University Assistant (post doc)

Updated: 11 months ago
Job Type: FullTime
Deadline: 31 May 2023

13 May 2023
Job Information
Organisation/Company

Faculty of Computer Science
Department

Research Group Knowledge Engineering
Research Field

Computer science » Other
Researcher Profile

Recognised Researcher (R2)
Country

Austria
Application Deadline

31 May 2023 - 23:00 (UTC)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

40
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Reference Number

13701
Marie Curie Grant Agreement Number

0
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Active participation in research, teaching and administration. This involves
- Developing and strengthening the independent research profile
- Involvement in research projects / research studies
- International publications and presentations
- Responsibility for project applications and the acquisition of third-party funding
- Preparing / writing a (publication-ready) habilitation thesis
- Independent teaching of courses as defined by the collective agreement
- Supervision of students
- Participation in evaluation measures and quality assurance
- Involvement in the department administration as well as in teaching and research administration


Requirements
Skills/Qualifications

- Doctoral degree/PhD degree in Computer Science, Business Informatics or a related area
- Professional competence: excellent knowledge of Ontologies, RDF, CPS, Digital Twins, and Machine Learning Techniques; good knowledge of conceptual Modelling, esp. Metamodelling, knowledge of ADOxx, C++ and/or Java.
- Didactic competence
- 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
In addition, we expect the successful candidate to have
- Teaching experience / experience of working with e-learning
- Experience of working on research projects
- Publications in renowned, subject-relevant media (peer-reviewed, depending on the professional standards)
- International presentation experience
Desirable qualifications are
- Knowledge of university processes and structures
- Experience abroad
- Experience of supervising students
Application documents
- Letter of motivation
- Academic curriculum vitae (including a list of publications, a list of courses and a list of talks given)
- Description of research interests and research agenda / of the intended habilitation project (if applicable)
- Contact details of people who could provide a letter of reference


Specific Requirements

- Doctoral degree/PhD degree in Computer Science, Business Informatics or a related area
- Professional competence: excellent knowledge of Ontologies, RDF, CPS, Digital Twins, and Machine Learning Techniques; good knowledge of conceptual Modelling, esp. Metamodelling, knowledge of ADOxx, C++ and/or Java.
- Didactic competence
- 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
In addition, we expect the successful candidate to have
- Teaching experience / experience of working with e-learning
- Experience of working on research projects
- Publications in renowned, subject-relevant media (peer-reviewed, depending on the professional standards)
- International presentation experience
Desirable qualifications are
- Knowledge of university processes and structures
- Experience abroad
- Experience of supervising students
Application documents
- Letter of motivation
- Academic curriculum vitae (including a list of publications, a list of courses and a list of talks given)
- Description of research interests and research agenda / of the intended habilitation project (if applicable)
- Contact details of people who could provide a letter of reference


Research Field
Computer science » Other
Years of Research Experience
None

Additional Information
Benefits

www.univie.ac.at


Eligibility criteria

- Doctoral degree/PhD degree in Computer Science, Business Informatics or a related area
- Professional competence: excellent knowledge of Ontologies, RDF, CPS, Digital Twins, and Machine Learning Techniques; good knowledge of conceptual Modelling, esp. Metamodelling, knowledge of ADOxx, C++ and/or Java.
- Didactic competence
- 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


Selection process

- Doctoral degree/PhD degree in Computer Science, Business Informatics or a related area
- Professional competence: excellent knowledge of Ontologies, RDF, CPS, Digital Twins, and Machine Learning Techniques; good knowledge of conceptual Modelling, esp. Metamodelling, knowledge of ADOxx, C++ and/or Java.
- Didactic competence
- 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


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 Knowledge Engineering
Country
Austria
State/Province
VIENNA
City
Wien
Postal Code
1090
Street
Währinger Straße 29

Where to apply
E-mail

[email protected]

Contact
City

Wien
Website

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

Währinger Straße 29
Postal Code

1090
E-Mail

[email protected]
Phone

+43-1-4277-78901
Fax

+43-1-4277-9789

STATUS: EXPIRED

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