Predoctoral assistant Computer Science
- Város
- Wien
- Cégnév
- Universität Wien
- Céginfo
- 28 állás a cégnél
- Cég címe
- None None
- Cég weboldal
- https://www.univie.ac.at
- Cég link
- https://at.indeed.com/cmp/Universit%C3%A4t-Wien
- Hirdetés aktiválása
- April 17, 2024, 8:26 a.m.
- Hirdetés utoljára aktív
- May 9, 2024, 3:39 p.m.
- Link
- https://at.indeed.com/viewjob?jk=88f67c66e74f5509

- Vienna,Wien
- 15
- java
- 5
- javascript
- 5
- remote,homeoffice
- 5
- python
- -10
Farkas Kiss Endre legjobb állása Universität Wien
Universität Wien email
Email tárgya
Bewerbung fur IT developer/IT quality assurance
Levél szövege
Lieber Universität Wien!
Ich möchte mich bei Ihrem Unternehmen als Predoctoral assistant Computer Science bewerben.
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.
Ich habe meinen Lebenslauf an diese E-Mail angehängt.
Wir freuen uns darauf, von Ihnen zu hören!
Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger
https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org
Álláshirdetés szövege
At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an
Predoctoral assistant Computer Science
39 Faculty of Computer Science
Job vacancy starting: 06/01/2024 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc)
Limited contract until: 05/31/2028
Job ID: 2196
Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for their continuous striving and curiosity in order to be able to be More than 7,500 academics at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team!
Your personal sphere of influence:
As a university assistant prae doc, you will complement the research team around Prof. Torsten Möller and take over tasks like researching, teaching, collaborating with your fellows. The focus of our research is Visualization and Data Analysis. Our Team VDA currently consists of 10 members: a post doc, prae docs and administrative colleagues. What makes us special as a team is a close collaborative working and researching situation; what is particularly important to us is a healthy feedback loop within our group. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration.
Your future tasks:
You actively participate in research, teaching & administration, which means:
You are involved in research projects and scientific studies.
We expect you to finalize your dissertation agreement within 12-18 months.
You work on your dissertation and its completion.
You hold courses independently within the scope of the provisions of the collective bargaining agreement.
You take on administrative tasks in research, teaching and administration.
The research should focus on Human-Computer-Interaction, Visualization, Usability Research and Data Science.
This is part of your personality:
Professional competence: Background in Computer Science; specifically Human-Computer Interaction, Data Visualisation, Data Science (Master’s level or equivalent professional experience)
Masters degree in one of the following areas: Human-Computer Interaction, Data Visualisation, Data Science, Information Science, Science and Technology Studies, Communication Science or a related field
Methodological competence: First experience with qualitative research methods
Didactic competence desired
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
Teaching experience/experience of working with e-learning
Knowledge of university processes and structures
Experience abroad
Basic experience in research methods and academic writing
Experience with data
Good programming skills (Python / javascript / D3 / C++)
Tableau
Background in or experience creating data visualizations
Experience with quantitative research methods (e.g. in data science or statistical knowledge)
First experiences of interdisciplinary collaborations
Teaching or tutoring experience or workshop facilitation
What we offer:
Work-life balance: Our employees enjoy flexible working hours and can partially work remotely.
Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.
Good public transport connections: Your workplace is easily accessible by public transport.
Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.
Fair salary: The basic salary of EUR 3578,80 (on a full-time basis) increases if we can credit professional experience.
Equal opportunities for everyone: We look forward to diverse personalities in the team!
It is that easy to apply:
With your scientific curriculum vitae
Letter of Motivation, including ideas for a prospective doctoral project proposal
Abstract of master thesis
Master Degree / Diploma
List of publications, evidence of teaching experience (if available)
If you have any questions, please contact:
Torsten Möller
torsten.moeller@univie.ac.at
We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.
University of Vienna. Space for personalities. Since 1365.
Data protection Application deadline: 05/08/2024
Prae Doc