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 01.07.2023 of a
University Assistant (prae doc)
at the Research Group Neuroinformatics
Reference number: 13942
The Faculty of Computer Science of the University of Vienna has world-leading researchers in Computer Science who pursue basic as well as applied research.
This position is assigned to the research group Neuroinformatics: https://ni.cs.univie.ac.at/.
The Research Group Neuroinformatics develops machine learning and artificial intelligence (AI) algorithms to uncover relations between neuronal activity, cognition and behaviour. Individual projects range from theoretical research on the foundations of causality and AI over applications in model systems, e.g., C. elegans and zebrafish larvae, to brain-computer interfaces (BCIs) for communication with and rehabilitation in severely paralyzed patient groups.
The announcement is made for three years, whereby the employment relationship is initially limited to 1.5 years and is automatically extended to a total of three years, unless the employer submits a declaration of non-renewal after a maximum of 12 months.
Duration of employment:
Extent of Employment: 30.0 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 / research studies with a focus on the development of joint VR and EEG-based Brain-Computer Interfaces for post-stroke motor rehabilitation
- 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
- 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
- Methodological competence in machine learning methods, to design and implement algorithms for offline and online classification
- Professional competence in designing and conducting EEG studies
- Methodological competence in analyzing brain signals, such as signal processing methods for investigating EEG features
- Didactic competence, teaching experience / experience of working with e-learning
- High ability to express yourself both orally and in writing
- Excellent command of written and spoken English
- Basic experience in research methods and academic writing
- IT user skills
- Ability to work in a team
- Knowledge of university processes and structures
Desirable qualifications are
- Methodological competence in developing and implementing Riemannian geometry-based transfer learning models
- Experience with Virtual Reality (VR), including the design and implementation of rehabilitation tasks
- Practical competence in designing and building an EEG-based BCI that combines post-stroke motor rehabilitation and neurofeedback in VR
- Experience with working with stroke patients
- Experience abroad
Experience in teaching is desirable.
Required documents: Letter of Motivation - scientific Curriculum vitae - List of publications, evidence of teaching experience (if available) - short concept of the dissertation project - Degree certificates
Main research field
| Special research fields
| Artificial intelligence
| Educational level
|Mathematics, Computer Sciences
| Language level
|Very good knowledge
Applications including a letter of motivation (German or English) should be submitted via the Job Center to the University of Vienna (
) no later than 20.04.2023, mentioning reference number 13942.
For further information please contact Grosse-Wentrup, Moritz +43-1-4277-79610.
The University pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity (
). The University lays special emphasis on increasing the number of women in senior and in academic positions. Given equal qualifications, preference will be given to female applicants.
Human Resources and Gender Equality of the University of Vienna
Reference number: 13942