Job
- Level
- Lead
- Ort
- Friedrichshafen
- Arbeitsmodell
- Onsite
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Professur entwickelst du sowohl Grundlagen als auch fortgeschrittene Datenmethoden, leitest Forschungsprojekte und betreust Studierende in interdisziplinären Themen der Datenwissenschaft und Datenverarbeitung.
Job Technologien
Deine Rolle im Team
- As a professor of Data Science and Data Engineering, you will provide university wide teaching in foundational and advanced data driven methods, including Data Science Foundations (data handling, exploratory analysis, statistics), Programming for Data Analysis (e.g., Python/R data workflows), Data Engineering & Pipelines (ETL, data integration, distributed systems), Cloud Computing for Data Application, Data Visualization and Communication, Research Data Management and Reproducibility.
- You will supervise research, project, and thesis work across all study programs and the Graduate School.
- You will also contribute to transfer activities with industry and societal partners.
- A commitment to academic self governance, internationalization, and strategic development of Zeppelin University is also expected.
- You will work in close collaboration with the other chairs endowed by ZF Friedrichshafen AG - the Chair of Artificial Intelligence, and the Chair of Systems of Virtual Reality - which is a core element of the research and teaching strategy.
- The position builds data foundation, provides data, infrastructure and pipelines, and data analytics.
- By joining Zeppelin University, you will shape a new generation of leaders who combine analytical excellence, technological literacy, and societal responsibility.
- You will play a significant role in positioning the university for the digital age.
- You will teach courses that are characterized by small class sizes and close interaction with our highly motivated students.
Unsere Erwartungen an dich
Ausbildung
- To be eligible for the position, applicants must meet the requirements for appointment pursuant to § 47 of the Higher Education Act of the State of Baden-Württemberg.
- In particular, they must hold a doctoral degree in the relevant discipline and demonstrate a track record of significant independent research contributions to the field.
Qualifikationen
- Your academic background is in computer science, mathematics, statistics, econometrics, or related fields.
- You are developing an interdisciplinary research agenda, covering topics such as Data Engineering (e.g., data pipelines, workflow orchestration, and distributed data processing such as for instance Spark, streaming systems), Data Platforms: cloud-native architectures, data lakes, data warehouses, Data Management: data modelling, integration, governance, and metadata systems, Applied Data Science: statistical modeling, exploratory data analysis, and visualization, Reproducible Data Workflows: versioning, documentation, and research data management.
Erfahrung
- You have proven experience in Data Science and Data Engineering.
- You have experience in the successful acquisition of third party funding (research grants).
- Experiences in collaboration with industry would also be an advantage.
Unser Angebot
- Zeppelin University is an equal opportunity employer.
- The university is committed to fostering a family-friendly work environment and promoting gender equality in academia.
- We therefore especially encourage applications from female scholars.
- Applicants with disabilities who are equally qualified will be given preferential consideration.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Zeppelin GmbH
Der weltweit an mehr als 200 Standorten aktive Zeppelin Konzern mit knapp 9.000 Mitarbeitern erwirtschaftete im Geschäftsjahr 2018 einen Umsatz von 2,9 Milliarden Euro. Der Konzern bietet Lösungen in den Bereichen Bau-, Bergbau- und Landmaschinen, Baulogistik und Baustellenmanagement, Miet- und Projektlösungen, Antrieb und Energie, Engineering und Anlagenbau und entwickelt neue digitale Geschäftsmodelle für die Bauwirtschaft und Industrie.
Description
- Unternehmensgröße
- 50-249 Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Bau, Immobilien, Haustechnik