Professorship (m/w/d) for Applied Data Science

At the Jade Hochschule in Wilhelmshaven, Oldenburg and Elsfleth, around 6,400 people study with more than 200 professors. Teaching and research are characterized by innovative approaches, cooperative cooperation and an applied attitude. In all areas, the university promotes competence and diversity. Due to the outstanding importance of artificial intelligence, the Jade Hochschule develops an identity as an AI university by 2030 and implements this identity in all areas of work.

Applied Data Science Reference number W2 | The professorship is at the Jade Hochschule Wilhelmshaven/ Oldenburg/ Elsfleth in the Department of Civil Engineering Geoinformation Health Technology in the Department of Technology and Health for People at the Oldenburg Campus at the earliest possible time.

Design of teaching in the Bachelor and Master's degree courses in the field of denomination active, independent acquisition and implementation of third-party projects in the areas of denomination Completion, submission and cooperation of interdisciplinary projects To maintain existing and establish new cooperation with universities, research institutions, authorities and companies, in particular from the regional environment Development and development of digital learning formats and their integration into the teaching of presence Development of further English-speaking courses/modules in the Applied Data Science course Participation in the further development of the study programme of the department, international cooperation and in academic self-government

The holder of the job represents the topic of Applied Data Science in the study programmes of the department. She/He is a major contributor to the Institute of Technical Assistance Systems and is a major contributor to the use and development of the corresponding laboratory capacity. Required conditions: The recruitment requirements for professors are governed by § 25 Niedersächsisches Hochschulesgesetz (NHG): a completed university degree by practical experience confirmed pedagogical-didactic suitability the special ability to intensify independent scientific work, which is usually demonstrated by an above-average doctorate special achievements in the application or development of scientific knowledge and methods in at least five years of professional practice, of which at least three years have been carried out outside the higher education sector A degree in a degree programme with relevant information technology components, ideally in data science, data mining or computer science, is assumed. You have deeper knowledge and practical experience in the field of applied data science and are confident in the English language. You are ideally brought with: in-depth knowledge of the collection and transmission of data and the use of approaches and methods for evaluating the information contained therein Security in the communication of teaching contents in the field of data science Experiences with artificial intelligence for the analysis of different data volumes and data types, e.g. with methods of pattern recognition or machine learning, deep learning (concepts, implementation, mathematical foundations) well-founded knowledge in the automation of intelligent behavior, in particular with the modules explainability and analysis/evaluation of data in real time Management competency, experience in academic self-government, team skills, reflected personal authenticity and safe occurrence in contact with different target groups

Teaching in small groups a research area with a young and motivated college an indefinite and secure workplace with the possibility of beaming in the presence of personal conditions Promoting the reconciliation of family and profession, the job is part-time a new-vocational programme (including team coaching) as a support for entry, in particular for networking within the university and for didactic further education We are actively engaged in equality and human diversity in science and pursue the strategic goal of significantly increasing the proportion of women in research and teaching. We look forward to applying for qualified women. The Office of Equality Representatives, Tel.: +49 441 7708‐3340, provides further information on request. Applications for severely disabled persons or Equal workers are preferentially taken into account in the case of otherwise equal suitability and qualification if the other conditions of employment or collective bargaining are met and if there are no grounds for greater legal weight in the person of the other applicants. The professorship is promoted as an AI professorship by the Ministry of Science and Culture of Lower Saxony and the Volkswagen Foundation in the programme for future Lower Saxony. JOBV1_EN