Studium mit Kenntnissen in den Bereichen Machine Learning oder DataScience in Kombination mit einer der Fachrichtungen Maschinenbau, IT, Mechatronik/Feinwerktechnik oder (techn.) Physik
Studium mit Kenntnissen in den Bereichen Machine Learning oder DataScience in Kombination mit einer der Fachrichtungen Maschinenbau, IT, Mechatronik/Feinwerktechnik oder (techn.) Physik
Erwerben von Erfahrungen im Umgang mit Methoden sowie Technologien der Künstlichen Intelligenz und DataScience * bereits während des Studiums Einblicke in grundsätzliche betriebliche Abläufe in den Kernfunktionsbereichen mit Bezug zu DataScience und Künstliche Intelligenz erhalten * interdisziplinärer Studiengang in DataScience und Künstliche Intelligenz * vertiefendes Wissen in DataScience, Big Data sowie Machine Learning im Rahmen der Digitalen Transformation aufbauen * Erwerb des Abschlusses „Bachelor of Science“
Erwerben von Erfahrungen im Umgang mit Methoden sowie Technologien der Künstlichen Intelligenz und DataScience * bereits während des Studiums Einblicke in grundsätzliche betriebliche Abläufe in den Kernfunktionsbereichen mit Bezug zu DataScience und Künstliche Intelligenz erhalten * interdisziplinärer Studiengang in DataScience und Künstliche Intelligenz * vertiefendes Wissen in DataScience, Big Data sowie Machine Learning im Rahmen der Digitalen Transformation aufbauen * Erwerb des Abschlusses „Bachelor of Science“
You combine software engineering, physics, and datascience to solve complex challenges in high-precision lithography systems. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. You will work at the intersection of software, physics, and data analysis, translating process knowledge into powerful robust mathematical software solutions. * You will work with data structures and software development (Matlab, Python) by using OPP, Git-based collaboration, pipelines (CI/CD) and automated testing. * Technical degree (mechanical/electrical/industrial engineering, mechatronics, physics, mathematics, computer science, or similar), ideally with a Ph.D. in a relevant field or significant professional experience in tolerance analysis, simulation, or scientific computing.
You combine software engineering, physics, and datascience to solve complex challenges in high-precision lithography systems. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. You will work at the intersection of software, physics, and data analysis, translating process knowledge into powerful robust mathematical software solutions. * You will work with data structures and software development (Matlab, Python) by using OPP, Git-based collaboration, pipelines (CI/CD) and automated testing. * Technical degree (mechanical/electrical/industrial engineering, mechatronics, physics, mathematics, computer science, or similar), ideally with a Ph.D. in a relevant field or significant professional experience in tolerance analysis, simulation, or scientific computing.
Du verfügst über ein überdurchschnittlich abgeschlossenes Erststudium im kaufmännischen und/oder technischen Bereich (z. B. Wirtschaftswissenschaften, Wirtschaftsingenieurwesen, Betriebswirtschaft, DataScience oder einer vergleichbaren Fachrichtung). Unterstütze die Voith Group | Konzernbereich Corporate Functions & Services als Junior Project Manager (m/w/d) AI-Driven Strategic Procurement (Steinbeis-Masterstudium) * Ein starkes Interesse an Themen des strategischen Einkaufs, sowie Data Analytics, KI-Tools und aktuellen digitalen Innovationen zeichnen Dich aus.
Du verfügst über ein überdurchschnittlich abgeschlossenes Erststudium im kaufmännischen und/oder technischen Bereich (z. B. Wirtschaftswissenschaften, Wirtschaftsingenieurwesen, Betriebswirtschaft, DataScience oder einer vergleichbaren Fachrichtung). Unterstütze die Voith Group | Konzernbereich Corporate Functions & Services als Junior Project Manager (m/w/d) AI-Driven Strategic Procurement (Steinbeis-Masterstudium) * Ein starkes Interesse an Themen des strategischen Einkaufs, sowie Data Analytics, KI-Tools und aktuellen digitalen Innovationen zeichnen Dich aus.
You have successfully completed an above-average Bachelor degree in a business-related and/or technical field (e.g. Business Administration, Industrial Engineering, Economics, DataScience, or a comparable discipline). Join us in shaping the next generation of procurement: data- and strategy-driven, global, and AI-supported. * Using modern AI tools, which you will help develop together with our team, you will analyze global procurement data (e.g. prices, suppliers, etc.). * Based on the collected data, you will contribute to identifying cost-saving potentials and optimization levers. * You have a strong interest in strategic procurement, data analytics, AI tools, and current digital innovations.
