Data Scientist (W/M) — EPFL
NewCHF 51'500 - 88'000
EPFL · Lausanne (VD)
- Location
- Lausanne
- Contract
- full-time
- Posted
- Yesterday
SalaryCHF 51'500 - 88'000
Role overview
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.
- 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.
- Main duties and responsibilities include
- Working on data science projects with collaborators from the academic and public sector
- 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
Main responsibilities
- 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
Key requirements
- 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
Application process
- 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.
- 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
- Please note that we exclusively accept applications submitted through our online application portal.
Contacts
- Applications via email or postal services will not be considered. Questions regarding the posit
Additional details
- See https://datascience.ch/projects for an idea of some of our academic research collaborations.
- 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
- Creative mindset and good concrete problem solving skills A stimulating, dynamic, diverse, and cross-disciplinary environment
- Nice offices located on the EPFL and on the Biopole campuses Professional development
- Possibility to travel and present work in international venues Contract Start Date : 01/08/2025
- Activity Rate : 100.00 Duration: 1 year renewable
- Applications via email or postal services will not be considered. Questions regarding the posit
Notes and original content
- Your profile
- 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
- Creative mindset and good concrete problem solving skills
- Work environment:
- A stimulating, dynamic, diverse, and cross-disciplinary environment
- Nice offices located on the EPFL and on the Biopole campuses
- Professional development
- Possibility to travel and present work in international venues
- Informations
