W2 Professorship for Machine Learning for Dynamical Systems

The Technische Hochschule Würzburg-Schweinfurt (THWS) is one of the largestTechnical University of Applied Sciences Würzburg-Schweinfurt (THWS) practice-oriented higher education institutions in Bavaria. With focus areas ranging from technology over social sciences and economics to design and languages, THWS covers a wide subject spectrum. We support around 9,200 students in more than 50 degree programmes on their educational path. We tackle the challenges to all of society, like the energy system transformation, or the climate crisis, with innovative and international degree programme offers. We were pioneers in the conception of bilingual degree programmes (TWIN Programmes), in establishing the first undergraduate degree in Hydrogen Technology, and the software-centred degree programme in Robotics. Digitisation is also an important focus area of our University. Within the frame of the Hightech Agenda Bavaria, the Free State of Bavaria is currently investing substantially in the further development of our University as part of the Bavarian AI-network. Thus, at the THWS location in Würzburg, a Center for Strong Artificial Intelligence, and at the location in Schweinfurt, a Center for Robotics are created. More than 240 THWS professors are not only passionate about teaching, but also about conducting applied research in cooperation with companies, institutions, and social institutions from the region. Successful knowledge transfer in industry and society characterises our professors as well as interdisciplinary collaboration across ten faculties and eight research institutions. Around 640 scientific, technical and administrative employees support them in their endeavours. At our locations in Main Franconia, town meets country, and culture meets nature offering diverse leisure opportunities. To promote the reconciliation of family and working life, THWS currently participates in the audit familiengerechte hochschule (family-friendly higher education institution). Continuous growth, innovative teaching, and pioneering research characterise the atmosphere at THWS. In addition to teaching, the scientist shall for an initial period of five years initiate and carry out application-oriented research and development projects in the CAIRO (up to nine semester hours per week, which correspond to as much as 50 percent of the current teaching load) as well as promote networking of users and industries, and implement practice-oriented projects – also and especially in the course of teaching. The position is permanent. Individual research and development performance are expected from the scientist. A five-year target agreement is concluded on research and development performance. THWS strives to extend these periodically. The following position is to be filled at the Faculty of Computer Science and Business Information Systems:

Professorship for Machine Learning for Dynamical Systems

Reference number: 61.1.560
(Salary grade W 2) The comprehensive job vacancy as well as the general prerequisites for employment are available on our Online Portal. Only persons under the age of 53 can become civil servants, all other persons will become public employees under private law. The Free State of Bavaria not only offers ideal working conditions and excellent quality of life, but also special, state-specific salary regulations. Fulfilling tasks, time flexibility and autonomy promote the balance between work, family and leisure time. Committed colleagues form a highly motivated team and will support you right from the start. THWS promotes professional equality for women and strives to significantly increase the ratio of women especially in academic staff. Applications from female candidates are particularly welcome.
In case of essentially identical aptitude, skills and accomplishments, applicants with disabilities will be employed preferably. This professorship generally is a full-time position. THWS promotes reconciliation of work and family life by offering candidates the opportunity to temporarily fill this position part-time (for a period of 1 to 2 years). After this period, employment can be continued in part-time in accordance with legal provisions.