Stellenbezeichnung: Professor (m/w/x) W2-Professorship for Machine Learning for Dynamical Systems
Firma: Technische Hochschule Wurzburg-Schweinfurt
Arbeitsort / Location: Würzburg, Bayern
Job Beschreibung: The Technical University of Applied Sciences Würzburg-Schweinfurt (THWS) is one of the largest practice-oriented higher education institutions in Bavaria. With focus areas ranging from technology over social sciences and economics to design and languages, THWS coversa 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 (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.
We are currently looking to fill the following position:
Faculty of Computer Science and Business Information Systems
W2-Professorship for Machine Learning for Dynamical Systems
Application reference: 08.1.560
The position is to be filled as soon as possible; your place of employment will be our location in Würzburg.
After successful application, you will join the Faculty and the Center for Artificial Intelligence and Robotics (CAIRO), where you will build a strong and vibrant research group, and contribute to research and knowledge transfer activities of the Center. The research focus shall be on the development of machine learning and deep learning techniques for dynamical system analysis and modelling based on observed data. This includes but is not limited to time series analysis and forecasting, signal processing, physics informed models, biological/natural systems modelling, hybrid and inverse models, and other related aspects.
You collaborate closely with colleagues of CAIRO to conduct interdisciplinary and application-oriented research transferable to various industry sectors. Possible application areas include robotics, manufacturing, automotive, energy, climate, life sciences, or finances.
The faculty places great importance on the quality of teaching in terms of both technical content and pedagogy. You actively contribute to the development of the teaching profile of the faculty.
We seek a competent researcher with a sound theoretical background and practical experience in machine learning and dynamical systems.
The willingness and ability to acquire third-party funding, to manage and contribute to research projects, and to supervise junior researchers (PhD-level) are expected. THWS also expects the willingness to manage or to contribute to a technology transfer center in a city close to Würzburg.
CAIRO is an international research centre with English as the main language. Non-German speaking candidates must, nevertheless, be willing to learn German to facilitate smooth communication with the faculty and the broader THWS community. Our University is becoming a bilingual higher education institution. Therefore, we assume that you will offer the courses in both German and English. Excellent command of English is a prerequisite.
For the professorship we also expect:
- to take on courses in the foundation modules, the additional study offers as well as related subject areas, even at other faculties, if required;
- willingness to regularly visit international universities with strategic relations to THWS;
- active participation in the further development of the faculty and the university;
- commitment in the internationalisation and self-administration of our University and participation in applied research projects and in the area of technology and knowledge transfer.
To be employed as a Professor at our University, the following conditions must be fulfilled (Article 57 (3) of the Bavarian Higher Education Personnel Act, BayHSchPG):
- an academic degree, preferably in a programme relevant for the professorship;
- pedagogical aptitude, generally demonstrated through teaching and training experience;
- outstanding research skills, usually proven by a doctoral degree;
- extraordinary accomplishments in the application or development of research results and methods in at least five years of postdoctoral professional experience; three of those five years must have been completed outside academia; employment as a trainee teacher (e. g. German Referendariat) or as academic or artistic staff in higher education (e.g. PostDoc) can only account for up to two years; in exceptional cases, when a considerable part of five years‘ work was done in close cooperation between a higher education institution and an organisation/institution outside higher education, it can be counted as work experience outside of academia.
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.
The Free State of Bavaria not only offers ideal working conditions and excellent quality of life, but also special, state-specific salary regulations.
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