The FernUniversität in Hagen is Germany’s only state distance-learning university
and with more than 75,000 students also its largest university. It conducts a
wide range of theoretical and applied research in its five faculties of Humanities
and Social Sciences, Psychology, Mathematics and Computer Science,
Economics and Business Administration, and Law, as well as in interdisciplinary
research clusters. On the basis of its blended learning model, it offers flexible,
location-independent degree and continuing education programs, making higher
education accessible to students in a variety of life situations.
The Faculty of Mathematics and Computer Science invites applications for a
Full Professor in Computational
Linguistics (salary group W3)
The permanent position is located in the faculty and affiliated with the
interdisciplinary research cluster Digitalization, Diversity, and Lifelong Learning:
Consequences for Higher Education (D
²L
²), a recently implemented research
unit of the FernUniversität which is currently in the process of expanding. D
²L
²
investigates frameworks for and consequences of digitalization in the higher
education landscape and cooperates closely with the FernUniversität´s faculties.
Current research areas include various aspects of student diversity and related
adaptive approaches to teaching and student support.
The D
²L
² research cluster cooperates with highly ranked research institutions
such as the German Research Center for Artificial Intelligence, the German
Institute for Adult Education - Leibniz Center for Lifelong Learning, the Humboldt
Universität zu Berlin and the Alexander von Humboldt Institute for Internet and
Society in Berlin.
We are now looking for an outstanding candidate with a strong background
in applications of computational linguistics within higher education. Additional
competencies in related areas including natural-language understanding, naturallanguage
generation, corpus linguistics, or knowledge extraction as well as data
analytics and machine learning are highly appreciated.
Responsibilities:
The successful candidate will be expected to contribute significantly to shaping
the cluster’s future research strategy and activities. Participation in interdisciplinary
cooperation and collaboration within the cluster will be essential.
Since the primary focus of the position is research, it comes with a correspondingly
low teaching load of 2 credit hours per semester within the bachelor’s and
master’s degree programs of the Faculty of Mathematics and Computer Science.
Qualifications:
- significant scientific achievements at high international standards including
the acquisition of substantial external funding
- fulfillment of the formal prerequisites for the position according to paragraph
36 of the Hochschulgesetz (Higher Education Act) of North Rhine-Westphalia
What we offer:
- The opportunity to conduct research in a unique environment which enables
field experiments with a large and highly diverse student body
- Well-equipped facilities and top-notch university services to support you and
your team
- An open, stimulating and interdisciplinary work environment, with a portfolio
of policies and services to support employee health and a family-friendly
working environment
Salary and benefits:
The salary and benefits of the position are according to the status of tenured civil
servants (Beamte auf Lebenszeit) in Germany, and correspond to level W3 of the
civil servant salary scale. Additional benefits include a subsidy for health care
expenses as a supplement to public or private health insurance, family allowance,
and inclusion in the state pension plan for civil servants.
Application:
Did we spark your interest? Then we look forward to receiving your application
(in English or German) with the usual documents (CV, copies of certificates and
degrees, list of publications and teaching experience) sent by mail to
Rektorin der FernUniversität in Hagen, 58084 Hagen or by email to
rektorin@fernuni-hagen.de.
The deadline for applications is 12.05.2021.
The FernUniversität in Hagen is committed to increasing the proportion of women
in research and teaching. Qualified female candidates are expressly encouraged
to apply. Women with equal qualifications, abilities and professional performance
will be given preferential consideration, unless there are compelling reasons for
preferring an outstanding male candidate. Candidates with disabilities are explicitly
encouraged to apply.