Natural Language Processing, Künstliche Intelligenz, Machine Learning Junior researcher* (m/f/d) in the field of artificial intelligence to participate in the tandem program FH-Professor*in. We offer 84 bachelor's and master's degree programs at our campuses in Hagen, Iserlohn, Meschede, Soest and Lüdenscheid - also part-time and together with educational partners at other locations. With approximately 11,000 students, we are one of the largest universities of applied sciences in NRW. Excellent teaching in a personal working atmosphere and manageable groups creates good career prospects for our graduates. Research and development are important to us and are regionally, nationally and internationally oriented. We enjoy a high reputation in teaching and research. The University of Applied Sciences South Westphalia is looking for a*n at short notice to work at the Meschede and Iserlohn campuses. Participant*in (m/f/d) in the Tandem Program. "FH-Professor*in become!" in the field of artificial intelligence. Within the framework of the tandem program "FH-Professor*in werden!" a combined employment takes place half as a teacher for special tasks at the University of Applied Sciences Südwestfalen and half at a cooperation partner from the practice. The program enables young scientists (m/f/d) who are interested in a professorship at a university of applied sciences to gain the necessary practical work experience outside the university sector as well as teaching and research experience in the context of a university of applied sciences. For this reason, the program is aimed in particular at young scientists (m/f/d) who have no or only limited professional experience outside of academia. The employment with the cooperation partner from practice takes place at the company TRILUX Digital Solutions GmbH at the Dortmund location. Tasks: Teaching to the extent of 6 to 8 semester hours per week (SWS) in coordination with the responsible professorship at the university. Collaboration in the creation of blended learning teaching materials. Supervision of project, seminar and final theses. responsible cooperation in research and development projects of the cooperating company. Application of various machine learning methods, including a focus on Natural Language Processing. Development and production deployment (MLOps) of machine learning models. Interdisciplinary collaboration with other departments to develop application fields of artificial intelligence in sales, production and development. Prerequisites: Successfully completed university studies (master's degree or university diploma) and doctorate completed with excellent results. relevant expertise in the field mentioned above initial professional experience in higher education interest in a later activity as a professor*in (m/f/d) at a university of applied sciences independent working style, ability to work in a team and enjoy working with students Contract Terms: The full-time employment relationship is established in accordance with the collective agreement for the public service of the Länder (TV-L) and is to be filled depending on the existence of personal requirements and depending on the individual promotion temporary for a maximum period of three years. Remuneration is based on pay group 13 TV-L. Working hours can be agreed between full-time and part-time (75%). The working hours and the place of work can be flexibly arranged within the framework of an existing model. Participation in the program does not create an entitlement to an appointment. Application: For information, please contact Prof. Dr. Buchwitz (Tel.: 0291 / 9910-4520) and Prof. Dr. Gawron (Tel.: 02371 / 566-1565). Applications from women are expressly desired and will be given preferential consideration in accordance with the NRW State Equal Opportunities Act in the case of equal suitability, qualifications and professional performance, provided that reasons relating to the person of a competitor do not prevail. Applications from suitable severely disabled persons and persons of equal status within the meaning of Section 2 (3) Part 1 of the German Social Code IX are also welcome. Please send your application by 04.12.2023, quoting job offer no. 69/2023, by e-mail to www.fh-swf.de/cms/stellen/.
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