Professor „Big Data: methods and technologies“

With over 15,000 students, four departments with more than 270 professors and more than 1,000 employees in teaching, research and central service units, Frankfurt University of Applied Sciences is one of the largest universities of applied sciences in Germany. "Opportunities through education" is our living motto. Practical relevance, interdisciplinary education, international orientation and regional integration characterize our profile. Diversity and social responsibility are our values. We are sustainable in all dimensions. Excellent quality in teaching and research is our aspiration. Together with our partners in the U!REKA university alliance, we form a European university.

We are looking to fill the following position in Faculty 2: Computer Science and Engineering begin- ning by April 01, 2025:

Professor

(W2 salary scale HBesG, Hessian Federal Civil Service Remuneration Act)
in the following subject area:
„Big Data: methods and technologies“
Job advertisement number P36/2024

Are you passionate about generating added value from large amounts of data in the company? Do you also enjoy imparting this knowledge to young talents with enthusiasm and practical relevance? Then join our team! At our university, you can not only pass on your knowledge, but also actively conduct research and drive forward the development of innovative methods and technologies in the field of big data.

Your tasks:

• You will teach courses in the a. m. subject area in the basic computer science subjects of our Bachelor's degree programs and in our Master's degree programs in German and English.
• You will be actively involved in the research-related project modules of our Master's degree programs and supervise our students in their project work and Bachelor’s and Master’s theses.
• You will be involved in applied and interdisciplinary research, particularly in the a. m. subject area and initiate/maintain collaborations with practice partners in Germany and abroad.
• You are committed to the further development of the university and contribute to the internationalization of our university.

Your profile:

• You have a successfully completed a scientific or technical university degree in computer sci- ence, mathematics, physics or a comparable subject and a relevant doctorate
• You have at least five years of professional experience, including at least three years outside the university sector, ideally in at least two of the following subject areas:
  large-scale data analysis with AI / data organization and data flow management / large standard and non-standard databases / use of current big data technologies such as Hadoop, Spark, MongoDB, Kafka
• You are committed, team-oriented and enjoy interdisciplinary, diversity-sensitive work in teaching and research.

In addition following points are desirable:

• You have initial teaching experience, for example, teaching assignments or didactic training.
• You can demonstrate your academic qualifications through publications (conferences and/or journals), the acquisition of third-party funding and the successful implementation of research projects.

Please enclose a teaching and research concept that meets the requirements of the position with your application.

If you have any questions, please contact the chair of the appointment committee, Prof. Doina Logofatu, by e-mail: logofatu@fb2.fra-uas.de.

Further information on what makes a professorship with us so exciting, what requirements you need to fulfill and what application documents you need can be found at: www.frankfurt-univer- sity.de/karriere-prof

Our offer:

• We promote the compatibility of family and career through self-determined work with a large amount of freedom in terms of content and time as well as our activities within the framework of the “audit family-friendly university” certificate
• structured onboarding by the department's “Professorship” service team and our university didactics week
• university-owned, high-performance AI hardware and our own doctoral rights in our “Applied Computer Science” doctoral center
• Internationally oriented environment to carry out joint teaching and research projects
• Support in the preparation of your national and international research proposals by our “Research, Innovation and Transfer - FIT” department
• Free Hessen state ticket and good transport links (public transport, underground parking), bicycle-friendly facilities (including bicycle parking spaces, service stations and service pedelecs)
• A lively campus in the heart of Europe with an extensive sports and events program (Cam- pusSport, CampusKultur)

The position is open-ended. When first appointed to a professorship, employment is initially in a probationary civil servant relationship or in a permanent employment relationship with a three-year probationary period. Further employment requirements and duties are set out in sections 67 - 69, 75 and 76 of the Hessian Higher Education Act (available at www.hmwk.hessen.de).

We are actively committed to equal opportunities, diversity and inclusion. We expressly welcome applications from people with a history of migration and attach great importance to family-friendly working hours. Persons with a severe disability or equivalent will be given preferential consideration if they have the same qualifications. Our university is also committed to increasing the proportion of women employed in STEM professions and therefore strongly encourages women to apply.

Have we convinced you? Then please send your application with the usual informative documents (incl. list of publications, projects, presentation of previous teaching and research activities) by September 30, 2024, quoting the reference number, by email to info-prof@hr.fra-uas.de (please send all documents in one PDF file):

To the President of the
Frankfurt University of Applied Sciences
Human Resources
Nibelungenplatz 1, D-60318 Frankfurt

www.frankfurt-university.de