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
[email protected]
Contact
- City
Wien- Website
http://jobcenter.univie.ac.at/- Street
Währinger Straße 29- Postal Code
1090
[email protected]- Phone
+43-1-4277-78901- Fax
+43-1-4277-9789
STATUS: EXPIRED
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