Job
- Level
- Lead
- Location
- Friedrichshafen
- Working Model
- Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this professorship, you will develop both foundational and advanced data methods, supervise research projects, and mentor students in interdisciplinary topics of data science and data engineering.
Job Technologies
Your role in the 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.
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Our expectations of you
Education
- 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.
Qualifications
- 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.
Experience
- You have proven experience in Data Science and Data Engineering.
- You have experience in the successful acquisition of third-party funding (research grants).
- Experience in collaboration with industry would also be an advantage.
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What we offer
- 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.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
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
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Construction, Real Estate, Building Services
Endowed Full Professorship of Data Science and Data Engineering
- Location
- Friedrichshafen
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
