Professorship (W3) for Informatics with a Focus on Data Science

at  Springer Nature

PROFESSORSHIP (W3) FOR INFORMATICS WITH A FOCUS ON DATA SCIENCE

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 Informatics with a Focus on Data Science
Institution: Faculty of Mathematics, Informatics and Natural Sciences
Commencement of duties: Summer Semester 2025
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.
Universität Hamburg offers data-intensive fields of application and various research opportunities in informatics through its core research areas Climate, Earth and Environment; Infection Research; Particle, Astro- 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 Faculty of Mathematics, Informatics and Natural Sciences is seeking a professor (W3) of informatics with a focus on data science.
The successful candidate is expected to develop the fundamental statistical and computer-based methods for creating, processing, and analyzing complex and large amounts of data. Proven knowledge and experience in data analysis, machine learning, artificial intelligence, as well as handling and processing large amounts of data is required.
The professor is expected to participate in the University’s core research areas.
Potential method-oriented research areas include those in the fields of computational stochastics and statistics, analytics of visual and multimodal data, distributed learning from data, and aspects of reliability for data analysis. The professorship should also strengthen core informatics in research and teaching through a basic focus on the informatics aspects of data science.
In collaboration with the W3 professorship for data engineering, the successful candidate is expected to further develop the data science activities in the Department of Informatics and improve cooperation with other Hamburg universities and nonuniversity research institutions in the field. The professorship is expected to link with the department’s research activities in the field of cognitive systems. In addition, involvement in the University’s activities in the House of Computing and Data Science (HCDS) is also desired.
The professor is expected to actively participate in the degree programs of the department and be available for teaching in other degree programs. In particular, participation in the newly established English-language Master of Science in Data Science and Artificial Intelligence is expected.
Your profile
We are looking for a candidate with an outstanding academic track record and research experience in the professorship field.
In addition to international recognition, applicants are expected to have an excellent track record of publications and projects attesting to outstanding research in the field outlined, and at least one of the method-oriented research foci. Applicants should also demonstrate the willingness and ability to collaborate in the department’s and the faculty’s research areas as well as outside of these institutions, for example in application-related cooperation projects.
The successful candidate is required to have experience and a successful track record in acquiring third-party funding for projects. In addition, very good didactic skills and experience in university teaching are expected. Experience with managing staff is desirable.
In addition, German-language proficiency or the willingness to obtain these skills within two years of commencing is desired.
Additional information
Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.

Please refer the Job description for details