Deadline: 15 July 2026

The Hector Research Institute of Education Sciences and Psychology at the University of Tübingen is currently inviting applications for the following position:

Postdoctoral Research Fellow for AI in Education: Multimodal Learning Analytics in Collaborative Learning (100%, E 13 TVL, for 2 years)

We are seeking a highly motivated postdoctoral researcher in Computer Science, Data Science, Human-Computer Interaction, Psychology, Empirical Educational Research, Learning Sciences, Cognitive Science, or related disciplines who is eager to contribute to cutting-edge research on collaborative learning, multimodal learning analytics, and artificial intelligence. The position offers substantial opportunities to develop an independent research agenda within the broader areas of multimodal learning analytics, AI in education, and (computer-supported) collaborative learning.

The successful candidate will join the interdisciplinary DFG-funded project AEyeCoL - Advanced Understanding of Eye Gaze in Co-Located Collaborative Learning, which investigates co-located collaborative learning processes using mobile eye-tracking, video recordings, discourse data, physiological measures, and machine-learning approaches. The project aims to better understand how gaze behavior, communication, and other multimodal indicators reflect and predict group dynamics during collaborative learning and how these processes can be automatically assessed and supported using multimodal data and AI-based methods. The postdoctoral researcher will play a leading scientific role in the project, driving multimodal data analyses, developing novel computational methods, publishing findings in leading international journals and conferences, contributing to grant development, and preparing follow-up studies in higher education and school contexts. 

The successful candidate will work closely with Dr. Babette Bühler, future Tenure-Track Professor of AI in Education, Prof. Dr. Ulrich Trautwein, Dr. Tim Fütterer, project collaborators at the Technical University of Munich, and other researchers at the Hector Research Institute. The Hector Research Institute is a nationally and internationally leading research center in education science and psychology. Our interdisciplinary team works in a well-equipped building located close to the historic old town of Tübingen, Germany (www.hib.uni-tuebingen.de). The institute aims to establish a research hub focused on data science and machine learning in education, and we are seeking candidates who have the potential to take a leading role in this initiative.

The position is offered as a fixed-term contract for 2 years, with the possibility of extension contingent on funding availability. The expected start date is Fall 2026. The successful candidate will have the opportunity to participate in the institute’s postdoctoral academy, PACE (Tübingen Postdoctoral Academy for Research on Education), which offers training, coaching, and mentoring at the postdoctoral level. In addition, the candidate may join the LEAD Graduate School & Research Network (www.lead.uni-tuebingen.de) to develop cross-faculty collaborations with researchers in the field of education.

What We Expect from You

We are looking for a candidate with a strong methodological background, excellent research skills, and enthusiasm for interdisciplinary collaboration. Specifically, we expect:

• A completed PhD in Computer Science, Human-Computer Interaction, Data Science, Cognitive Science, Psychology, Empirical Educational Research, Learning Sciences, or a related discipline.

• Demonstrated experience with machine learning, learning analytics, computational modeling, computer vision, natural language processing, or related AI-based methods.

• Strong programming skills, preferably in Python.

• Experience working with complex, multimodal datasets and reproducible research workflows.

• Experience with eye-tracking research or a strong interest in learning and applying eye-tracking methods.

• Proficiency in English as a working language in an international research team.

• The ability to work independently while contributing actively to collaborative research projects.

• Interest in interdisciplinary research at the intersection of education, psychology, AI, and learning analytics.

In addition, the following qualifications would be considered an asset:

• Experience with multimodal machine learning and multimodal data fusion approaches.

• Experience with discourse analysis, natural language processing, or conversational data.

• Interest in open science, reproducible workflows, and open-source tool development.

What We Offer

We provide an inspiring, productive, and collaborative research environment with excellent opportunities for professional and academic development. Specifically, we offer:

• Access to a unique, large-scale multimodal dataset that has already been collected, including mobile eye-tracking, video, discourse, physiological, and collaboration data, providing immediate opportunities for high-impact publications and methodological innovation.

• Support for interdisciplinary and international collaborations, such as lab visits and participation in international conferences.

