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Full Professor or Tenure Track Assistant Professor of Social Work (50%)

Closing Date
WorkplaceNeuchâtel, Av. du 1er-Mars 26, North Romandie, Switzerland
Occupation rate
Job Start1st August 2024 - or upon agreement

The University of Neuchâtel (UniNE) is an internationally recognized institution as well as a university on a human scale. With almost 4300 students from Switzerland and beyond (nearly 20% of students from abroad), it provides high quality teaching and support. Bachelor and Master degrees are compatible with m ost European universities and are in line with society’s expectations in a variety of innovative and cutting-edge fields.
Halfway between Geneva and Zürich, in the middle of Europ, the UniNE is a perfect place for those who wish to study or to undertake high-level research in a magnificient environment, near lake and mountains. In Neuchâtel, students’ and researchers’ activities take place throughout the city, in various nearby places. This ensures close contact and mutual help, in particular between beginners and advanced students.

Your Tasks

The successfull candidate will teach quantitative research methods to doctoral students in Social Work (some of the courses are open to master students) and will co-manage the Transdisciplinary Institute of Social Work (ITTS) located in the Faculty of Economics and Business (FSE). In collaboration with her/his ITTS colleague, she/he will supervise the doctoral students in Social Work. She/he will ensure that the ITTS is well anchored within the FSE in a perspective of interdisciplinary compentencies and exchange between Social Work, Economics and Management.
She/he demonstrates a strong interest in Social Work as study object (with a capacity to analyse social problems and research experience in the field), in relation with Economics or Management. She/he offers courses at the faculty, works in cooperation with the other faculties, other disciplines and other institutions (in particular Universities of Applied Sciences). In terms of research, she/he develops empirical research projects on issues related to Social Work (e.g. social policies, public management, network governance or organisational and human resources aspects of social work) and projects oriented towards application in collaboration with non-profit organisations, private companies or te public sector.


The candidate must hold a PhD in Economics, Management, or in Social Work. She/he demonstrates strong competencies in research supervision and teaching. She/he has extensive experience in empirical methods and competence in the evaluation, analysis, implementation or management of social work. She/he is able to teach quantitative research methods (experimental, modelling, field studies, etc.) with a marked interest in the development of innovative methods. She/he must have a track record of high-level international scientific publications either in Social Work with a strong link to Economics/Management or in Economics/Management with a strong link to Social Work. Courses are taught in English and French. French is the official administrative language of the University. Non-French speakers are expected to acquire working knowledge of French within a two-year period.

Contact and Address

Applications should be uploaded at www.unine.ch/candis (ref. FSE-Travsocial2) in the form of a single PDF file, including a letter of motivation, a CV documenting full teaching and research experience, a list of publications, copies of diplomas and a list of experts able to assess th candidate’s competence (with at least three names). The candidate is also invited to present a statement (three pages max.) of teaching and research interests, her/his scientific approach to the domain, as well as projects that she/he intends to undertake in Neuchâtel.

Information: For further information, please contact the Head of the Hiring Committee, Prof. Barbara Waldis (barbara.waldisunine.ch) or the Dean (doyen.secounine.ch) and visit ou website at www.unine.ch/seco.

The University of Neuchâtel is committed to provide non-discriminatory working conditions


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In your application, please refer to myScience.de and reference JobID 187308.