Professorship (W3) for Data Engineering
vor 3 Wochen
**Professorship (W3) for Data Engineering**:
- Employer- Universität Hamburg- Location- Hamburg (DE)- Salary- W3- Closing date- 24 Jun 2024- Discipline
Computing
Job Type
Professor
Employment - Hours
Full time
Duration
Permanent
Qualification
PhD
Sector
Academia- You need to sign in or create an account to a job.
Professorship (W3)
for Data Engineering
**Institution**: Faculty of Mathematics, Informatics and Natural Sciences
**Commencement of duties**: Winter Semester 2024
**Application deadline**: 2024-06-06
Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle “Innovating and Cooperating for a Sustainable Future” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.
- and Mathematical Physics; Manuscript Cultures; and Neurosciences and Cognitive Systems. These interdisciplinary possibilities and broad-based core informatics make Hamburg the ideal location for research in informatics, artificial intelligence, and data science methods. Whether you are a researcher at the beginning of your career or an established expert, work with us to shape the excellent strategic development of Hamburg into an international data hub for informatics.
**Responsibilities**:
The field covers the systematic development of methods and architectures for reliable, high-performance, and scalable systems that allow us to process and analyze very large, continually growing quantities of heterogeneous data based on modern system development methods and the associated data processing and storage.
The successful applicant is expected to participate in the University’s core research areas. This includes possible involvement in the Climate, Earth and Environment area.
Potential research areas include
- the processing of high-volume data sets in scientific simulations connected to the University’s core research areas (e. g., climate modeling and its data)
- the methodical development and improvement of data management systems for redundant, erroneous, or incomplete data
- the utilization of data in connection with machine learning methods
- the streaming processing of data
- the integration of local data storage systems as well as cloud and edge storage systems
- the connection of large, efficient, distributed storage systems to HPC infrastructures
The professorship participates actively in the Department of Informatics’ degree program, including at undergraduate level (particularly basic database training) and in teaching at external institutions. In particular, involvement in the newly established English-language master’s degree program Data Science and Artificial Intelligence is expected.
**Profile**:
Additional information
Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.
**Contact**
Prof. Dr. Thomas Ludwig
+49 40 42883-2174
**Reference number**
2432/W3
**Application deadline**
2024-06-06
Upload all supporting documents as a single PDF:
- cover letter
- CV
- list of publications
- proof of teaching experience
- proof of experience and success in acquiring external funding and conducting externally funded projects
- certificates and supporting documents
- 3 representative publications
- course list
- statement outlining your plans for future research and teaching
- evaluations, if applicable
- further supporting documents such as talks, posters, important positions within organizations, if applicable
Read more information on data protection in selection procedures.
Section 15 Hamburg higher education act (Hamburgisches Hochschulgesetz, HmbHG) applies. The nature and scope of tasks are determined pursuant to Section 12 subsection 7 HmbHG.
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