You have successfully completed an above-average Bachelor degree in a business-related and/or technical field (e.g. Business Administration, Industrial Engineering, Economics, DataScience, or a comparable discipline). Join us in shaping the next generation of procurement: data- and strategy-driven, global, and AI-supported. * Using modern AI tools, which you will help develop together with our team, you will analyze global procurement data (e.g. prices, suppliers, etc.). * Based on the collected data, you will contribute to identifying cost-saving potentials and optimization levers. * You have a strong interest in strategic procurement, data analytics, AI tools, and current digital innovations.
Master's degree in Computer Science, Information Systems, DataScience, or similar; ideally complemented by relevant certifications or a PhD in data/AI - All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. As a global partner to all HR teams, we design and govern end‑to‑end HR System Landscape, HR Core Processes, and platforms, build strong international communities, and ensure excellent, reliable HR Services Delivery with a data and AI centric perspective In all we do, we are leveraging automation, data, and AI to create a high‑performance, insight‑driven HR organization. Joining us means playing a key role in turning data into better decisions, modern technology into smarter ways of working, and global collaboration into real business impact for ZEISS.
Master's degree in Computer Science, Information Systems, DataScience, or similar; ideally complemented by relevant certifications or a PhD in data/AI - All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. As a global partner to all HR teams, we design and govern end‑to‑end HR System Landscape, HR Core Processes, and platforms, build strong international communities, and ensure excellent, reliable HR Services Delivery with a data and AI centric perspective In all we do, we are leveraging automation, data, and AI to create a high‑performance, insight‑driven HR organization. Joining us means playing a key role in turning data into better decisions, modern technology into smarter ways of working, and global collaboration into real business impact for ZEISS.
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All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. In this technologically exciting environment, you and your product team will work on application solutions for (automatic) data exchange and data management for various business domains and SMT-specific processes. As Head of Data Processing Services (f/m/x), you will lead a diverse product team of , , and . As a technical sparring partner, you support the development of resilient solution designs by analyzing and evaluating existing applications, data structures and system architectures. * An excellent university degree in Computer Science or Business Informatics
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. In this technologically exciting environment, you and your product team will work on application solutions for (automatic) data exchange and data management for various business domains and SMT-specific processes. As Head of Data Processing Services (f/m/x), you will lead a diverse product team of , , and . As a technical sparring partner, you support the development of resilient solution designs by analyzing and evaluating existing applications, data structures and system architectures. * An excellent university degree in Computer Science or Business Informatics
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * Implement and maintain data processing, image evaluation, and automation routines in and . * Proficient in and for data analysis and automation.
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * Implement and maintain data processing, image evaluation, and automation routines in and . * Proficient in and for data analysis and automation.
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * Further develop and refine existing ZEISS retail formats based on market feedback, customer insights, and performance data. * Proven track record in managing or supporting multi-store operations, implementing retail standards and processes as well as improving store performance through data-driven decisions
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * Further develop and refine existing ZEISS retail formats based on market feedback, customer insights, and performance data. * Proven track record in managing or supporting multi-store operations, implementing retail standards and processes as well as improving store performance through data-driven decisions
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * Ability to translate strategic directions into actionable workstreams, pilots, and initiatives, supported by data-driven continuous improvement using KPIs and qualitative feedback.
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * Ability to translate strategic directions into actionable workstreams, pilots, and initiatives, supported by data-driven continuous improvement using KPIs and qualitative feedback.
