How can we tailor learning situations to the learners in the best possible way and help them to achieve their educational goals in the long term? In the Department of Teaching and Learning with Intelligent Systems (LLiS) at the Institute of Educational Science (IfE) at the University of Stuttgart, we combine educational theories with psychological methods and algorithms from artificial intelligence to answer this question. Our resulting intelligent educational technologies can adapt to the learners and their contexts, and thus provide them with optimal support.
We are currently looking for scientific support and therefore offer a position as
Research assistant (f/m/d)
to the extent of up to 100%, initially limited until December 31, 2022. An extension is considered. The remuneration will be in accordance with E13 TV-L (if the formal requirements are fulfilled).
The position is part of the BeeLife project and mainly focuses on the development of a mobile app to promote environmental awareness in the school context. Software development will be conducted in Unity and should ensure compatibility with both Android and iOS. In the app, students will interact with virtual wild bee characters and complete various mini games. Machine learning algorithms will be used to ensure the adaptive functionality of the app and the included features (e.g., content units, knowledge tests, reflection prompts, point-based levels, and badges). A simple web interface should assist supervising teachers in administrating the mini games in the app. The research is conducted in collaboration with the Chemnitz University of Technology (Prof. Dr. Günter Daniel Rey).
We appreciate interest in teaching a course independently and, if necessary, co-supervising bachelor, master, and project theses.
A prerequisite for employment is a completed master’s or diploma degree with a relevant professional background, e.g., (applied) computer science, software technology, game design, human-computer interaction, cognitive science, or similar fields. In addition, solid experiences with Unity, the development of mobile apps (iOS and/or Android) and agile software development practices are required. Experiences with web development and the application of machine learning methods are an additional Plus.
Furthermore, knowledge in user-centered design, the willingness for interdisciplinary cooperation and participation in the PR activities of the department are desirable. We also appreciate first experiences in teaching or interest in acquiring related experience.
Solid English language skills are required for working in our international team and the preparation of publications.
What we offer
We offer the opportunity to participate in the development of intelligent educational technologies that support learners in various ways in a creative, dynamic, interdisciplinary team. The regional connection with Cyber Valley, Europe's largest AI cluster, provides the opportunity to work with top scientists from all over the world and to use a rich infrastructure of events and educational opportunities.
In addition to subject-related qualifications, we facilitate the personal development of our team members in various ways, e.g., by participating in national and international conferences, summer schools and career-related workshops, joint publications, participation in scientific networks or regular mentoring.
We offer flexible working hours and promote a good work-life balance.
How to apply
If you are interested, please send us your complete application to the job ID LLiS/2021/02 in the form of one single PDF file to email@example.com. Your application should contain the following documents: Motivation letter, CV, certificates and transcripts, samples related to the required software skills. We further ask you to indicate contact details of at least two references. Please note that we only consider complete applications in the selection process.
Applications remain open until the position is filled.
If you have any questions related to content, please feel free to contact Jun.-Prof. Dr. Maria Wirzberger (Principal Investigator) in advance at firstname.lastname@example.org.
The University of Stuttgart would like to increase the proportion of women in the scientific field. Therefore, women are explicitly encouraged to apply. Severely handicapped persons will be given priority in the event of equal aptitude. We promote gender equality and diversity.
With the submission of your application, you accept the processing of your applicant data in terms of the data-protection law. Further information on the legal basis and data usage according to article 13 of the General Data Protection Regulation (GDPR) is provided at https://www.uni-stuttgart.de/en/privacy-notice/job-application/.
We are looking forward to receiving your application!