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Ten Schools One Goal

The FHNW comprises 10 schools with different specializations. Select a school to see its specific courses, study programmes and information.

FHNW School of Applied Psychology

Applied Psychology

FHNW School of Architecture, Construction and Geomatics

Architecture, Construction and Geomatics

Basel Academy of Art and Design

Art and Design

FHNW School of Business

Business

FHNW School of Computer Science

Computer Science

FHNW School of Engineering and Environment

Engineering and Environment

FHNW School of Life Sciences

Life Sciences

Basel Academy of Music

Music

FHNW School of Education

School of Education

FHNW School of Social Work

Social Work

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Projects

Euclid Space Telescope – dark energy and dark matter, FHNW School of Computer Science

School of Computer Science


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A software infrastructure that enables efficient and robust pipeline processing of the vast amount of data in distributed processing sites.

image-1152-2d748ce931b2d1afad80d1b64eb6c854.jpeg

Testimonial

Objective

Management and distribution of large volumes of space data across a global data network.

Background

Euclid is a space telescope designed to observe the expansion of the Universe. Its mission is to improve our understanding of dark energy and dark matter. The data are collected from the darkest regions of the sky, free from light contamination caused by our galaxy or our solar system.

Euclid will observe approximately ten billion sources of light. The entire survey will consist of hundreds of thousands of images and dozens of petabytes of data. The key challenge is to distribute these vast volumes of data efficiently across a network of ten data centres around the world.


Project details

Type
Research project
Research areas
Astroinformatics and Space Sciences, Data Engineering, High-Performance Computing (HPC)
Topics
Informatik und Data Science, Data Science und Engineering, Artificial Intelligence und Machine Learning
University
FHNW School of Computer Science / Institute of Data Science
Funding
Europäische Raumfahrtagentur ESA, Prodex
Management
Prof. Dr. Martin Melchior

Contact us

For further information about the FHNW School of Computer Science or to discuss potential collaboration opportunities, please contact us.

Martin Melchior

Prof. Dr. Martin Melchior

Lecturer for Data Science
Phone
+41 56 202 77 07 (Direct)
E-Mail
martin.melchior@fhnw.ch

Further Projects

kennwerte.ch: Web application for estimating construction costs

kennwerte.ch: Web application for estimating construction costs

An innovative solution for the estimation of characteristic values for the construction and real estate industry for the start-up company ‘kennwerte ag’.
Institute
Institute of Data Science
Research field
Information Processing
DrugSafety: Semi-automated reporting of side effects of drugs

DrugSafety: Semi-automated reporting of side effects of drugs

A system for extracting relevant information from medical reports in order to report side effects of drugs semi-automatically to the responsible authorities.
Institute
Institute of Data Science
Research field
Information Processing
SySTEM2020: Connecting Science Learning Outside The Classroom

SySTEM2020: Connecting Science Learning Outside The Classroom

Research participant recruitment, data collection and mapping STEAM initiatives in Switzerland.
Institute
Institute of Data Science
IRIS Big Data

IRIS Big Data

Machine learning methodology to detect, analyse and possibly predict solar flares from data provided by NASA's space telescope IRIS.
Institute
Institute of Data Science
Research field
Image Processing & Computer Vision, Astroinformatics and Space Sciences
1…

School of
Computer Science FHNW University of Applied Sciences and Arts Northwestern Switzerland

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