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PhD Position “Big Data Infrastructures” (m/f/d)

Universität St.Gallen
St. Gallen, SG

Jetzt bewerben

Details zur Stelle

100%

Qualifikationen

Betriebssysteme
Doktorat
Spark
R
Englisch
Master
Docker
Bachelor
Linux
Kommunikationsfähigkeit
Python
Deutsch

Vollständige Stellenbeschreibung

PhD Position “Big Data Infrastructures” (m/f/d)

100 % (limited, by 01.09.2025)

Your tasks

You will work on your doctoral thesis in Big Data and its role in Data Science and Machine Learning
You design and conduct research in the field of big data and its infrastructure
You connect scientific findings with industry-specific applications
You support the group in knowledge transfer with the industry in applied projects
You engage in teaching at HSG, including courses and supervision of Master's and Bachelor's theses

Your profile

You have a university-level master's degree in computer science or data science

– Desirable: Excellent if you have previous publications in journals or conferences

You have excellent written and oral communication skills in English

– Desirable: You can communicate in German

You have a strong background in the programming language Python

– Desirable: Excellent if you have experience training your machine learning models (e.g., Scikit-Learn, Keras, Jax, TensorFlow, PyTorch)

You have experience in statistics and linear algebra

You have a basic understanding of Linux-based operating systems

– Desirable: Very good if you already have experience with deploying models in Docker or similar containers and knowledge about High-Performance Computing

You have a good knowledge of the big data workflow

– Desirable: Excellent if you have experience with frameworks such as Apache Spark and distributed databases

You have an independent and structured way of working, with the ability to manage your time effectively

You enjoy hands-on work and prototyping with real-world applications and data

You enjoy being part of a teaching team in various computer science-related courses

The Institute of Computer Science in Vorarlberg (ICV-HSG) in Dornbin (Austria) is advancing in Big Data and its application for Data Science, Machine Learning, and Artificial Intelligence.

We offer:

A fully funded position during the entire PhD at the ICV-HSG campus, located in Dornbirn, Austria
A competitive salary aligned with Austrian universities
Support for commuting between the Dornbirn and HSG campus in St.Gallen
Full support and guidance during your PhD journey

Application Instructions:
Please include the following documents in your application:

A cover letter that provides details on your relevant skills as well as your motivation for the advertised position
Grade transcripts from your bachelor's and master's degrees
One or two pieces of written work (e.g., your Master's thesis)

Contact: [email protected]

We are looking forward to your online-application stating the job ID 1537

apply here

Inspirational Work Environment

Executive Education

Network

Family & Career

Equal Opportunities

Fit and Healthy

Further information on working at the HSG can be found here.

For job-related questions

Dr. Bernhard Bermeitinger
Project Manager für Big Data Infrastructures

Prof. Dr. Stephan Aier
Director ICV-HSG GmbH

Your place of work

University of St.Gallen

«A place where knowledge is created» - As one of Europe's leading universities of economics and business administration, the University of St.Gallen (HSG), Switzerland, is committed to the education of over 10'000 students. The HSG is one of the largest employers in the region and provides an attractive and innovative environment for more than 3'500 researchers, educators and professional staff.

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Ich möchte aktuelle Job-E-Mails für Stellen als executive assistant erhalten

Weitere Job-Standorte erkunden

PhD Position “Big Data Infrastructures” (m/f/d)

Your tasks

Your profile

Inspirational Work Environment

Executive Education

Network

Family & Career

Equal Opportunities

Fit and Healthy

For job-related questions

Your place of work

University of St.Gallen

Other Jobs

Data Science Research Assistant / Data Lake Engineer (m/f/d)

Seminarmanagement (m/w/d)

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