PhD Position in Machine Learning Systems Data Science (m/w/d)
PhD Position in Machine Learning Systems Data Science (m/w/d)
PhD Position in Machine Learning Systems Data Science (m/w/d)
PhD Position in Machine Learning Systems Data Science (m/w/d)
Universität St.Gallen
Pharma, Medizintechnik
St. Gallen
- Art der Beschäftigung: Vollzeit
- 92.000 CHF – 119.000 CHF (von XING geschätzt)
- Vor Ort
- Zu den Ersten gehören
PhD Position in Machine Learning Systems Data Science (m/w/d)
Über diesen Job
PhD Position in Machine Learning Systems & Data Science (m/w/d)
100 %
(permanent employment contract, starting on 01.03.2026)
Your tasks
You will work on your doctoral thesis in a dynamic environment where scientific rigor meets practical relevance. Your goal is not just to apply existing tools, but to advance the field of Machine Learning Systems and Data Science by deriving generalizable insights from complex, real-world data.
- 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.
Your profile
You have a strong analytical mindset and a passion for technology. You enjoy getting your hands dirty with code and data, but you are equally driven by the desire to understand the Why and How behind the algorithms.
- 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.
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:
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.
- Mentorship: Comprehensive academic guidance throughout your PhD journey by Senior Lecturers and Professors.
- 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 (bernhard.bermeitinger@unisg.ch)
We are looking forward to your online-application stating the job ID 2682
