(Post-)Doctoral Researcher (m/f/d) - adaptive AI-based learning platform

Stiftung „Medien in der Bildung“, rechtsfähige Stiftung bürgerlichen Rechts; Tübingen; Vor Ort; EUR 45.000 - 65.000; Vollzeit

Zusammenfassung

Eine innovative Forschungseinrichtung sucht einen (Post-)Doktoranden, um an einem spannenden Projekt zur Entwicklung einer adaptiven Lernplattform zu arbeiten. In einem dynamischen und interdisziplinären Team werden Sie AI-Methoden konzipieren und entwickeln, um das Lernen zu unterstützen. Diese Rolle bietet Ihnen die Möglichkeit, Ihre Forschungsergebnisse national und international zu präsentieren und in renommierten Fachzeitschriften zu veröffentlichen. Genießen Sie ein unterstützendes Arbeitsumfeld mit flexiblen Arbeitszeiten und der Möglichkeit, Familie und Beruf zu vereinbaren. Wenn Sie eine Leidenschaft für KI und Bildung haben, ist dies die perfekte Gelegenheit für Sie.

Leistungen

Familienfreundliche Arbeitszeiten

Unterstützung bei Unterkunftskosten

Mobile Arbeit

Betriebliches Gesundheitsmanagement

Qualifikationen

• Fundierte Kenntnisse aktueller rechnerlinguistischer Modelle und AI-Methoden.
• Erfahrung in Softwareentwicklung, maschinellem Lernen und Datenanalyse.

Aufgaben

• Konzeption und Entwicklung von AI-Methoden zur Unterstützung des adaptiven Lernens.
• Präsentation von Forschungsergebnissen auf nationalen und internationalen Konferenzen.

Kenntnisse

Computational Linguistics

Machine Learning

Data Analytics

Python

R

AI Methods

English Proficiency

German Knowledge

Ausbildung

Master in Computational Linguistics

Doctorate in Cognitive Science

Tools

ML Toolkits

Jobbeschreibung

The Leibniz-Institut für Wissensmedien (IWM) conducts research into the acquisition and sharing of knowledge and cooperation with digital media. The institute is a member of the Leibniz Association (Leibniz Gemeinschaft) and committed to international standards of excellent science.

The IWM invites applications for the position of a

(Post-)Doctoral Researcher (m/f/d)

Full-time fixed term for three years, starting March 2025 (or later)

to participate in the project ALEE (Adaptive Learning in Economics Education) project funded by the Joachim Herz Foundation as part of the research group Language and AI in Education (Prof. Meurers). The project aims to develop an adaptive AI-based learning platform individually supporting children in school.

Responsibilities:

• Conceptualization and development of AI-methods for activity generation supporting adaptive learning and for the automatic analysis of learner responses to open tasks
• Presentation of research findings at national and international conferences
• Publications as well as documentation of these findings in relevant academic journals

Your profile:

• Sound knowledge of current computational linguistic models and AI methods for analyzing and generating language
• Above-average master or doctoral degree in computational linguistics, cognitive science, or related disciplines
• Experience in software development, machine learning and data analytics
• Programming experience with Python, R and current ML toolkits
• Interest in collaborating in an interdisciplinary team
• Very good command of English; knowledge of German is an asset

We offer:

• Work in a cooperative and enthusiastic team
• A stimulating, international and interdisciplinary oriented research environment
• Remuneration based on the collective agreement for the public service in the federal states of Germany (pay group 13 TV-L), including the social benefits customary in public service
• Active support for the reconciliation of work and family life, including a subsidy toward the costs of accommodation and care for children of pre-school age, family-friendly working hours, mobile working and occupational health management (OHM)

Please send your application in a single PDF file by February 15, 2025, with the usual supporting documents and a cover letter, curriculum vitae and degree certificates by quoting reference number 1001-2025 to [e-mail].

Equal opportunities are part of our personnel policy. Applications from equally qualified candidates with disabilities will be given preference.