Research assistant/ PhD student (m/f/d) -focus modelling-
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 newly created Department of Teaching and learning with intelligent systems at the Institute of Educational Science 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/ 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 focuses 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 that support learners in various ways in a creative, dynamic, interdisciplinary team. 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 30, 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!