[SDSC 5th call for Collaborative Data Science Projects | Research funding ]
The Swiss Data Science Center (SDSC) offers project grants for interdisciplinary research for researchers employed by an institution of the ETH Domain (Eawag, Empa, EPFL, ETH Zürich, PSI, WSL).
As one of the Strategic Focus Areas of the ETH Domain, the mission of SDSC is to accelerate the adoption of data science and machine learning techniques within academic disciplines of the ETH Domain, the Swiss academic community at large, and the industrial sector.
The goals of the SDSC Collaborative Data Science Projects are to help researchers and domain experts leverage the state-of-the-art in data science to develop models and analyses to support their research. At the same time, SDSC collaborative schemes aim at supporting the application of techniques developed in research labs working on data science methods to real world scenarios.
Through Collaborative Data Science Projects, the data science team at the SDSC makes available to partnering ETH Domain research teams expertise which broadly covers data science modeling techniques including statistics, statistical signal processing, machine learning, deep learning, and techniques from computer vision, natural language processing and optimization, as well as computational methods for these techniques.
More information about ongoing SDSC Collaborative Data Science Projects at https://datascience.ch/academic-projects/.
The current call distinguishes between two possible tracks for collaborative project proposals:
- the general track, dedicated to Data Science for Domain Science, as in previous years
- the new LSI track, dedicated to Data Science for Large Scale Infrastructures.
The general track welcomes submissions in all applications domains, including environmental sciences, life sciences including biology and medicine, physical and material sciences, as well as economics and social sciences. This year project proposals focusing on Personalized Health (PH), that address clinical research questions, are particularly welcome.
The LSI track is dedicated to Collaborative Data Science projects that are relevant for the design, operation and exploitation of large and complex research infrastructures, technology platforms, sensor networks, and databases, that are operated by PSI, Empa, WSL, or Eawag. Applicants from all institutes in the ETH Domain can apply, as long as the infrastructure is eligible.
- Eligible Principal Investigator (PI) are employed by an institution of the ETH Domain (Eawag, Empa, EPFL, ETHZ, PSI, and WSL).
- PIs are typically Professors and Senior Collaborative Scientists.
- Two-stages application process, with submission of pre-proposals and full proposals (upon invitation).
- Continuation of projects funded by a previous call can be submitted. They are considered as new proposals and subject to the same review criteria as new proposals.
Duration: max. 24 months
Funding: 200’000 - 600’000 CHF (approx. same amount of funding as in previous years for the general track).
- Salary for SDSC technical staff and staff hired in the partnering laboratories. It is expected that the laboratories contribute in kind to the project.
- Compute and Storage Resources
- Travel costs to organize meetings and costs for dissemination of the project results (open access publications, participation to conferences)
Using the Pre-proposal template. Submission through the dedicated website.
Deadline for submission of pre-proposals: 9 July 2021 (23:59 CEST)
Submission of full-proposals (upon invitation): 25 October 2021 (23:59 CEST)
Final decision: 7 February 2022
Expected project start: between March-June 2022
For further information, please have a look at the call webpage, call Documents, or contact the Program Manager at [email protected].