PhD Position in Machine Learning Systems & Data Science (m/w/d)
Universität St.Gallen —St. Gallen, SG
- 100%
- Dottorato
- Capacità di scrittura
- Inglese
CGS Account Officer
Coface —Zurigo, ZH
- 100%
- Parzialmente remoto
- Software CRM
- Inglese
- Microsoft Office
Candidatura rapida
Business Risk Manager – Global Products & Solutions (GPS) 80% - 100% (f/m/d)
Julius Baer —Zurigo, ZH
- SQL
- Competenze analitiche
- Bachelor
9 giorni
Director, Platform and Integration Lead
Blockstream —Zurigo, ZH
- 100%
- Gestionale
- Inglese
- Contabilità
Candidatura rapida
Head of FCC Territorial Implementation and Host State Relations (SR-SE-2026-125-LD)
CERN —Ginevra, GE
- 100%
- Dottorato
- Inglese
- Ricerca
Candidatura rapida
1 giorno
Automation Engineer/Project Engineer: Digital Manufacturing and Data Lab 100% (a)
Bachem Holding AG —Bubendorf, BL
- 100%
- Ricerca
- Windows
- Bachelor
14 giorni
TREUHÄNDER/IN MIT EIDG. FA - Senior Accountant
IQ-EQ —Zurigo, ZH
- 100%
- Parzialmente remoto
- Inglese
Candidatura rapida
9 giorni

More jobs to discover

Find similar jobs that you might be interested in.

CGS Account Officer
Coface —Zurigo, ZH
High level of personal responsibility and initiative. Instruct back-office teams to issue policies for entities within insured groups and ensure the quality of…
Candidatura rapida

Voglio ricevere gli ultimi avvisi Job Alert per il ruolo di fund administration

Accedendo al tuo account, accetti i Termini di Servizio di SimplyHired e acconsenti alle nostre Norme sui Cookie e sulla Privacy.

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

Universität St.Gallen
St. Gallen, SG

Candidati adesso

Dettagli della posizione

100%

Qualifiche

Dottorato
Capacità di scrittura
R
Inglese
Master
Competenze analitiche
Docker
Bachelor
Linux
Capacità di comunicazione
Conoscenze di meccanica
Python
Tedesco

Descrizione completa della posizione

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:

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.

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 ([email protected])

We are looking forward to your online-application stating the job ID 2682

apply here

Inspirational Work Environment

Executive Education

Network

Family & Career

Equal Opportunities

Fit and Healthy

Further information on working at the HSG can be found here.

For job-related questions

Bernhard Bermeitinger

Stephan Aier

Your place of work

University of St.Gallen

«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.

Other Jobs

Data Science Research Assistant / Data Lake Engineer (m/f/d)

Swiss Institute for International Economics and Applied Economic Research (SIAW-HSG)
50-80%

Seminarmanagement (m/w/d)

Accounting Controlling & Auditing
10-50%

Studentische:r Mitarbeiter:in im HR Learning & Development (m/w/d)

Personal, HR Learning & Development
10-50%

Candidati adesso

Perfeziona la tua ricerca

fund administration offerte

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

CGS Account Officer

Business Risk Manager – Global Products & Solutions (GPS) 80% - 100% (f/m/d)

Director, Platform and Integration Lead

Head of FCC Territorial Implementation and Host State Relations (SR-SE-2026-125-LD)

Automation Engineer/Project Engineer: Digital Manufacturing and Data Lab 100% (a)

TREUHÄNDER/IN MIT EIDG. FA - Senior Accountant

More jobs to discover

Voglio ricevere gli ultimi avvisi Job Alert per il ruolo di fund administration

Related Searches

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

Your tasks

Your profile

Inspirational Work Environment

Executive Education

Network

Family & Career

Equal Opportunities

Fit and Healthy

For job-related questions

Your place of work

University of St.Gallen

Other Jobs

Data Science Research Assistant / Data Lake Engineer (m/f/d)

Seminarmanagement (m/w/d)

Studentische:r Mitarbeiter:in im HR Learning & Development (m/w/d)

Strumenti per chi cerca lavoro

Strumenti Aziende

Visualizza

Resta in contatto