Job
- Level
- Senior
- Location
- Gießen
- Working Model
- Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will lead research projects on Data Science and applied AI in business and design lectures in German and English for undergraduate and graduate students.
Your role in the team
- Your task is to represent the field of Data Science and Applied AI in Business in research and teaching in an application-oriented manner.
- The professorship is anchored in the field of Business Administration.
- Your teaching commitment is 8 semester hours.
- Teaching languages are German and English.
- The teaching obligation includes conducting courses in the Bachelor's and Master's programs of the department as well as training doctoral candidates (m/f/d).
- You will also participate in the further development of the study program and be involved in interdisciplinary degree programs, particularly in the planned Business Informatics program in cooperation with the Department of Mathematics and Computer Science, Physics, and Geography at JLU.
- In this context, you will be primarily responsible for providing training offerings in the field of core Business Informatics.
- In addition to fulfilling teaching obligations and supervising theses, internships, and final projects, your responsibilities include research, knowledge transfer, participation in academic self-governance, and the promotion of early-career researchers.
- Your research in Data Science and Applied AI is internationally visible and competitive.
- She focuses on behavioral science questions in economic and social contexts.
- In doing so, you employ modern methods from the fields of Machine Learning, Natural Language Processing, and causal modeling.
- A particular focus of your research activities is on the analysis of unstructured data, especially text, image, and video data.
- Thematically, current challenges of digital societies should be addressed, such as the analysis of digital publics and platforms in the context of social media, as well as their impacts on the economy and society.
- Further successes in independently securing (and leading) third-party funded projects, preferably with the DFG or the BMFTR, are expected.
- Within this framework, you are responsible for initiating and conducting (third-party funded) research projects, also in cooperation with other professorships within the department or with other faculties of JLU.
- In addition, you will participate in the Gießen Graduate Center for Social, Economic, and Legal Sciences (GGS).
- The professorship should contribute to the internationalization of the faculty and JLU by expanding international collaborations, participating in international research projects, and integrating international perspectives into teaching.
- An integration of gender and diversity aspects in research and teaching is desired.
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Our expectations of you
Education
- A completed university degree, an outstanding, thematically relevant doctorate, and additional scientific achievements (demonstrated e.g. through habilitation or relevant publications with peer review in the research field outlined above) in the area of Data Science and Applied AI in Business are required.
Qualifications
- Success in independently securing (and managing) third-party funded projects (preferably DFG, BMFTR) as well as pedagogical aptitude are also required.
- Your application must include proof of successfully acquired and managed third-party funding projects, indicating the funding institutions, project durations, total funding amounts, and your own contributions.
- Willingness and ability to conduct training sessions in both German and English are assumed.
- You also possess an internationally visible research profile, particularly documented through high-ranking publications in nationally and internationally recognized journals, as well as through participation in (inter)national conferences.
- Your clearly identifiable interdisciplinary research profile at the intersection of economics and computer science is documented through relevant publications in both fields.
- The compatibility of your previous research activities with the existing research initiatives of the department as well as with the ZAD is also a prerequisite.
- Exceeding the basic age limit of 50 years requires a special official interest for the establishment of a civil service relationship according to § 66 paragraph 3 sentence 2 and 3 HessHG in conjunction with § 11 Hessian Career Regulations (HLVO).
Experience
- You have relevant teaching experience, preferably demonstrated through positive teaching evaluations.
- In addition, proven research experience abroad in non-German-speaking countries is required.
- You also have experience in knowledge transfer, particularly in the execution of transfer projects, the development and deployment of open-source software, as well as in promoting start-ups and spin-offs.
- Experience in presenting research findings in national and international media is also expected.
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What we offer
- JLU welcomes qualified applications regardless of biological and social gender (m/f/d), disability, nationality, ethnic and social origin, religion, worldview, age, as well as sexual orientation and identity.
- The JLU aims to increase the proportion of women in accordance with the Women's Advancement Plan; therefore, we strongly encourage qualified women to apply.
- JLU is certified as a family-friendly university.
- Applications from severely disabled persons will be given preference if equally qualified.
- Please note the information in our fact sheet regarding the requirements for employment and the necessary application documents.
- In addition, it is mandatory to fill out a questionnaire.
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Benefits
Work-Life-Integration
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About Your Employer
Justus-Liebig-Universität Giessen
Exzellente Forschung, hervorragende Lehre, internationale Strahlkraft: Die Justus-Liebig-Universität Gießen hat viel zu bieten. Mit über 28.000 Studierenden ist die JLU die zweitgrößte Hochschule in Hessen, sie prägt die Region Mittelhessen entscheidend mit und profitiert von der Nähe zur Metropolregion Frankfurt/Rhein-Main.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
Professorship for Data Science and Applied AI in Business
- Location
- Gießen
- Working Model
- Onsite
- Diversity
- Open for all genders