• Opportunities to contribute to the supervision of doctoral and student researchers and to participate in collaborative grant development activities.

• Opportunity to participate in the institute’s postdoctoral academy, PACE (Tübingen Postdoctoral Academy for Research on Education), which offers training, coaching, and mentoring at the postdoctoral level. 

• Integration into the LEAD Graduate School & Research Network (www.lead.uni-tuebingen.de).

• Involvement in a dynamic and motivated research team passionate about education, AI, and technology.

For further inquiries about the position, please contact Babette Bühler (babette.buehler@uni-tuebingen.de).

Applications should include (1) a cover letter outlining your expertise, (2) a CV, (3) contact details of two referees, and (4) copies of degree certificates and transcripts. Please submit all documents as a single PDF file, referencing “AEyeCol Postdoc”, to jobsspam prevention@hib.uni-tuebingen.de. The application deadline is July 15, 2026. 

The University of Tübingen is committed to equity and diversity and actively promotes equal opportunities. Equally qualified candidates with disabilities will be given preference in the hiring process. The University of Tübingen is committed to increasing the percentage of women in research and teaching and thus encourages women with adequate qualifications to apply.

Employment will be officially carried out by the central university administration.

Deadline: 15 July 2026

At the Hector Research Institute of Education Sciences and Psychology, an interdisciplinary research institute at the University of Tübingen, the following position is available from October 2026:

PhD Position (m/f/d) in AI in Education: Multimodal Learning Analytics and Adaptive Learning Environments

(75% TV-L E13, limited to three years)

We are seeking a highly motivated PhD candidate with a background in Computer Science, Cognitive Science, Psychology, Learning Sciences, Educational Research, Data Science, Human-Computer Interaction, or a related field to join our interdisciplinary research team at the Hector Research Institute of Education Sciences and Psychology, University of Tübingen. The successful candidate will contribute to a research program that develops AI systems capable of modeling, assessing, and supporting learners’ attentional, cognitive, and metacognitive processes in real time using multimodal behavioral data. The position is embedded in a growing research initiative at the intersection of artificial intelligence, learning analytics, psychology, and educational research.

A central focus of the project is understanding how learners regulate their attention and learning processes, including phenomena such as mind wandering, metacognitive monitoring, and self-regulated learning. Using multimodal behavioral data, including eye tracking, video recordings, digital trace data, and other behavioral indicators, we aim to develop AI models capable of detecting and modeling these processes in real time.

The project further investigates how such multimodal AI systems can be integrated into adaptive learning environments that provide personalized support based on learners’ attentional and self-regulatory needs. The PhD candidate will design and conduct empirical studies, develop multimodal machine-learning models, investigate the mechanisms underlying attention and learning, and contribute to the development of AI-supported educational technologies.

The successful candidate will work closely with Dr. Babette Bühler, future Tenure-Track Professor for AI in Education, Prof. Dr. Ulrich Trautwein, Prof. Dr. Peter Gerjets (IWM), and collaborate with researchers at the Hector Research Institute and the LEAD Graduate School & Research Network.

What We Expect from You

We are looking for a candidate with a strong academic background, enthusiasm for interdisciplinary research, and a genuine interest in using AI to better understand and support learning. Specifically, we expect:

• An excellent academic degree (Master’s or equivalent) in Computer Science, Cognitive Science, Statistics, Psychology, Empirical Educational Research, or a related field.

• Strong interest in human-centered artificial intelligence, adaptive learning systems, and educational technologies.

• Programming skills, preferably in Python, or a demonstrated willingness and ability to rapidly develop advanced programming skills.

• Experience with machine learning, statistical methods, and a strong interest in AI methods.

• Interest in working with multimodal data (Eye Tracking, Video, Audio, Log Data).

• Proficiency in English as a working language in an international research team.

• A willingness to engage in interdisciplinary collaboration and teamwork.

• The ability to work independently and a high level of personal commitment.

• A commitment to continuous professional development in line with the project’s requirements.

