Dear All, below is a current call for applications for a newly established department at our university. We are looking forward to receiving great applications! Best wishes, Georg Glasze Prof. Dr. Georg Glasze Lehrstuhl für Geographie (Kulturgeographie) Institut für Geographie Wetterkreuz 15 FAU Erlangen-Nürnberg D-91058 Erlangen-Tennenlohe Tel. +49 9131 85-22633 (Frau Donner) www.geography.nat.fau.eu/research/ag-glasze/<http://www.geography.nat.fau.eu/research/ag-glasze/> dhssNeu: Handbuch Diskurs und Raum - 3. erweiterte Auflage: Online-Buchvorstellung am Mi. 28.04.<https://www.geographie.nat.fau.de/online-vorstellung-und-podiumsdiskussion-zur-neuauflage-handbuch-diskurs-und-raum-28-04-2021/> Within the context of the High-Tech Agenda Bavaria, the Faculty of Humanities, Social Sciences, and Theology at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for 6 Open Topic Full Professorships (W3) for Digital Humanities and Digital Social Studies at the newly established Department of Digital Humanities and Social Studies. The professorships are full-time and permanent positions to be filled by the earliest possible starting date. We seek to appoint leading experts with an internationally visible research and teaching profile who have a creative mindset and expertise in the following areas of digital humanities and social studies: * Research-oriented data and knowledge management * Computing images and objects in cultural heritage * Computing text and language * Analysing geo-social data * Human computer interaction * Governing data economies The newly appointed professors will teach and conduct research into the development of innovative digital methods in and for the digital humanities, cultural studies and social studies, and the analysis of digital transformation. They will focus in particular on developing concepts for dealing with structurally complex units of data with no clear semiotic features at all stages of the data lifecycle; on enabling computer-assisted analysis of images and objects and reflection on visual culture (e.g. critical machine vision, blurring); on developing interpretable AI processes for text analysis such as automated and semi-automated processes for hermeneutic text interpretation and on connecting neural models to formal means of knowledge representation; on using new data sources such as big social and geosocial data, social media data or real-time data to analyse processes and structures in society, and on investigating the transformation of relationships in society as a result of these new readability trends; on the socially responsible design of user interfaces and interfaces during the system development process in consideration of the fact that usability of systems has a decisive influence on whether and how successfully people participate in partial systems in society and in recognition of the fact that systems influence people's behaviour; on critical analysis of political regulation and design of data economies and datafied societies. The professorships will be based in a newly established department. The department focuses on the opportunities and challenges of datafication and algorithmisation of social and cultural phenomena (objects and immaterial concepts) as demonstrated by methods for analysing and processing data and data-based artefacts and in the assessment of the consequences in the real world of 'culture and society' and in academia in the sense of an 'epistemological transformation'. It links expertise in algorithms and other technical aspects with epistemological, historical, socio-critical and normative-ethical expertise in the field of the humanities, social sciences and cultural studies. FAU seeks to appoint outstanding, internationally visible researchers (publications, networks) who strive to maintain close links with the established disciplines in the fields of the humanities, cultural sciences and social sciences but who also take an interdisciplinary approach, continuing and expanding the already close collaboration with the Faculty of Engineering (Department of Computer Science) and the HTA Department of Data Science located in the Faculty of Sciences. Candidates are expected to have successfully raised third-party funding, preferably within the context of collaborative interdisciplinary projects. The Department's strength in research should be reflected in the continued development of the degree programmes taught partly in English (Bachelor/Master of Arts in Digital Humanities) and in explicitly research-oriented teaching as well as in changes to doctoral degrees. The innovative potential of the department extends to the establishment of open structures of governance involving all status groups in the Department Board, the dynamic distribution of teaching capacities, a pool of specialised administrative capacities and a needs-oriented approach to allocating resources, moving away from the traditional structure of a Chair. The successful candidates will be expected to participate in shaping the Department's profile as well as being involved in shaping and developing the new transfer and support-oriented Competence Unit Research Data/Information (CU-ReDI). The professors should seize the excellent opportunities offered by our close interdisciplinary links to launch highly competitive collaborative projects. Successful candidates show an excellent academic track record in research and teaching at the highest international standards. You have substantial research experience abroad and/or international cooperations as well as experience in managing research projects and in raising third-party funding. A university degree and an outstanding doctoral degree as well as a passion for education and pertinent teaching experience are prerequisites. Candidates who are able and willing to teach in both English and German are desired. The position also requires additional postdoctoral qualifications. These should be in the form of a habilitation (postdoctoral thesis) or equivalent academic qualifications. You may also have acquired these necessary qualifications in a non-university context or through a junior faculty position (for example as W1 Professor or Assistant Professor). FAU expects applicants to demonstrate academic leadership, engage in early career development and to drive FAU's strategic agenda. FAU pursues a policy of intense student mentoring and therefore expects its teaching staff to be present during lecture periods. FAU offers an outstandingly productive research environment as well as a passionate and multi-disciplinary scholarly community within a vibrant institutional network. In its pursuit of academic excellence, FAU is committed to equality of opportunity and to a proactive and inclusive approach, which supports and encourages all under-represented groups, promotes an inclusive culture and values diversity. FAU is a family-friendly employer and is also responsive to the needs of dual career couples. Please submit your complete application documents (CV, list of publications, list of lectures and courses taught, copies of certificates and degrees, list of third-party funding) online at https://berufungen.fau.de by 23. May 2021, addressed to the Dean of the Faculty of Humanities, Social Science, and Theology. Please contact phil-berufungen@fau.de<mailto:phil-berufungen@fau.de> with any questions.