University assistant predoctoral

Állás info
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 10, 2024, 2:26 p.m.
Hirdetés utoljára aktív
April 30, 2024, 12:06 p.m.
Link
https://at.indeed.com/viewjob?jk=4efdd38e8a8d4cea
Farkas Kiss Endre University assistant predoctoral bei  nudist vlogger
Pontszám
Vienna,Wien
15
Lead
7
java
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 University assistant predoctoral 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

University assistant predoctoral
39 Faculty of Computer Science
Job vacancy starting: 05/01/2024 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc)
Limited contract until: 04/30/2028
Job ID: 2133

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:
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 of a University assistant (prae doc) as soon as possible, limited to 4 years at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant

The Faculty of Computer Science at the University of Vienna has world-leading researchers in computer science who conduct both basic and applied research. We offer an excellent working environment in a young, creative and international team. As a member of the Data Mining team, you will work on exciting data mining projects and have the opportunity to take on responsibility at an early stage, publish the results at leading international conferences and exchange ideas with international and interdisciplinary cooperation partners.

Your future tasks:
Participation in research, teaching and administration:

Participation in research projects / research studies
Participation in publications / academic articles / presentations
We expect the successful candidate to sign a doctoral thesis agreement within 12-18 months.
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 teaching and research administration

The research should focus on data mining, e.g. clustering, representation learning, causality detection and graph mining.

This is part of your personality:

Master in Computer Science or equivalent qualification with a strong focus on Computer Science with excellent marks.
Very good German and English language skills.
Very good mathematical understanding
Very good programming skills, mastery of at least two of the following programming languages: Java, C++, C#, Python
Strong ability to work in teams
Perseverance and ability to make things done
High motivation to publish at the top-level conferences

Desirable qualifications are

Experience in one or more of the following fields: Clustering, representation learning, deep learning
Teaching experience / experience of working with e-learning
Knowledge of university processes and structures
Experience abroad
Basic experience in research methods and academic writing

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!
Duration of contract:
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.
The position will be filled from 01.05.2024 to 30.04.2028 for 4 years.

It is that easy to apply:

Curriculum vitae
Letter of Motivation including ideas for a prospective doctoral project proposal
Abstract of master thesis
Degree certificates
List of publications, evidence of teaching experience (if available)

The University of Vienna pursues a non-discriminatory employment policy and attaches great importance to equal opportunities and diversity (http://diversity.univie.ac.at/). The University attaches particular importance to increasing the proportion of women in managerial and academic positions. Where qualifications are equal, preference is given to female applicants.

The candidate who is selected for this position joins the DoCS as a doctoral student member.
For further information please contact Claudia Plant, claudia.plant@univie.ac.at

If you have any questions, please contact:
Claudia Plant
claudia.plant@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: 05/01/2024

Prae Doc