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Full Professorship (W3) in Computational Linguistics
FernUniversität in Hagen
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 (D²L²), a recently implemented research unit of the FernUniversität which is currently in the process of expanding. D²L² 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 D²L² 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, natural-language generation, corpus linguistics, or knowledge extraction as well as data analytics and machine
learning are highly appreciated.
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.
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.
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 email@example.com.
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.