthen brand identity in line with departmental strategy Provide concepts, guidance, and support for ongoing aircraft mock-up activities Understand brand purposes and translate customer brands (airlines) into cabin interior design concepts, including CMF design, lighting design, industrial design, and graphic design Your qualifications: A degree in Design, Interior Architecture, Textile Design, Architecture, Graphic Design, or a comparable field Professional experience in Interior Design, Customer Service, and Project Management Ability to present and communicate design concepts effectively (storytelling) is a plus CMF design experience is mandatory Brand design experience is mandatory Experience in fashion or textile design is a strong plus Good knowledge of Illustrator and Photoshop Familiarity with creative tools to communicate visually (e.g., Adobe CC, Blender) Fluency in English; knowledge of German and/or French is a plus Ability to quickly recognize and analyze relationships and functional processes Independent, structured, and result-oriented work approach to meet deadlines and coordinate workflows efficiently Strong communication skills to collaborate with stakeholders at all levels Willingness to travel to Toulouse and worldwide (frequency according to business needs) Wir freuen uns auf Ihre aussagekräftige Bewerbung (englischsprachiger Lebenslauf und Zeugnisse / Portfolio)
Your Responsibilities: Support the resolution of complex quality issues and continuous improvement projects by defining measurement standards and identifying/facilitating improvements to increase: Process performance and product adherence to standards Reliability of dedicated processes Repeatability of processes during the initial design phase, prior to any process changes, and continuously throughout the product lifecycle Support Quality focal points for new development projects Support APQP deployment within the Quality scope Facilitate PFMEA (Process Failure Mode and Effects Analysis) Support the development of quality solutions/technologies within new development initiatives together with subject‑matter experts Support quality stream meetings and coordinate activities between sites and organizations Process Quality Management: Ensure consistent application of process management guidelines in line with the EN9100 standard Ensure the process referential (competences, resource models, documentation plan, process networks, deployment areas) is up to date, managed, and continuously improved Proactively support the Process Management Teams in managing the process referential and improving process maturity Ensure that any process change is properly addressed by checking the consistency of the changes and their impacts Collaborate with local and central Process Management Teams to improve Airbus Business Process Management Ensure implementation and effectiveness of process adherence by monitoring progress and collecting adherence results Ensure the quality of process deliverables and surveillance plans, and review process resources, performance indicators, compliance results, etc.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed.