Job offers-List view

In the Department of Economics, Institute of Economics - Department of Information Systems (Prof. Dr. Jan Marco Leimeister), the following position is to be filled as of 01.05.2026 or by arrangement:

1 Research Assistant (m/f/d), EG 13 TV-H, fixed-term, full-time (currently 40 hours per week)

The position is initially advertised as part of the "ZuKIPro" (Future Center for Human-Centered AI in Production Work) and KIDoMa (AI-supported Documentation and Optimization of Integrated Management Systems) projects on a fixed-term basis in accordance with the Wissenschaftszeitvertragsgesetz and subject to funding approval. Further employment is sought. The possibility of a doctorate is given.

Are you passionate about artificial intelligence and looking for a challenging PhD position where you can actively shape state-of-the-art AI technologies? Are you enthusiastic about demonstrating the practical application possibilities of AI technologies to small and medium-sized companies and advising them in this regard? Would you like to research how generative AI can be used in day-to-day business and at the same time understand the role of humans in this? Then this doctoral position is just right for you!

At the Department of Information Systems, we advise SMEs on generative AI in various transfer projects and develop generative AI agents in various research projects; not only in the context of the aforementioned projects. We conceptualize, design and test generative AI agents for research projects, for example for company certification according to ISO standards. With regard to our transfer projects, our approach is to incorporate practical needs and scientific research findings into our SME consulting services.

How do we work?

You will take on responsibility early on in an interdisciplinary team in which you will research and implement new approaches to the prototypical design and use of AI agents, as well as develop approaches and materials for advising SMEs from Hesse on the possible uses and areas of application of AI in their day-to-day business and advise them on this. Their work is carried out both independently and in close cooperation with a dynamic consortium of science, social organizations and technology partners. Together, we explore how human-AI interactions can be meaningfully designed to enable sustainable, user-centered innovation.

We offer you:

• An innovative and practical research environment with direct relevance to current AI and digitalization issues in the SME environment
• The opportunity to do a doctorate in the field of generative AI
• Early assumption of responsibility in an interdisciplinary and agile team
• Diverse development opportunities in the field of new technologies
• An interdisciplinary, dynamic team and close collaboration with leading practice partners
• International and national conference participation and research stays abroad are encouraged
• Team events and collegial exchange

What convinces us:

• Very good degree in business informatics or a comparable subject (computer science, industrial engineering, economics, business psychology). The degree must be available by the recruitment date at the latest.
• Interest in AI technologies,
• Basic knowledge of empirical research methods (quantitative or qualitative) and/or programming skills (e.g. Python, R)
• High level of initiative, ability to work in a team, organizational skills and enjoy interdisciplinary collaboration
• Very good written and oral communication skills in German and English.

If you have any questions, please contact the head of the research group apl. Prof. Dr. Ulrich Bretschneider (bretschneider(at)uni-kassel.de or the head of the department Prof. Dr. Jan Marco Leimeister (leimeister(at)uni-kassel.de).

In the Department of Economics, Institute of Economics - Department of Information Systems (Prof. Dr. Jan Marco Leimeister), the following position is to be filled as of 01.05.2026 or by arrangement:

1 Research Assistant (m/f/d), EG 13 TV-H, fixed-term, full-time (currently 40 hours per week).

The position is initially limited until 31.12.2028 as part of the project "KIDaS" (The AI-supported data platform for social services) in accordance with the Wissenschaftszeitvertragsgesetz (Wissenschaftszeitvertragsgesetz). Further employment is sought. The possibility of a doctorate is given.

Are you passionate about artificial intelligence and looking for a challenging doctoral position where you can actively shape state-of-the-art AI technologies? Would you like to research how Generative AI, Agentic AI and data-driven platforms are designed and at the same time understand the role of humans in the socio-technical system? Then this doctoral position is just right for you!

At the Department of Information Systems, we design, develop and test generative AI agents and innovative services. We design agentic AI systems that make independent decisions and want to understand how this affects people and companies. Our approach combines technological excellence with human-centered design to create AI solutions that are practical, trustworthy and socially relevant.

How do we work?

You will take early responsibility in an interdisciplinary team where you will research and implement new approaches to prototype design and use of AI agents, as well as participate in conducting empirical studies with reputable corporate partners. Your work will be both independent and in close collaboration with a dynamic consortium of academia, social organizations and technology partners. Together, we will explore how human-AI interactions can be meaningfully designed to enable sustainable, user-centered innovation.

We offer you:

• An innovative and practical research environment with direct relevance to current issues in AI and digitalization in the social sector
• The opportunity to do a PhD in the fields of generative AI, agentic AI, data platforms, digital services or human-AI interaction
• Early assumption of responsibility in an interdisciplinary, agile team
• Diverse development opportunities in the field of new technologies and data-driven business models
• An interdisciplinary, dynamic team and close collaboration with leading practice partners
• International and national conference participation and research stays abroad are encouraged
• Team events and collegial exchange

What convinces us:

• Very good degree in business informatics or a comparable subject (computer science, industrial engineering, economics, business psychology. The degree must be available by the recruitment date at the latest.
• Interest in AI technologies, especially generative AI, multi-agent systems and humans
• Basic knowledge of empirical research methods (quantitative or qualitative) and/or programming skills (e.g. Python, R)
• High level of initiative, ability to work in a team, organizational skills and enjoy interdisciplinary collaboration
• Very good written and oral communication skills in German and English
• First professional experience in IT consulting, experience with formal graph theory or knowledge graph applications is an advantage, but not required.

If you have any questions, please contact research group leader Dr. Mahei Li (mahei.li(at)uni-kassel.de) or department head Prof. Dr. Jan Marco Leimeister (leimeister(at)uni-kassel.de).

In the Department of Economics, Institute of Economics - Department of Information Systems (Prof. Dr. Jan Marco Leimeister), the following position is to be filled as of 01.05.2026 or by arrangement:

1 Research Assistant (m/f/d), EG 13 TV-H, fixed-term, full-time (currently 40 hours per week).

The position is initially limited until 31.03.2028 as part of the LIFT (Learning Innovation with Flipped Tutoring) research project. Further employment is sought and a scientific qualification (doctorate) is expressly planned.

Project context

In the LIFT project, an AI-based tutor for the intelligent support of students in self-learning phases of the flipped classroom is being researched and developed. The focus is on adaptive learning paths, generative feedback and direct student participation (human-AI co-adaptation). The position combines conceptual-technical system development with empirical laboratory and field evaluation - with a clear focus on Human-AI Interaction and Learning Experience Research.

Your tasks

• Collaboration and research in the area of the third-party funded project "LIFT - Hybridization of human and artificial intelligence in knowledge work", including
  • Conception, co-design and prototypical development of interactive AI learning tutoring systems (e.g. adaptive learning paths, feedback dialogs, scaffolding of learning processes)
  • Planning and conducting empirical laboratory or field studies on learning effects, system acceptance and cognitive relief
  • Continuous iterative further development of the tutor based on usage data, feedback and evaluation results
  • Scientific publication at the interface of business informatics, educational technology, learning sciences and human-AI interaction
  • Participation in teaching/transfer activities (OER, university piloting)

We offer

• An interdisciplinary research environment with direct integration of didactics, AI development and user research
• Freedom to focus on system development and evaluation as part of your doctorate
• Access to laboratory and real environments for human-centered AI research
• Structured doctoral supervision, including research stays and international visibility
• Opportunity to help shape future university teaching in a real-world context

Your profile

• Completed university degree in business informatics, computer science, HCI, psychology, data science, education or cognitive science or similar
• Interest in the combined design and empirical investigation of AI-supported learning systems
• Knowledge in at least one of the areas AI prototyping / generative AI / cognition / experimental learning research / UX
• Willingness to work interdisciplinarily between technology, learning science and user research
• Very good linguistic and scientific communication skills (German and English)
• Motivation to create real impact in university teaching
• High level of initiative, ability to work in a team and enjoy interdisciplinary collaboration

If you have any questions, please contact Prof. Dr. Jan Marco Leimeister (leimeister@uni-kassel.de).

Your profile:

• You are an enrolled student (m/f/d) of computer science, business informatics or a comparable degree program at the University of Kassel.
• Initial experience in web development, ideally through previous internships or private projects.
• You enjoy familiarizing yourself with new topics and contributing your own ideas.
• Structured and independent way of working.

Ideally you have:

• Basic knowledge of HTML5, CSS3 and JavaScript (ideally also experience with a framework such as React, Vue.js or Svelte).
• Initial experience with backend technologies (e.g. PHP, Python (Django/Flask), Node.js or Java (Spring Boot)).
• Basic understanding of databases (SQL, e.g. MySQL, PostgreSQL).
• Confident handling of version management tools (ideally Git).
• Advantageous: Experience with content management systems(WordPress) or knowledge of web accessibility.

Your tasks:

• You support the team in the development and maintenance of a new website
• You implement and test your own small features and modules
• You help with the conversion of layouts into responsive and accessible websites
• You document your code and create short technical documentation.
• Depending on the project situation: familiarization with new topics such as the connection of web services or the optimization of loading times.

We offer you:

• Practical experience: you work on real projects that are used by students and employees.
• Flexible working hours: Working hours are easily compatible with your studies (approx. 10-15 hours/week, can be arranged flexibly during lecture periods).
• Modern working environment: Working in a motivated team with flat hierarchies.
• Further training: You will gain insights into current web technologies and development processes.
• Remuneration: Based on the pay scale for student assistants (TV-H Stud III).
• Central workplace: The workplaces are located on the campus of the University of Kassel (e.g. Holländischer Platz) and are easily accessible by public transport.

Have we piqued your interest?
Then we look forward to receiving your detailed application with a CV, current overview of grades and relevant certificates. Please send your documents in a PDF file (max. 5 MB) by e-mail to

David Sonnabend
david.sonnabend[at]wi-kassel[dot]de

The University of Kassel strives to increase the proportion of women in science. Qualified women are therefore strongly encouraged to apply. If equally qualified, severely disabled persons will be given preference.

You can also find the complete job advertisement here.