Job
- Level
- Lead
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 93.986 € Gross/Year
- Location
- Graz
- Working Model
- Onsite
Job Summary
In this role, you will research natural language processing methods, develop interdisciplinary research projects, and promote the field in teaching and practice at the University of Graz.
Your role in the team
- The professorship focuses on the fundamentals and applications of natural language processing (NLP) in an interdisciplinary context at a comprehensive university.
- A central factor of digitalization is the continuously growing volume of data, which is often unstructured, for example in the form of natural language.
- This involves fundamental methodological questions of natural language processing, which enable a variety of approaches to solving tasks in the humanities, natural sciences, legal sciences, social sciences, business and economics, as well as environmental and educational sciences.
- The professorship is anchored in the IDea_Lab at the University of Graz, a recently established interdisciplinary center for fundamental and application-driven research in the fields of Machine Learning, Data Science, and Digital Transformation.
- The professorship maintains close relationships with Computational Social Science, Data Science, Applied Mathematics, as well as with the various departments of the university.
- The position is explicitly intended to strengthen the methodological expertise of the IDea_Lab, promote interdisciplinary research in the field of Natural Language Processing methods across the University of Graz, and represent this area in teaching.
- The appointed professor is expected to have a strong intrinsic interest in building robust interdisciplinary research networks within the University of Graz.
- Building on the faculty-wide IDea_Lab, the field is to be further consolidated through innovative interdisciplinary concepts and research approaches in collaboration with the professorships already based at the IDea_Lab, as well as research partners in the individual faculties and institutes.
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Our expectations of you
Qualifications
- A domestic higher education qualification completed in accordance with one of the uses or an equivalent foreign higher education qualification (Doctorate or PhD).
- Habilitation or an equivalent qualification in Computer Science, Computational Linguistics, or related disciplines.
- Excellent academic qualification in research and teaching for the subject area and profile of the professorship (in relation to the academic age and interruptions in employment due to caregiving responsibilities).
- Successful acquisition of subject-specific projects; in particular, competitive third-party funding.
- Competence in higher education didactics including the use of digital media.
- Expertise in mentoring and guiding early-career researchers.
- Competence in gender mainstreaming and diversity management.
- Excellent English skills and willingness to learn German.
- Outstanding scientific achievements in both the interdisciplinary application and the development of methods in the field of Natural Language Processing.
Experience
- International experience during academic career.
- Management and leadership experience.
- Experience and competence in interdisciplinary collaboration, demonstrated through quality-assured publications in the respective application areas.
- Experience and/or willingness to engage in interdisciplinary teaching.
- Experience in the field of science communication (desirable).
- Experience in the field of Open Science (desirable).
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What we offer
- We offer you a varied and autonomous role.
- You can expect a pleasant working environment, flexible working hours, and numerous opportunities for further training and development.
- The collective agreement minimum salary according to the specified classification is €93,986.20 gross per year.
- Any potential higher salary can be negotiated.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Karl-Franzens-Universität Graz
Graz
The Karl-Franzens University in Graz, founded in 1585, is Austria's second oldest university and one of the largest in the country. Numerous outstanding scholars have taught and researched here, including six Nobel Prize winners.
Description
- Founding year
- 1585
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
Professorship for Data Analysis
- Salary
- from 93.986 € Gross/YearNet salary converted from the gross salary in the job ad.from 59.207 € net/Year
- Location
- Graz
- Working Model
- Onsite
- Diversity
- Open for all genders
