Stellenausschreibungen im Projekt THE ANSWERING MACHINE: (1) Koordinator:in (m/w/d) in Teilzeit (50%) und (2) Promotionsstelle im Bereich Computerlinguistik (65%), Universität Stuttgart

Ausschreibung 1: Koordinator:in (m/w/d) 

Im Rahmen des interdisziplinären Projekts THE ANSWERING MACHINE ist zum 01.06.2022 oder zum frühestmöglichen Zeitpunkt danach eine Stelle als
 
Koordinator:in (m/w/d) in Teilzeit (50%)
 
zu besetzen, befristet für 4 Jahre. Bei Vorliegen der Voraussetzungen ist die Vergütung bis zur Entgeltgruppe E13 TV-L möglich.
 
Das Projekt THE ANSWERING MACHINE wird gefördert durch die VolkswagenStiftung im Rahmen der Initiative „Künstliche Intelligenz — Ihre Auswirkungen auf die Gesellschaft von morgen“. Es verbindet vier wissenschaftliche Disziplinen, vertreten durch vier Projektleiter:innen an vier unterschiedlichen Hochschulen: 
  • Prof. Dr. Stefan Scherbaum, Fakultät Psychologie, Technische Universität Dresden
  • Dr. Gunter Lösel, Department Darstellende Künste und Film, Züricher Hochschule der Künste (ZHdK)


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Quelle: https://dhd-blog.org/?p=17601

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Call for Papers: Literature & Culture and/as Intelligent Systems (deadline: 29 Oct. 2021)

University of Stuttgart Digital Workshop

16–17 December 2021

Confirmed Keynote Address: Dr. James Smithies, Director of King’s Digital Lab, King’s College London

Research on ‘intelligent systems’ broadly impacts the everyday lives of citizens worldwide, from self-driving cars, facial recognition, and ‘intelligent’ robots, to algorithms that create personalized advertisements that influence consumer choice. The societal, political, cultural, and ethical impacts of advances in this field have become matters of concern – and have also shaped literary and cultural production. Especially in recent years, literary texts that explore various aspects of intelligent systems have been thriving: novels such as Ian McEwan’s Machines Like Me (2019), Kazuo Ishiguro’s Klara and the Sun (2021), and Mark Wheaton’s Emily Eternal (2019) have drawn public interest and have put a new focus on the ‘knowledge of literature’ in that these narratives not only reflect upon but often also engage in, re-creating (and advancing) intelligent systems on the level of the story world. In effect, literary texts are both shaped by and actively shaping their cultural contexts of production and reception. With regard to the impact of various agents and environments on the design of a narrative – the text properties considered typical for a particular literary genre, as well as the robustness of specific genres due to their ability to adapt to changing requirements across different times and cultures – questions arise to what extent literature (or specific text types) can also be regarded as intelligent systems.

Needless to stress, literature and culture are not machines, and thus cannot be conceptualised as intelligent systems in the narrow sense of the term. Nor are they genuinely autonomous, in that they cannot sense their environments like ‘natural intelligent systems,’ such as bacteria and cells, are able to, since literary texts require one (or several) agent(s) to come into being. And yet, they share some key features with what has come to be known as intelligent systems: a) literary texts are highly dynamic and adaptive to changing historical and cultural contexts in their ability to productively interacting with complex environments; b) further, they are integrative, since they, in the words of Virginia Woolf, have “devoured so many forms” (1927, 224) and trends, and thereby drive the development of (new) genres; c) in addition, they build up a knowledge base, which helps to distinguish forms or developments of fiction, performance, or lyric within specific genres; and d) they include a certain degree of self-reflexivity, which comes to the fore, for instance, in metafictional elements or language poetry.

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Quelle: https://dhd-blog.org/?p=16595

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PhD position (or Postdoc) in Computational Literary Studies at University of Stuttgart

The Institute for Natural Language Processing (IMS) at University of Stuttgart has an opening for a doctoral researcher (or a postdoc) in the context of project CAUTION [1] to work on the operationalization of concepts from the field of narratology and on tools for computer-aided analysis of a corpus of literary texts. CAUTION is a collaboration between literary studies and computational linguistics, headed by Janina Jacke (University of Göttingen) and Jonas Kuhn (University of Stuttgart) [2], which addresses the phenomenon of unreliable narration in fiction. The project aims to advance the representational means for capturing this phenomenon, to devise a framework for intersubjectively stable annotation in texts, and to develop computational tools for automatically detecting signals for unreliable narration in a corpus. The project is funded by DFG (the German Research Foundation) and is associated with the Priority Programme SPP 2207 Computational Literary Studies.

The successful candidate will work (i) on the detection of text properties signaling unreliable narration using data-driven techniques from natural language processing (NLP) and (ii) on capturing systematically what reasoning leads a reader to consider the narrator of a story to be unreliable, using a symbolic knowledge representation & reasoning framework. Specifically, the project explores how the interaction between story-internal knowledge and background knowledge from various sources can be formalized in a belief-desire-intention model for intelligent agents and how such a formalization can be integrated with the practice of text annotation. An important element of the project will be a close exchange between theoretical research in literary studies and research on algorithmic modeling techniques.

The candidate must have a Master’s degree in computational linguistics, computer science, digital humanities, or similar. Familiarity with the data-driven modeling paradigm in current NLP research, programming skills and experience in running and evaluating corpus-based modeling experiments are a prerequisite.

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Quelle: https://dhd-blog.org/?p=16526

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