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University of Applied Sciences and Arts Northwestern Switzerland

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Research Associate in Data Science and Quantitative Social Network Analysis University of Applied Sciences and Arts Northwestern Switzerland in Switzerland

Degree Level

not provided

Field of study

Computer Science

Funding

Available

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Country

Switzerland

University

University of Applied Sciences and Arts Northwestern Switzerland

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Keywords

Computer Science
Data Science
Mathematics
Network Analysis
Python Programming
Gaussian Processes
Statistics
Applied Mathematic
ML

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About this position

The University of Applied Sciences and Arts Northwestern Switzerland (FHNW) is seeking a Research Associate in Data Science for its Institute for Competitiveness and Communication, within the Competence Center for Social Network Analysis.

The role focuses on primarily quantitative research and service projects connecting teaching, research and practice. The successful researcher will contribute to literature research, data analysis, statistical modeling, machine learning model training and software development. The work may involve quantitative methods such as Gaussian Processes and Bayesian Optimization, with programming carried out in Python and/or R.

In addition to research and service-project activities, the position includes administrative and organizational support for project managers, participation in client projects and assistance with day-to-day operations. The research associate will also support teaching, particularly by supervising student work and helping transfer knowledge between teaching and professional practice.

The position is based at FHNW’s School of Business in Olten and offers participation in a networked, dynamic and internationally oriented environment that values practical experience, appreciation and collaboration across teaching, research and practice.

Funding details

Available

What's required

A master's degree in Computer Science, Statistics, Applied Mathematics, Physics or a similar field is required. Applicants should have excellent knowledge of quantitative methods, ideally including Gaussian Processes and Bayesian Optimization; good programming skills in Python and/or R; several years of professional experience after completing a bachelor's degree; and excellent written and spoken German and English. The profile also calls for a customer-oriented, highly motivated and reliable person.

How to apply

Apply online through the official application portal. The position starts on January 1, 2027, or by arrangement.

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