PhD Position “Big Data Infrastructures”

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.

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.

• 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