Applied Sciences for Life – this claim describes the unique range of subjects at Weihenstephan-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 in Triesdorf is located approximately 60 kilometers southwest of Nuremberg. Numerous cooperations with the “Bildungszentrum Triesdorf”, an educational center with institutions focusing on agriculture, energy, nutrition, food, and environment, result in valuable synergies for university education and research with a close relation to practical applications. The Department of Agriculture, Food, and Nutrition, Campus Triesdorf, invites applications for the position of a

Professorship in “Data Science” (salary group W2, tenured position)

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

Responsibilities in Teaching and Research:

We seek 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 of 18 hours per week during the lecture period. The reduced teaching load is initially limited to a period of five years with the option of a further extension period. Our university expects the successful applicant to obtain third-party funding for research projects in the six figure range, including the acquisition of research assistant positions and positions for the development of transregional and, at best, international networks with high visibility. The professorship will cover the field of life sciences in research and teaching. Possible research subjects may include agriculture, horticulture, forestry, agricultural engineering, foodstuff, beverage technology, biotechnology, nutrition, water technology, regenerative energies as well as all aspects of environmental protection and landscape planning.
Within the aforementioned thematic areas, the incumbent will focus on the collection of sensor data, on reading information from existing local and server-based data sources, and on the filtering, transformation as well as structured and unstructured storage of data. As part of the responsibilities in teaching and research, the professorship will furthermore cover the modeling of big data and their analysis by means of methods of multivariate statistics and machine learning. This includes deriving information, recommendations for decisions, and control parameters for process automation.
In addition to its own projects, the professorship shall work on interdisciplinary research questions in cooperation with colleagues from other faculties as well as provide support for the advanced modeling and processing of data. Weihenstephan-Triesdorf University of Applied Sciences expects the incumbent to play an active role in the further development of applied research. Responsibilities of the professorship include the supervision of internship classes, project studies and theses, teaching courses in English language as well as contributing to academic self-administration. The ability to teach specialized topics in adjacent fields of research is highly desired. 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 an individual with extensive knowledge and competencies in the fields of data management as well as data processing for the purpose of deriving information and practical recommendations. We expect the successful applicant to have expertise in the modeling and analysis of big and complex data sets based on multivariate statistics and machine learning (e.g., PLSR, SVM, KNN). In addition, you have gained experience in using programming languages, such as Python and/or Java, and in applying commonly used database management systems (PostgreSQL, MySQL, SQLite, MongoDB, etc.). You have extensive knowledge of common file formats (XML, JSON, WKT, etc.), an interest in biological systems and ideally have professional experience in the field of life sciences. We are looking for a candidate with research experience who enjoys teaching. We expect you to have expertise in the acquisition of third-party funding as well as in the coordination and/or management of large research projects. In order to advance the university-wide cooperation regarding the further development of the Competence Centre for Digital Agriculture (KoDA) at our campus locations in Triesdorf and Weihenstephan, we hope to attract a colleague with a collaborative working style who is flexible and demonstrates superior cooperation skills.

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

Applications from abroad are explicitly welcome. The willingness and ability to teach in German from the beginning of employment is expected from all applicants.

Die 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. 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 July 10, 2022 via the online application form offered below
(button “Auf diese Stelle bewerben”)
For further information, please contact:
Prof. Dr. Klaus Eckhardt
+49 (0) 9826 654-207
klaus.eckhardt@hswt.de