In addition, the following qualifications would be considered an asset:

• Experience with machine learning, deep learning, computer vision, multimodal learning analytics, or related computational methods.

• Experience designing and conducting field studies, experiments, or user studies.

What We Offer

We provide an inspiring, productive, and collaborative research environment with excellent opportunities for professional and academic development. Specifically, we offer:

• Comprehensive supervision and a wide range of training opportunities, including methodological training as part of early-career researcher support.

• The opportunity to contribute to cutting-edge research at the intersection of artificial intelligence, learning analytics, and education.

• Support for interdisciplinary and international collaborations, such as lab visits and participation in international conferences.

• Guidance in scientific publishing and the opportunity to share your research with a broader audience.

• Integration into the LEAD Graduate School & Research Network (www.lead.uni-tuebingen.de).

• Involvement in a dynamic and motivated research team passionate about education and AI.

For further information about the position, please contact Dr. Babette Bühler at babette.buehlerspam prevention@uni-tuebingen.de.

The Hector Research Institute of Education Sciences and Psychology is an interdisciplinary research institute at the University of Tübingen, dedicated to investigating the individual, social, and institutional determinants of learning and educational processes. Our research employs a broad range of methodological approaches, including large-scale assessments, longitudinal and laboratory studies, and randomized field experiments. We collaborate closely with schools and educational institutions to generate evidence-based insights to improve the educational landscape. Our institute is recognized as a leading center for empirical educational research both nationally and internationally. As an interdisciplinary team, we work in a well-equipped research facility, located near the historic old town of Tübingen. For more information about our work and institute, please visit www.hib.uni-tuebingen.de.

We hope to have sparked your interest and invite you to submit your complete and compelling application (including a motivation letter, CV, and transcripts) as a single PDF document, referencing “PhD AI in Education”, by July 15, 2026, via email to jobsspam prevention@hib.uni-tuebingen.de.

Applicants with disabilities will be given preferential consideration if equally qualified. The University of Tübingen is committed to equal opportunities and diversity and takes individual life circumstances into account. The university aims to increase the representation of women in research and teaching and therefore strongly encourages qualified female researchers to apply.

The employment will be administered through the Central Administration of the University of Tübingen.

At the Hector Research Institute of Education Sciences and Psychology, an interdisciplinary research institute at the University of Tübingen, the following position is available at the earliest possible date:

PhD Position (m/f/d) in Teaching Quality and AI-generated Classroom Videos

(75% TV-L E13, limited to three years)

We are seeking a highly motivated PhD candidate in Psychology, Empirical Educational Research, Cognitive Science, or related disciplines who is eager to conduct in-depth and systematic analyses of the affordances and constraints of AI-generated classroom videos for research on teaching quality.

As part of the interdisciplinary research team on artificial intelligence (AI)-generated classroom videos, we investigate how AI can be used to systematically investigate teaching quality dimensions and teacher personality. Within this framework, the PhD position will focus on systematic variations in teacher personality, the validation of teaching quality dimensions in experimental designs, the potential of AI for assessing these dimensions, and rater and teacher training. We are looking for a PhD candidate with a strong interest in both theoretical and empirical research on teaching quality, classroom dynamics, personality, and, ideally, with enthusiasm for research at the intersection of education, psychology, and AI. Experience in experimental research is desirable, preferably complemented by strong quantitative analysis and enhanced AI skills.

The successful candidate will work closely with Dr. Tim Fütterer, Prof. Dr. Ulrich Trautwein, and other project team members and will collaborate with researchers at the Hector Research Institute of Education Sciences and Psychology, as well as the LEAD Graduate School & Research Network (Learning, Educational Achievement, and Life Course Development) to design and conduct studies.

What We Expect from You

We are looking for a candidate with a strong academic background and a keen interest in empirical research. Specifically, we expect:

• An excellent academic degree (Master’s or equivalent) in Psychology, Empirical Educational Research, Cognitive Science, or a related field.

• Openness to empirical research methods and curiosity about statistical approaches.

• Proficiency in English as a working language in an international research team.

• Experience with statistical analysis software, such as R, SPSS, or Mplus.

