In order to support the Data Processing & Analytics department, Airbus Defence and Space is looking for an Intern as a Digital-Twin Spacecra
Baut Power-BI-Dashboards für KPIs, analysiert Produktionsdaten und prototypisiert erste KI-Lösungen für Prozessverbesserungen.
Company:Qualcomm Technologies GmbHJob Area:Interns Group, Interns Group > Workstudy InternGeneral Summary:PhD Company: Qualcomm Technologies
Focus: Building and developing software applications with a focus on APIs and GenAI-based solutions in client projects - You work as part of
will include, but are not limited to: - Monitor and research state-of-the-art developments in Edge AI, including model optimization, AI comp
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.
About We are looking for a motivated Working Student to support our AI Engineering team in developing and testing practical AI-driven applic
is particularly suited to students considering a future PhD who want to develop their ability to investigate research questions, evaluate id
Zur Unterstützung der Abteilung Tooling Design Single Parts sucht Airbus Helicopters einen Praktikanten / Abschlussarbeit - Titel: KI & Surr
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Location EAC, Porz-Wahn, Germany Our team and mission The CAVES and PANGAEA team specialises in training programmes that equip astronauts an
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Als Teil des Research- & Knowledge-Management-Teams spielst du eine wichtige Rolle bei der Gewinnung, Strukturierung und Weitergabe von Wiss
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The Data and Analytics division (DAA1) is Munich Re s hub for data, analytics, and AI-driven innovation.
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Model quality evaluation: Measure how low-precision computation affects performance on coding and reasoning benchmarks.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Entwicklung eines Humanoiden-Roboter-Showcases: Gehen lernen, Aufgaben per Sprache entgegennehmen und mit generativer KI lösen.
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
If you are a member or alumni of a Formula Student team, this is exclusively for you - applying to this role ensures that the people you int
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Entwickelt Softwarekomponenten in C++ und entwickelt sowie evaluiert CV- und ML-Algorithmen für KI-gestützte robotische Chirurgie.
Internship Program Berlin Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
: In order to support the Data Processing & Analytics department, Airbus Defence and Space is looking for an Intern as a Digital-Twin Spacecraft Engineer (d/f/m) Are you looking for an internship and want to get to know the work of a Digital-Twin Spacecraft Engineer? Then apply now! We look forward to you supporting us in the Data Processing & Analytics department as an intern (d/f/m)! - Location: Immenstaad - Start: As soon as possible - Duration: 3-6 months Your location At the Airbus site in Immenstaad on Lake Constance, you’ll work where the future of Connected Intelligence, Space, and Air Power takes shape. In an environment that offers vision, you will shape technological innovations across domains. Context You will join the Data Processing & Analytics department, a transnational department responsible for the development of digital engineering solutions for space missions and products with strong interactions with the engineering professions for space systems. The part of the organisation, where you will be working, has diverse profiles (aerospace engineers, systems engineers, data scientists, project managers, product managers, software developers, big data architects) which will help you onboard and understand the various aspects of digital engineering and data science for space applications. In addition, our team are working on various topics including: - Realizing Digital Twin concept with overall architecture and use cases along end-to-end space mission lifecycle - Formalization of system data in Knowledge Graphs, - Time series anomaly detection, - Realisation of surrogate models in relation to different space professions, - Mathematical optimization (design optimization, architecture, etc.) - Natural language processing (NLP) and Large Language Models (LLM). In this field, the team is working on several internal R&D projects and external initiatives in connection with innovative startups and space institutions, with the aim of meeting the internal needs of Airbus Defence and Space in terms of digital systems engineering and AI solutions. Your
You will contribute to the following activities: - Support the use case for integrating CAD data and mechanical engineering processes into the overall space systems engineering knowledge base in Digital-Twin platform. - Understanding user needs, and definition of needed building blocks to correctly build and evaluate models and automate the process. - Preparation of knowledge base by designating and collecting data sources, and implementing pipelines. - Processing and integration of mechanical engineering data into artefacts from thermal and functional engineering domains. - Implementation of dashboards, user interfaces and prompts for presentation in-line with end-user requirements. - Collection of all involved concepts in an Ontology, describing the relationships in between artefacts. - Testing of the end-to-end solution with subject matter experts and successive iterations. - Support development of Digital-Twin platform architecture & modules via the experience gained on the implemented use-case. - Identify, propose and support other use-cases along the end-to-end space mission lifecycle. Desired skills and qualifications - Enrolled full-time student (d/f/m) in the area of aerospace engineering, systems engineering, data science, artificial intelligence, computer science, software engineering or an equivalent field of study. - Enthusiasm and comprehension towards space business - Curiosity, proactive, dedication to deliver - Good presentation skills, ability to showcase work to various people (Aerospace engineers, technical experts, data scientists, managers, project managers etc.) - Space systems engineering processes, methods and tools (e.g. CAD, mission & system analysis, MBSE, domain knowledge on mechanicalfunctional engineering etc.) - Ontology Engineering and Data Modeling - Manipulation and data analytics in python - Software and big data platform architecture / RAG (vectorial databases, data security, user access, hardware etc.), agentic workflows. - Deep learning and LLMs frameworks (tensorflow, pytorch, transformers, langchain, …) - Fluent in English and German
- Attractive salary and work-life balance with a 35-hour week (flexitime). - A final thesis is possible after consultation with the department. - International environment with the opportunity to network globally. - Work with modern/diversified technologies. - Opportunity to participate in the Generation Airbus Community to expand your own network.
Please upload the following documents: cover letter, CV, relevant transcripts, enrolment certificate. Not a 100% match? No worries! Airbus supports your personal growth. Take your career to a new level and apply online now! #MYCYM This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Company: Airbus Defence and Space GmbH Employment Type: Internship ------- Experience Level: Student Job Family: Digital By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to. At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
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Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.