Professor in Smart Farming - Artificial Intelligence in Crop Production (m/f/d)

Applied Sciences for Life – this claim describes the unique range of subjects at Weihen-stephan-Triesdorf University of Applied Sciences (HSWT), all of which clearly and consistently focus on life sciences. We are one of the leading universities of applied life sciences and green technologies. We prepare our graduates to become responsible and highly qualified professionals and executives who are well prepared for a successful career entry. The scientists at HSWT carry out teaching and research at three different campus locations (Freising, Triesdorf, Straubing) focusing on issues of high social relevance, such as sustainable land use, climate change, biodiversity, food technology, or renewable energies. Our campus Weihenstephan in Freising offers multiple opportunities for scientific networking with other teaching and research institutions, all of which are nationally and internationally recognized. Weihenstephan’s geographical proximity to the city of Munich and the excellent transport connections are additional assets. The Department of Sustainable Agriculture and Energy Systems, Campus Weihenstephan (Freising), invites applications for the position of a

Professor in “Smart Farming –
Artificial Intelligence in Crop Production” (salary group W2, tenured position)

expected to start in the summer semester 2023 or commencing as soon as possible.

Responsibilities in Teaching and Research:

Weihenstephan-Triesdorf University of Applied Sciences seeks to appoint a candidate for a professorship, which involves a high proportion of research. In practice, this means that the position entails a reduced teaching load, which may amount to a maximum of 50 percent of regular teaching duties. The reduced teaching load is initially limited to a period of five years with the option of a further extension period. For the duration of the five-year period in which the reduced teaching load will be effective, the incumbent will be supported by a research assistant to be employed on full-time basis (1.0 position). Responsibilities in Research:
The professorship will gather information and knowledge through the analysis of high spatial and temporal resolution data by means of artificial intelligence methods. The incumbent will use this information in particular to assess the supply of water and nutrients as well as the stress level of cultivated crops. The information retrieved will be used for the further development of complex action and control parameters, in particular for technologies of crop production (decision support systems). These responsibilities of the professorship necessitate intensive networking between the research activities of the professorship and the specialty areas of the colleagues who are employed in the various departments of Weihenstephan Triesdorf University of Applied Sciences. In addition, cooperation with partners from other research institutions and the business sector is required. Responsibilities in Teaching:
The professorship shall offer courses and teach basic information and methods in data management and data analysis to students across the various study programs of our university. The incumbent shall develop and offer German and English-language modules for both the undergraduate and postgraduate level. The university expects the successful candidate to play an active role in the further development of applied research. Responsibilities of the professorship include the supervision of internships, project papers and theses, teaching courses in English language as well as participation in academic self-administration. We offer an interesting work environment at the interface of applied research and practical education, which includes the opportunity to further shape and advance the thematic focus of the professorship according to your own ideas.

Your Profile:

Weihenstephan-Triesdorf University of Applied Sciences is looking for a candidate who, at best, holds a university degree in agricultural sciences, in computer science, or in a related field. We expect applicants to have relevant scientific expertise and professional experience in the field of artificial intelligence in connection to data analysis as well as knowledge and experience in crop production. In addition, successful applicants have experience in the acquisition of third-party funding, in the management of interdisciplinary projects, and in the targeted coordination of working groups with different thematic priorities.

Requirements:

1. completed first university degree
2. pedagogical aptitude
3. particular ability for scientific and scholarly work as proven by a doctoral degree or comparable academic qualification (in German: “Gutachten über promotionsadäquate Leistungen”)
4. furthermore, we require expertise in the application or development of scientific findings and methods obtained during a period of at least five years of professional practice after graduation from university; of these, at least three years must be in a field outside university; professional experience outside university might be recognized if the candidate has spent a significant part of the position working in a cooperation between university and non-university institutions for a minimum of five years

HSWT – Your Employer:

We assist newly appointed professors in the management of teaching and research. Our services include support in the organization of flexible working conditions, advanced training in higher education didactics as well as incentive systems for interdisciplinary and international research. Detailed information is available on our employer website at https://www.hswt.de/hochschule/gender-und-diversity/gender-gleichstellung/professorin-werden.html#c119983.

Information for Applicants:

The HSWT pursues the strategic goal of consistently increasing the proportion of women in teaching and applied research. We therefore explicitly invite female scholars and experts to apply at our university. Our website with in-depth information on how to become a professor at HSWT, which specifically targets potential female applicants, may be accessed via the following link:
https://www.hswt.de/hochschule/gender-und-diversity/gender-gleichstellung/professorin-werden.html. We look forward to applications submitted by severely disabled persons. Severely disabled persons with essentially the same aptitude, professional ability, and qualifications will receive preference. The HSWT regards itself as a family-friendly employer. Weihenstephan-Triesdorf University of Applied Sciences promotes equal opportunities and diversity among its students and employees. Applications from abroad are explicitly welcome. The willingness and ability to teach in German from the beginning of employment is expected from all applicants. The successful candidate may be eligible for civil servant status up to the age of 52. Please submit your complete application materials (including a letter of application, an academic CV with accurate to the day information for each employment contract, copies of transcripts, proof of professional work experience and documentation of your research activities) by March 26, 2023. We request applicants to submit their application through our online application management system available at www.hswt.de/stellenangebote.html. For further information, please contact:
Prof. Dr. Hauke Heuwinkel
Phone: +49 (0) 8161 71-6419
hauke.heuwinkel@hswt.de