University Assistant
vor 4 Wochen
The University of Vienna (20 faculties and centres, 184 fields of study, approx. 10.400 members of staff, about 90.000 students) seeks to fill the position from 01.05.2023 of a
**University Assistant (prae doc)**
**at**
**the**
**Research Group Neuroinformatics**
to 31.10.2023.
***
**Reference number***:
**13941**
**Duration of employment**: 6 month/s
**Extent of Employment**: 30 hours/week
Job grading in accordance with collective bargaining agreement: -48 VwGr. B1 Grundstufe (praedoc) with relevant work experience determining the assignment to a particular salary grade.
Participation in research and administration:
- Participation in research projects and studies with a focus on the development of a novel kind of brain-computer interface leveraging pre-trained artificial intelligence models
- Participation in research projects and studies with a focus on methods development in computational neuroscience
- Participation in publications / academic articles / presentations
- Participation in teaching and independent teaching of courses as defined by the collective agreement
- Supervision of students
- Involvement in the organisation of meetings, conferences, symposiums
- Involvement in the department administration as well as in research administration
**Profile**:
- A successfully completed master's degree or equivalent in Computer Science, Business Informatics, or a closely related field is required, whereby knowledge of computer science is assumed to be a given
- Professional competence in designing and conducting EEG studies, including preparing the participants and performing the recordings
- Professional competence in designing and conducting studies with severely speech impaired stroke patients
- Methodological competence in processing and analyzing brain signals, in particular electroencephalography (EEG) and multi-electrode array (MEA) data
- Methodological competence in machine learning methods for offline and online classification of EEG and MEA features, with a particular focus on Riemannian methods and deep learning
- High ability to express yourself both orally and in writing
- Excellent command of written and spoken English
- IT user skills
- Ability to work in a team
Desirable qualifications are
- Experience and competence in teaching in higher education
- Experience of working with e-learning
- Knowledge of university processes and structures
- Experience abroad
- Experience in research methods and academic writing
**Research fields**:
**Main research field**
**Special research fields**
**Importance**
- Computer Sciences- Machine learning- SHOULD**Education**:
**Educational institution**
***
**Educational level**
**Importance**
- University- Mathematics, Computer Sciences- Informatics- SHOULD**Languages**:
**Language**
***
**Language level**
**Importance**
- English- Very good knowledge- MUSTFor further information please contact Grosse-Wentrup, Moritz +43-1-4277-79610.
**Reference number: 13941
-
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