University assistant predoctoral

Farkas Kiss Endre legjobb állása Universität Wien

Bewerbung fur Datenmanager*in

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, more than 10,000 people work together towards answering the big questions of the future. Around 7,500 of them are scientists who, with their curiosity and continuous demand for excellence, conduct top-level international research and teaching. Are you also looking for the right space to develop your potential? We are seeking a/an

University assistant predoctoral
37 Faculty of Business, Economics and Statistics
Job vacancy starting: 09/04/2023 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc)
Limited contract until:
Job ID: 1070

Your position:
The Department of Business Decisions and Analytics (working group Ass.-Prof. Dr. Tilk) at the University of Vienna is offering the position of a Research Assistant (Praedoc level, 75%) in the FWF-funded project Maschinelles Lernen in BPC für Tourenplanungsprobleme. The position is offered for 2 years with 30 weekly working hours (continuing employment is possible). This includes the offer to conduct a dissertation in the research field. Salary scheme according to the Collective Bargaining Agreement for University Staff (Group B1, 75%).

Your future tasks:
The project investigates the integration of Machine Learning into Operations Research methods to solve combinatorial optimization problems. The focus of the project is on the exact solution of vehicle routing problems. The developed methods are implemented (i.e., coded) for specific applications and their benefit is evaluated in computational studies.

Your profile:

Master's degree (or equivalent) in management, economics, mathematics, computer science or industrial engineering.
Thesis written in Machine Learning, Operations Research, or in a closely related field.
Experience in the application of Machine Learning methods.
Knowledge in discrete optimization and Operations Research.
Proficiency in written and spoken English.
Experience in development and implementation of decision support tools, in particular the usage of Machine Learning tools and/or the implementation of Operations Research methods (e.g., in C, C++, Python or Java).
The ability to explain complex facts in an understandable way and to work independently as well as in a team.

What we offer:

Collaboration in a fascinating FWF-funded project.
The possibility of attending international scientific workshops and conferences.
An open working atmosphere with well-equipped workplaces.
The possibility to write a dissertation.

Your application:
Please send your application including cover letter, curriculum vitae, degree and job certificates, and an electronic copy of your master thesis about our job portal.

If you have any questions, please contact:
Christian Tilk
christian.tilk@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: 09/18/2023

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