• A willingness to engage in interdisciplinary collaboration and teamwork.

• The ability to work independently and a high level of personal commitment.

• A commitment to continuous professional development in line with the project’s requirements.

In addition, the following qualifications would be considered an asset:

• Interest in open-weight models and a general curiosity about AI.

• Interest in leveraging AI meaningfully within educational contexts.

• Experience with tools such as ComfyUI or similar frameworks.

• Basic experience in video production, particularly editing and simple post-production.

• A basic understanding of Python (proficiency is not required, but conceptual familiarity is beneficial).

What We Offer

We provide an inspiring, productive, and collaborative research environment with excellent opportunities for professional and academic development. Specifically, we offer:

• Comprehensive supervision and a wide range of training opportunities, including methodological training as part of early-career researcher support.

• Support for interdisciplinary and international collaborations, such as lab visits and participation in international conferences.

• Guidance in scientific publishing and the opportunity to share your research with a broader audience.

• Integration into the LEAD Graduate School & Research Network (www.lead.uni-tuebingen.de).

• Involvement in a dynamic and motivated research team passionate about education, digitalization, and technology.

For further information about the position, please contact Dr. Tim Fütterer at tim.fuettererspam prevention@uni-tuebingen.de.

The Hector Research Institute of Education Sciences and Psychology is an interdisciplinary research institute at the University of Tübingen, dedicated to investigating the individual, social, and institutional determinants of learning and educational processes. Our research employs a broad range of methodological approaches, including large-scale assessments, longitudinal and laboratory studies, and randomized field experiments. We collaborate closely with schools and educational institutions to generate evidence-based insights to improve the educational landscape. Our institute is recognized as a leading center for empirical educational research both nationally and internationally. As an interdisciplinary team, we work in a well-equipped research facility, located near the historic old town of Tübingen. For more information about our work and institute, please visit www.hib.uni-tuebingen.de.

We hope to have sparked your interest and invite you to submit your complete and compelling application (including a cover letter, CV, and transcripts) as a single PDF document, referencing “PhD AI Classroom Videos and Teaching Quality”, by July 31, 2026, via email to jobsspam prevention@hib.uni-tuebingen.de.

Applicants with disabilities will be given preferential consideration if equally qualified. The University of Tübingen is committed to equal opportunities and diversity and takes individual life circumstances into account. The university aims to increase the representation of women in research and teaching and therefore strongly encourages qualified female researchers to apply.

The employment will be administered through the Central Administration of the University of Tübingen.

Bewerbungsfrist: 26. Juni 2026

Im Dekanat der Wirtschafts- und Sozialwissenschaftlichen Fakultät ist zum nächstmöglichen Zeitpunkt die Stelle eines/einer

Referent/in (m/w/d) 
mit dem Schwerpunkt Personal

(TV-L E13, 50%)

zunächst befristet bis 31.12.2029 zu besetzen.

Auf dieser Stelle übernehmen Sie im Rahmen einer Vertretung eigenverantwortlich zentrale Aufgaben im Personal‑ und Fakultätsmanagement und tragen aktiv zur strategischen Weiterentwicklung der Fakultätsverwaltung bei. Ein wesentlicher Schwerpunkt liegt auf der Gestaltung und Optimierung von Organisations‑ und Verwaltungsprozessen, auch im Rahmen der fortschreitenden Digitalisierung und der steigenden Relevanz von KI-Anwendungen. Sie analysieren bestehende Abläufe, identifizieren Veränderungsbedarfe und entwickeln tragfähige Konzepte, die sowohl strukturelle als auch personelle Auswirkungen berücksichtigen. Darüber hinaus bereiten Sie komplexe Sachverhalte und Analysen adressatengerecht auf und unterstützen die Fakultätsleitung mit fundierten Ausarbeitungen zu Stellenplanungen, Finanzierungsfragen und Kapazitätsentwicklungen. Im Stellenmanagement wirken Sie an der Planung, Steuerung und Weiterentwicklung von Personalkonzepten mit. Die Übernahme ausgewählter operativer Aufgaben im Personalmanagement (z. B. Begleitung von Besetzungsverfahren, Vertragsprozesse) runden das Stellenprofil ab. 

