We are looking for an early career researcher from the field of computer science with a focus on Data Science and Artificial Intelligence methods in relation to specific application fields. The focus should be in the areas of business, public administration, or education. The tenure-track phase serves to broaden the range of qualifications, especially in concentration on Smart Services, Big Data analytics, process mining, learning analytics, or recommendation systems. A design-oriented approach and critical analysis of the opportunities and risks of Data Science is expected. Initially, the appointment is limited to four years (salary group 14 TV-L). The employment is regulated by the Act of Academic Fixed-Term Contract, §2 (1) (Wissenschaftszeitvertragsgesetz – WissZeitVG). Therefore, candidates may only be considered for appointment if they still have the respective qualification periods available in accordance with § 2 (1) WissZeitVG. The permanent position of a Senior Researcher (salary group 15 TV-L) can be assigned in case of proof of outstanding aptitude, performance and competence after successful completion of an evaluation. Research and scientific teaching are carried out independently within the framework of the Bremen Higher Education Act (§ 24 Abs. 2). The teaching responsibilities are four weekly hours per semester in the position as Researcher and nine weekly hours as Senior Researcher.

Within this framework, the tenure-track phase offers opportunities for independent profile development that goes beyond the previous professional expertise. The Data Science Center of the University of Bremen is available as a central infrastructure and enables collaborations for research, teaching and transfer.

Your tasks and responsibilities:

Independent research in the field of data science
Publication activities, organization of conferences / workshops, active participation in the acquisition of third-party funding)
Cooperation with partners from business and public administration and societal engagement following the transfer strategy of the University of Bremen
Independent, research-based teaching of courses (also in English) in the Bachelor’s and Master’s programs in Information Systems
Development of disciplinary and interdisciplinary innovative teaching concepts, e.g. with a view to methods training in business informatics in cooperation with the professorships for Information Management and for Digitization of Public Services
Participation in academic self-administration.

Requirements

High-level university degree (usually in computer science with a focus on application fields)
Recent doctoral degree with above-average results in computer science/information systems, with a focus (usually indicated by the topic of the doctoral thesis) on data science and/or methods of artificial intelligence
(First) experience in teaching subject-specific courses (also in English);
Language competence (English at least level C1; German: by the time of the evaluation, applicants should also be able to give lectures or seminars in German);
Confident command of digital media and forms of presentation in teaching.

Further are desirable:

Interest in contributing to the research focus of Department 3 within the Focus Area Minds, Media, Machines
Experience in course design or program module development

General hints

The University of Bremen aims to increase the proportion of women in the scientific field. It has received several awards in programs to promote gender equality and is certified as a family-friendly university. Female scientists are strongly encouraged to apply. Applications from persons with a migration background as well as international applications are expressly welcomed. Severely handicapped applicants will be given priority if they have essentially the same professional and personal aptitude.

Questions regarding the job advertisement will be answered with pleasure by Prof. A. Breiter, abreiteruni-bremen.de.

Applications with the usual documents (letter of motivation, curriculum vitae with list of publications, teaching and research concept, copies of academic degrees, etc.) should be sent, quoting the reference number LK283/22, by July 22th, 2022 to:

Universität Bremen

Fachbereich 03 Mathematik und Informatik

Fachbereichsverwaltung, z.Hd. W. Giesenhagen

Bibliothekstr. 5

28359 Bremen

or electronically as a PDF file: LK283fb3.uni-bremen.de
Updated by: Alexandra Gutherz