PhD Position “Big Data Infrastructures” (m/f/d)
PhD Position “Big Data Infrastructures” (m/f/d)
PhD Position “Big Data Infrastructures” (m/f/d)
PhD Position “Big Data Infrastructures” (m/f/d)
Universität St.Gallen
Forschung
St. Gallen
- Art der Anstellung: Vollzeit
- 93.500 CHF – 128.000 CHF (von XING geschätzt)
- Vor Ort
PhD Position “Big Data Infrastructures” (m/f/d)
Über diesen Job
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
– 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:
Application Instructions:
Please include the following documents in your application:
Contact: bernhard.bermeitinger@unisg.ch
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: bernhard.bermeitinger@unisg.ch
We are looking forward to your online-application stating the job ID 1537