Open positions
We are currently looking for scientific support and therefore offer a position as Research assistant/ PhD student (m/f/d) to the extent of 100% limited to 36 months. The remuneration will be in accordance with E13 TV-L (if the formal requirements are fulfilled).
The position
The position focusses on the development of a mobile app to promote environmental awareness in the school context. In this app, students interact with the virtual character of a wild bee 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., knowledge units, reflection prompts, point-based levels and badges). Additionally, a simple web interface should be developed to assist supervising teachers in administrating the mini games in the app. The envisioned research will be conducted in collaboration with the Chemnitz University of Technology (Prof. Dr. Günter Daniel Rey).
The position further entails teaching duties (about one course per semester) and the co-supervision of bachelor, master and project theses.
We highly encourage and support to conduct a doctoral thesis within the project.
What we are looking for
A prerequisite for employment is a completed master’s degree with a relevant professional background (e.g. media informatics, human factors, human-computer interaction, cognitive science or similar fields). In addition, solid experiences in the development of mobile apps in iOS and/or Android, web development and the application of machine learning methods are required.
Furthermore, knowledge in user-centered software development, the willingness for interdisciplinary cooperation and participation in the PR activities of the department are desirable. First experiences in teaching, game-based learning and instructional design (or the willingness to acquire related knowledge) are an additional plus.
Solid English language skills are required for international cooperation and the preparation of publications.
What we offer
We offer the opportunity to participate in the development of intelligent educational technologies in a creative, dynamic, interdisciplinary team that supports learners in a variety of ways. The regional connection with the CyberValley, 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 with reference to the job ID LLiS/2020/01 in the form of a single PDF file by September 20, 2020 to wirzberger@ife.uni-stuttgart.de. Your application should contain the following documents: Motivation letter, CV, certificates and transcripts, samples related to the required software skills, contact details of 2-3 references.
If you have any questions, please feel free to contact us in advance at wirzberger@ife.uni-stuttgart.de or +49 711 685-81176.
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!
We are currently looking for scientific support and therefore offer a position as Research assistant/ PhD student (m/f/d) to the extent of 100% limited to 36 months. The remuneration will be in accordance with E13 TV-L (if the formal requirements are fulfilled).
The position
The position focusses on the formal modelling and decomposition of cognitive load factors in learning scenarios and includes the validation of model predictions with neurophysiological data. From the obtained findings, we will develop algorithms for adaptive learning and training environments. Based on our existing preliminary work, the modelling part will mainly involve the cognitive architecture ACT-R. This video gives a first overview of the project. The envisioned research will be conducted in collaboration with colleagues at the University of Groningen and the University of Auckland.
The position further entails teaching duties (about one course per semester) and the co-supervision of bachelor, master and project theses.
We highly encourage and support to conduct a doctoral thesis within the project.
What we are looking for
A prerequisite for employment is a completed master’s degree with a relevant professional background (e.g., cognitive science, neurocognitive psychology, artificial intelligence, simulation science, human factors or similar fields). In addition, solid experience in the application of ACT-R (LISP or Python variant) and neurophysiological procedures (fNIRS or fMRI) is required.
Skills in the application of machine learning methods and/or complex statistical models, the willingness for interdisciplinary cooperation and participation in the PR activities of the department are desirable. First experiences in teaching are an additional plus.
Solid English language skills are required for international cooperation and the preparation of publications.
What we offer
We offer the opportunity to participate in the development of intelligent educational technologies in a creative, dynamic, interdisciplinary team that supports learners in a variety of ways. The regional connection with the CyberValley, 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 with reference to the job ID LLiS/2020/02 in the form of a single PDF file by September 20, 2020 to wirzberger@ife.uni-stuttgart.de. Your application should contain the following documents: Motivation letter, CV, certificates and transcripts, samples related to the required software skills, contact details of 2-3 references.
If you have any questions, please feel free to contact us in advance at wirzberger@ife.uni-stuttgart.de or +49 711 685-81176.
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!
Events
In the context of this year's virtual conference of the Cognitive Science Society, the largest international professional association for cognitive science, Jun.-Prof. Dr. Maria Wirzberger, together with colleagues from Princeton University and Brown University, organized a full-day workshop on "Mental Effort: One Construct, Many Faces?". The aim of the workshop was to bring together different perspectives on the underlying construct and discuss in particular approaches related to cognitive modeling. The videos from the presented talks can be found on the workshop website. A similar virtual event for 2021 is already planned.