Ein überdurchschnittlicher Abschluss eines wissenschaftlichen Hochschulstudiums bevorzugt in einem wirtschafts- oder sozialwissenschaftlichen Fach oder in Jura und Berufserfahrungen im Bereich des Personalmanagements an einer deutschen Hochschule werden vorausgesetzt. Erforderlich sind fundierte Kenntnisse im Personalmanagement, in der Organisations‑ und Prozessentwicklung sowie die Fähigkeit, komplexe Fragestellungen analytisch zu bearbeiten und entscheidungsrelevante Konzepte zu entwickeln; insbesondere im Kontext der fortschreitenden Digitalisierung und des Einsatzes von Künstlicher Intelligenz. Kenntnisse hochschulspezifischer Steuerungsinstrumente (z. B. Stellenbewirtschaftung, Kapazitätsplanung) sind ebenso erforderlich. Ein hohes Maß an strategischer und analytischer Kompetenz, diplomatischem Geschick in der Kommunikation mit verschiedenen Interessenvertreter:innen, Eigeninitiative und die Fähigkeit zu konzeptionellem sowie selbstständigem Arbeiten, sehr gute EDV-Anwenderkenntnisse (MS Office, KI-basierten Abwendungen), sehr gute englische Sprachkenntnisse in Wort und Schrift sowie die Bereitschaft zur kontinuierlichen Weiterbildung runden Ihr Profil ab.

Wir bieten ein sehr gutes Arbeitsklima, Flexibilität und attraktive Fort- und Weiterbildungsmöglichkeiten. Was wir Ihnen darüber hinaus bieten: z.B. strukturiertes Onboarding-Programm der Universität, betriebliches Gesundheitsmanagement sowie einen Zuschuss zum Deutschlandjobticket.

Menschen mit einer Schwerbehinderung werden bei gleicher Eignung bevorzugt eingestellt. Die Universität Tübingen setzt sich für die Ziele der Gleichstellung und Diversität ein und fördert aktiv Chancengleichheit.

Bewerbungen mit den üblichen Unterlagen (Motivationsschreiben, Lebenslauf und Zeugnisse) und der Nennung des Kennwortes „WiSo Referent/in Personal“ sind bis zum 26. Juni 2026 – in einer pdf-Datei – zu senden an Dr. Kristin Chlosta, Geschäftsführerin Personal der Wirtschafts- und Sozialwissenschaftlichen Fakultät, bewerbung@wiso.uni-tuebingen.de.

Für inhaltliche Rückfragen zu dieser Stelle können Sie sich gerne an Dr. Kristin Chlosta unter 07071-29-72993 oder der oben genannten Email-Adresse wenden.

Die Einstellung erfolgt durch die Zentrale Verwaltung.

The Chair of International Business is seeking to hire, starting May 1, 2026 or later,

a student assistant (m/f/d, 15 hours per month)

Responsibilities include:

- Administrative support in teaching activities

- Assistance with ongoing research projects

- Support with general administrative tasks at the Chair

Requirements:

- Confident use of Microsoft Office

- Excellent command of English

- International experience is a plus

- Enrolled in at least the 3rd semester of a bachelor's degree program

- Ideally enrolled at the University of Tübingen for at least two more semesters 

- High level of independence, structured and precise work style, reliability, teamwork skills, and strong communication skills

What we offer:

- A collegial and supportive working environment
- Flexible working hours by arrangement with the Chair
- Compensation according to the standard university rate (BA: €13,98/hour, MA: €14.87/hour) 

If you are interested in joining our team, we look forward to receiving your application (including a cover letter, CV, and ToR) as a single PDF file sent to: ib@wiwi.uni-tuebingen.de.

Applicants with officially recognized disabilities will be given preference in cases of equal qualification. The University is committed to equal opportunity and diversity.
For further inquiries, please contact us at ib@wiwi.uni-tuebingen.de