We are currently looking for scientific support and therefore – provided approved funding – offer a position as
Research Assistant/ PhD Student (m/f/d)
to the extent of 75-100% limited to 36 months. The remuneration will be in accordance with E13 TV-L (if the formal requirements are fulfilled).
The position entails working towards a PhD on formal modelling and decomposition of cognitive load factors in learning scenarios (see Wirzberger et al., 2020). This includes the validation of model predictions with neurophysiological data. From the obtained findings, we will develop algorithms for adaptive learning and training environments. The project is embedded within the International Research Training Group 2198 Soft Tissue Robotics and conducted in collaboration with the University of Auckland.
The position further encourages teaching within the scope of one course per semester and the co-supervision of bachelor, master and project theses.
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 at least one of the following areas is required: (1) cognitive modeling (preferably with ACT-R) or (2) neurophysiological procedures (preferably fNIRS).
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 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 in this position, please send us your complete application with reference to the job ID LLiS/2021/01 in the form of a single PDF file by May 15, 2021 to firstname.lastname@example.org. Preference will be given to applications received by this date, but applications will remain open until the position is filled.
Your application should contain the following documents: Motivation letter, CV, certificates and transcripts, and samples related to the required software skills. In addition, 2-3 reference letters should be submitted to us directly by the referee.
If you have any questions, please feel free to contact us in advance at email@example.com.
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!