PhD Position in Machine Learning Systems & Data Science (m/w/d)

About the job

The Institute of Computer Science in Vorarlberg (ICV-HSG), a joint initiative with the University of St.Gallen (HSG), acts as a bridge between rigorous academic research and real-world innovation. Located at Campus V in Dornbirn (Austria), we provide an environment where excellence meets entrepreneurial spirit.
We offer:

• Global Networking: We strongly support and fund travel to international top-conferences worldwide to present your work.
• Industry Access: Work directly with innovative companies, giving you access to unique, real-world datasets often unavailable in pure academia.
• Competitive Package: A fully funded position with a salary aligned with Austrian university standards, plus extra compensation for teaching activities at the HSG campus.
• Dual Campus Experience: Your main base is the ICV-HSG in Dornbirn, a hub for technology. You will also be integrated into the University of St.Gallen (HSG), with full support for commuting.
• Prime Location & Lifestyle: Enjoy the high quality of life in the Lake Constance region (Bodensee). Located in the heart of Europe, we offer immediate access to outdoor activities like hiking and winter sports./li>
• Mentorship: Comprehensive academic guidance throughout your PhD journey by Senior Lecturers and Professors.
• Application Instructions: Please include a cover letter detailing your motivation and skills, grade transcripts, and 1-2 samples of written work (e.g., Master's thesis).
• Bernhard Bermeitinger (E-Mail schreiben)

• Research-Driven Innovation: You connect scientific findings with industry-specific applications. You will design and implement novel scalable machine learning architectures in collaboration with leading international companies to validate theoretical concepts.
• Academic Excellence: You design and conduct high-quality research. The clear goal is to publish your findings in top-tier international journals and conferences and contribute to the global academic discourse.
• Project Leadership: You take ownership of research projects, acting as the bridge between abstract methodology and concrete industrial challenges.
• Teaching: You engage in teaching at the School of Computer Science (SCS-HSG) as well as in interdisciplinary foundational courses at the University of St.Gallen, a responsibility that is separately compensated. You also co-supervise Bachelor's and Master's theses and projects with a focus on scientific methodology.

• Education: University-level Master's degree (120 ECTS) in Computer Science, Data Science, or a related field with excellent grades.
• Technical Core: Strong background in Python and deep understanding of ML frameworks (e.g., PyTorch, Keras, Scikit-Learn).
• Methodological Competence: You have a solid theoretical understanding of statistics, linear algebra, and the mechanics of machine learning algorithms.
• Data Proficiency: You are comfortable handling complex datasets. Basic knowledge of data engineering workflows or tools for large-scale data is an advantage, but not a strict requirement.
• Infrastructure Skills: Basic understanding of Linux-based systems. Experience with containerization (Docker) or HPC is a plus.
• Communication: Excellent written and oral communication skills in English for academic writing and presentation. German is desirable but not mandatory.
• Mindset: You have an independent and structured way of working, with the ability to manage your time effectively in an entrepreneurial environment.

"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.