University Assistant (prae doc)

13 May 2023
Job Information

Organisation/Company

Faculty of Computer Science

Department

Research Group Neuroinformatics

Research Field

Computer science » Autonomic computing

Researcher Profile

First Stage Researcher (R1)

Country

Austria

Application Deadline

31 May 2023 - 23:00 (UTC)

Type of Contract

Temporary

Job Status

Part-time

Hours Per Week

30

Offer Starting Date

1 Jul 2023

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

14198

Marie Curie Grant Agreement Number

0

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

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

Requirements
Skills/Qualifications

- 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

Application documents

- Letter of Motivation including ideas for a prospective doctoral project proposal

- Curriculum vitae

- List of publications, evidence of teaching experience (if available)

- Degree certificatess

Specific Requirements

- 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

Application documents

- Letter of Motivation including ideas for a prospective doctoral project proposal

- Curriculum vitae

- List of publications, evidence of teaching experience (if available)

- Degree certificatess

Research Field

Computer science » Autonomic computing

Years of Research Experience

None

Additional Information
Benefits

www.univie.ac.at

Eligibility criteria

- 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

Selection process

- 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

Additional comments

The University of Vienna was founded in 1365 and is the oldest university in the German-speaking world and one of the largest in Central Europe. At present, about 88,000 students are enrolled in 180 courses at the University of Vienna. The University of Vienna is also the largest teaching and research institution in Austria with 8,900 employees, 6,700 of whom are scientists and academics.

Website for additional job details

http://www.univie.ac.at

Work Location(s)

Number of offers available

1

Company/Institute

Research Group Neuroinformatics

Country

Austria

State/Province

VIENNA

City

Wien

Postal Code

1090

Street

Kolingasse 14-16

Where to apply

E-mail

[email protected]

Contact

City

Wien

Website

http://jobcenter.univie.ac.at/

Street

Kolingasse 14-16

Postal Code

1090

E-Mail

[email protected]

STATUS: EXPIRED