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

Responsibilities

• 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.

• 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, Tensor Flow, 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.

• A fully funded position for 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.

Please include the following documents in your application:

• A cover letter that details your relevant skills and motivations 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

We are looking forward to your online application stating the job  here.