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SUMMARY:[SDSC 5th call for Collaborative Data Science Projects | Research 
 funding ]
DTSTART;VALUE=DATE:20210709
DTSTAMP:20260506T205523Z
UID:6529b4149af49cd746cc74f2581074fbfcf9d4407694c65a639743b5
CATEGORIES:Call for proposal
DESCRIPTION: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).\n\nAs 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 w
 ithin academic disciplines of the ETH Domain\, the Swiss academic communit
 y at large\, and the industrial sector.\n\nThe goals of the SDSC Collabora
 tive Data Science Projects are to help researchers and domain experts leve
 rage the state-of-the-art in data science to develop models and analyses t
 o support their research. At the same time\, SDSC collaborative schemes ai
 m at supporting the application of techniques developed in research labs w
 orking on data science methods to real world scenarios.\n\nThrough Collabo
 rative Data Science Projects\, the data science team at the SDSC makes ava
 ilable to partnering ETH Domain research teams expertise which broadly cov
 ers data science modeling techniques including statistics\, statistical si
 gnal processing\, machine learning\, deep learning\, and techniques from c
 omputer vision\, natural language processing and optimization\, as well as
  computational methods for these techniques.\n\nMore information about ong
 oing SDSC Collaborative Data Science Projects at https://datascience.ch/ac
 ademic-projects/.\n\nThe current call distinguishes between two possible t
 racks for collaborative project proposals:\n\n	the general track\, dedicat
 ed to Data Science for Domain Science\, as in previous years\n	the new LSI
  track\, dedicated to Data Science for Large Scale Infrastructures.\n\n\nT
 he general track welcomes submissions in all applications domains\, includ
 ing environmental sciences\, life sciences including biology and medicine\
 , physical and material sciences\, as well as economics and social science
 s. This year project proposals focusing on Personalized Health (PH)\, that
  address clinical research questions\, are particularly welcome.\n\nThe LS
 I track is dedicated to Collaborative Data Science projects that are relev
 ant for the design\, operation and exploitation of large and complex resea
 rch infrastructures\, technology platforms\, sensor networks\, and databas
 es\, 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.\n\nGeneral conditions:\n\n\n	Eligible Principal Investigator (P
 I) are employed by an institution of the ETH Domain (Eawag\, Empa\, EPFL\,
  ETHZ\, PSI\, and WSL).\n	PIs are typically Professors and Senior Collabor
 ative Scientists.\n	Two-stages application process\, with submission of pr
 e-proposals and full proposals (upon invitation).\n	Continuation of projec
 ts funded by a previous call can be submitted. They are considered as new 
 proposals and subject to the same review criteria as new proposals.\n\n\nD
 uration: max. 24 months\n\nFunding: 200’000 - 600’000 CHF (approx. sam
 e amount of funding as in previous years for the general track).\n\nEligib
 le costs:\n\n\n	Salary for SDSC technical staff and staff hired in the par
 tnering laboratories. It is expected that the laboratories contribute in k
 ind to the project.\n	Compute and Storage Resources\n	Travel costs to orga
 nize meetings and costs for dissemination of the project results (open acc
 ess publications\, participation to conferences)\n\n\nSubmission:\nUsing t
 he Pre-proposal template. Submission through the dedicated website.\n\nTim
 eline:\nDeadline for submission of pre-proposals: 9 July 2021 (23:59 CEST)
 \nSubmission of full-proposals (upon invitation): 25 October 2021 (23:59 C
 EST)\nFinal decision: 7 February 2022\nExpected project start: between Mar
 ch-June 2022\n\nFor further information\, please have a look at the call w
 ebpage\, call Documents\, or contact the Program Manager at program.manage
 r@datascience.ch.
LOCATION:
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