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Data Scientist (W/M)

emploi.epfl.ch -
Lausanne, VD

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Details zur Stelle

Befristet
vor 13 Stunden

Qualifikationen

Informatik
Master
Python

Vollständige Stellenbeschreibung

About the Swiss Data Science Center (SDSC)

The Swiss Data Science Center (SDSC) is a national research infrastructure of the ETH domain in data science and artificial intelligence (AI), with EPFL and ETH Zurich as founding partners. Its mandate is to support academic labs, hospitals, industry and public sector stakeholders, including cantonal and federal administrations, through their entire data science journey, from the collection and management of data to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services across domains such as health and biomedical sciences, energy and sustainability, climate and environment, and large-scale scientific infrastructure.

The candidate will be integrated into a dynamic and rich environment, with people from different fields and expertise, and will be part of SDSC's Research team. The Research team at SDSC comprises more than 35 data scientists, seeking to apply novel AI/ML methods to solve real-world problems in the academic and public sectors. See https://datascience.ch/projects for an idea of some of our academic research collaborations.

Mission

As a Data Scientist working in the Research team of the Swiss Data Science Center, you will help researchers and other collaborators in academia or the public sector in Switzerland to leverage state-of-the-art Machine Learning and AI methods. These collaborators encompass various fields and carry out projects involving diverse data (tabular, textual, visual, potentially multi-modal), notably in health and biomedical sciences, climate and environment, energy and sustainability, and social sciences.

This typically involves exchanging actively with collaborators and domain experts to understand the precise desiderata of the project, determining which approaches, formulations, and models are most effective to achieve the desired goals, implementing the corresponding algorithms, performing the evaluation hand-in-hand with collaborators, and releasing open-source code and writing research papers when appropriate.

Main duties and responsibilities include

Working on data science projects with collaborators from the academic and public sector
Engaging with diverse stakeholders, in particular researchers across various domains and other professionals
Preparing scientific publications for top-tier domain conferences and journals in collaboration with Senior Data Scientists
Potentially supervising students at different levels in collaboration with Senior Data Scientists

Your profile

MSc in a Data Science-related field, or in Computer Science with a strong background in Machine Learning and AI
Experience in designing/selecting and training Machine Learning models for different types of data, including tabular, textual, visual, and potentially multi-modal
Proficiency in Python and PyTorch
Experience in applying data science and AI in interdisciplinary research or industrial collaborations
Creative mindset and good concrete problem solving skills

We offer

Work environment:

A stimulating, dynamic, diverse, and cross-disciplinary environment
Nice offices located on the EPFL and on the Biopole campuses

Professional development

Opportunities to broaden your expertise in ML and AI targeted to diverse application domains
Collaborations with experts in both Data Science and domain sciences
Opportunities to publish contributions to research projects in high-impact venues
Possibility to travel and present work in international venues

Informations

Contract Start Date : 01/08/2025

Activity Rate : 100.00

Contract Type: CDD

Duration: 1 year renewable

Reference: 2270

Contact

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Questions regarding the position should be directed to Mathieu Salzmann ([email protected]) or Guillaume Obozinski ([email protected]) (no applications).

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

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