ACADEMIC PROJECTS AND EVENTS

5th Call for Collaborative Data Science Projects

The Swiss Data Science Center (SDSC) offers yearly project grants for employees of an ETH institution, doing interdisciplinary research.

 

SDSC Projects Information Day 2021

SDSC Projects Information Day 2020

SDSC Projects Information Day 2021

SDSC Projects Information Day 2020

  • Submission of pre-proposals:
    July 5 July 9, 2021
  • Invitation to submit full proposals:
    August 9, 2021
  • Submission of full proposals:
    October 25, 2021
  • Final decision on full proposals:
    February 7, 2022
  • Start of projects:
    March-June, 2022

Call Documentation

Data Form

Budget File

Full Proposal Template (Word)

Full Proposal Template (Latex)

Full Proposal Submission

PhD Fellowships

The SDSC funds Fellowships for PhD students currently enrolled at ETH Zürich or EPFL and supervised by Thesis Director from the same institution.

This call primarily targets research groups at EPFL and ETH Zürich that are working on data science and machine learning methods, broadly speaking. We invite proposals for research and development of data science methods, possibly motivated by a real-world use case, that have the potential of broadly enabling the adoption of data science in academia and industry.

Other Links

CONTACT

For more information, please contact Dr. Sofiane Sarni, Program Manager.

Ongoing Projects

ease.ml – integrating AutoML into SDSC Eco-Systems

ease.ml – integrating AutoML into SDSC Eco-Systems

SysGen – Systems Genetics

SysGen – Systems Genetics

Deep-Ephys – Using machine learning for biomarker discovery in human iPSC neuronal networks

Deep-Ephys – Using machine learning for biomarker discovery in human iPSC neuronal networks

RenSho – Creating a comprehensive platform to enhance reproducibility in data-science driven research with Renku and Shogun

RenSho – Creating a comprehensive platform to enhance reproducibility in data-science driven research with Renku and Shogun

EXPECT – EXtending the PrEdiCTability of the Atmosphere over Europe

EXPECT – EXtending the PrEdiCTability of the Atmosphere over Europe

PACMAN – Particle Accelerators and Machine Learning

PACMAN – Particle Accelerators and Machine Learning

DEAPSnow – Improving snow avalanche forecasting by data-driven automated predictions

DEAPSnow – Improving snow avalanche forecasting by data-driven automated predictions

TAPEDA – Towards Automated Post-Earthquake Damage Assessment

TAPEDA – Towards Automated Post-Earthquake Damage Assessment

MSEI – Molecular structure elucidation by integrating different data mining strategies

MSEI – Molecular structure elucidation by integrating different data mining strategies

EconMultiplex – Multiplex Networks in International Trade

EconMultiplex – Multiplex Networks in International Trade

DPPH – Data Protection in Personalized Health (SFA-PHRT)

DPPH – Data Protection in Personalized Health (SFA-PHRT)

DeepMICROIA – Deep learning for TOMCAT imaging

DeepMICROIA – Deep learning for TOMCAT imaging

ACE-DATA – Delivering Added-value To Antarctica

ACE-DATA – Delivering Added-value To Antarctica

iLearn – Interpretable Learning Methods for Immunotherapy

iLearn – Interpretable Learning Methods for Immunotherapy

CarboSense4D – Four-dimensional mapping of carbon dioxide using low-cost sensors, atmospheric transport simulations and machine learning

CarboSense4D – Four-dimensional mapping of carbon dioxide using low-cost sensors, atmospheric transport simulations and machine learning

SPEEDMIND – Improving species biodiversity analyses and citizen science feedback through mining data

SPEEDMIND – Improving species biodiversity analyses and citizen science feedback through mining data

DLOC – Deep Learning for Observational Cosmology

DLOC – Deep Learning for Observational Cosmology

TE4med – Transposcriptome-based identifier for precision medicine

TE4med – Transposcriptome-based identifier for precision medicine

HMP – The Human Measurement Project

HMP – The Human Measurement Project

AADS – Data Science Enabled Acoustic Design

AADS – Data Science Enabled Acoustic Design

BISTOM – Bayesian Parameter Inference for Stochastic Models

BISTOM – Bayesian Parameter Inference for Stochastic Models

DemocraSci – A Research Platform for Data-Driven Democracy Studies in Switzerland

DemocraSci – A Research Platform for Data-Driven Democracy Studies in Switzerland

COMMIT – Context-Aware Mobility Mining Tools

COMMIT – Context-Aware Mobility Mining Tools

Citizen-Controlled – Data Science for Multiple Sclerosis Research

Citizen-Controlled – Data Science for Multiple Sclerosis Research

SecureKG – Security and Privacy of the Data Science Knowledge Graph

SecureKG – Security and Privacy of the Data Science Knowledge Graph

DATALAKES – Data platform and Bayesian forecasting of Swiss lakes

DATALAKES – Data platform and Bayesian forecasting of Swiss lakes

Neuro-Choice – Extracting Neural Activity Signals from Large-scale Calcium Imaging Data

Neuro-Choice – Extracting Neural Activity Signals from Large-scale Calcium Imaging Data

DASH – Data Science-informed attribution of changes in the Hydrological cycle

DASH – Data Science-informed attribution of changes in the Hydrological cycle