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * A technical degree in Electrical Engineering, Computer Science, Mechatronics, Aerospace Engineering, or another scientific field with comparable professional experience * Experience in data analysis and structured root cause analysis
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * A technical degree in Electrical Engineering, Computer Science, Mechatronics, Aerospace Engineering, or another scientific field with comparable professional experience * Experience in data analysis and structured root cause analysis
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * Support our team in developing software tools for detailed analysis of measurement data as part of the qualification of our mechatronic systems * You are enrolled in a technical degree program (preferably a Master's program), for example in Mechatronics, Electronics Engineering, Engineering Cybernetics, Computer Science or a comparable field of study * You have solid knowledge in dynamics and control engineering and, ideally, initial experience in the analysis and interpretation of measurement data of mechatronic systems
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * Support our team in developing software tools for detailed analysis of measurement data as part of the qualification of our mechatronic systems * You are enrolled in a technical degree program (preferably a Master's program), for example in Mechatronics, Electronics Engineering, Engineering Cybernetics, Computer Science or a comparable field of study * You have solid knowledge in dynamics and control engineering and, ideally, initial experience in the analysis and interpretation of measurement data of mechatronic systems
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * Experience in data management as well as programming skills and knowledge in machine learning are an advantage
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * Experience in data management as well as programming skills and knowledge in machine learning are an advantage
Your responsibilities will also include creating statistics and conducting related data analyses. * You are currently enrolled in a business, technical, or social sciences degree program, preferably with a focus on Human Resources, and are looking for a mandatory internship.
Your responsibilities will also include creating statistics and conducting related data analyses. * You are currently enrolled in a business, technical, or social sciences degree program, preferably with a focus on Human Resources, and are looking for a mandatory internship.
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * Develop and implement algorithms to interpret sensor data * A bachelor's degree and are enrolled in a master's program in engineering, optics & photonics, computer science, physics, or similar * Ideally hands-on experience in an optics laboratory or with data acquisition electronics
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * Develop and implement algorithms to interpret sensor data * A bachelor's degree and are enrolled in a master's program in engineering, optics & photonics, computer science, physics, or similar * Ideally hands-on experience in an optics laboratory or with data acquisition electronics
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * Excellent college degree (Master's/Diploma) in computer science, physics, electrical engineering, or a comparable field * Ideally, a deep understanding of the control of complex optical machines, the integration of electronic components, and high-speed data processing, as well as some experience in project management
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * Excellent college degree (Master's/Diploma) in computer science, physics, electrical engineering, or a comparable field * Ideally, a deep understanding of the control of complex optical machines, the integration of electronic components, and high-speed data processing, as well as some experience in project management
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. We develop and produce high-performance tactile, optical 3D and X-ray measuring devices and also offer suitable software solutions for analysing measurement data. * Degree in a technical field such as physics, mechanical engineering, or a comparable engineering/science discipline.
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. We develop and produce high-performance tactile, optical 3D and X-ray measuring devices and also offer suitable software solutions for analysing measurement data. * Degree in a technical field such as physics, mechanical engineering, or a comparable engineering/science discipline.
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * You will assist with the installation, configuration, updates, and upgrades of container-based applications and work on their orchestration and data storage in close collaboration with experienced colleagues and customers * A successfully completed college degree in computer science, information technology, mathematics, or a comparable field
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * You will assist with the installation, configuration, updates, and upgrades of container-based applications and work on their orchestration and data storage in close collaboration with experienced colleagues and customers * A successfully completed college degree in computer science, information technology, mathematics, or a comparable field
Das explorhino Science Center in Aalen hat sich in den letzten Jahren hervorragend entwickelt. * Co-Leitung des Planetariumbetriebes und des explorhino Science Centers
Das explorhino Science Center in Aalen hat sich in den letzten Jahren hervorragend entwickelt. * Co-Leitung des Planetariumbetriebes und des explorhino Science Centers
Data Governance: Du entwickelst Governance-Regeln für Materialstammdaten weiter und definierst verbindliche Standards, z. B. für Namenskonventionen, Pflichtfelder und Datenmodelle.
Data Governance: Du entwickelst Governance-Regeln für Materialstammdaten weiter und definierst verbindliche Standards, z. B. für Namenskonventionen, Pflichtfelder und Datenmodelle.
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Für den Bereich "Data Analysis & Fusion" suchen wir am Standort Oberkochen, Einsatzort Aalen zum nächstmöglichen Zeitpunkt einen Ingenieur für Machine Learning in der Bildverarbeitung (w/m/d)
Für den Bereich "Data Analysis & Fusion" suchen wir am Standort Oberkochen, Einsatzort Aalen zum nächstmöglichen Zeitpunkt einen Ingenieur für Machine Learning in der Bildverarbeitung (w/m/d)
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * You are currently studying Business Administration, Business Engineering, Mechanical Engineering, Mathematics, Computer Science or a related field; ideally, you have already completed your bachelor's degree
All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. * You are currently studying Business Administration, Business Engineering, Mechanical Engineering, Mathematics, Computer Science or a related field; ideally, you have already completed your bachelor's degree