Funds for High Performance Computing & Networking for UvA Researchers
UvA researchers invited to submit proposals to the High Performance Computing and Networking (HPCN) Fund. The fund aims to make a positive contribution to the UvA’s e-Science infrastructure. Proposals can be submitted for any initiative that would contribute to the availability of HPCN facilities for generic applications. The deadline is 31 May 2018.
HPCN facilities are ICT infrastructure components designed to facilitate research and education and raise them to a higher level. The Faculty of Science administers a HPCN Fund designed to provide the UvA with HPCN facilities and the research community with broad access to relevant expertise.
The aim of the fund is to make a positive contribution to the UvA’s e-Science infrastructure and to make it available to as many members of the university’s academic staff as possible. Another objective is to increase the incoming volume of revenue for e-Science research from indirect government and contract research funding. You are invited to submit proposals based on the call outlined below.
Who can participate? Academic staff employed by the UvA.
For what kinds of projects can proposals be submitted?
Proposals can be submitted for any initiative that would contribute to the availability of HPCN facilities for generic applications. Relevant areas include:
- System design
- Software development
- Hardware development
- Representation of research results
- Seed-matching funds for indirect government and contract funded projects.
More info HERE
From September onwards Amsterdam Data Science will merge media channels with Amsterdam AI. Any online activities you are used to will continue on the Amsterdam AI channels. So please register below to stay up to date!
Amsterdam Data Science is excited to announce the next step in joining forces with Amsterdam AI. Together, we will support Amsterdam’s development as an international hub for Responsible AI.
The UvA Data Science Center is announcing a groundbreaking research program to align artificial intelligence (AI) for the interpretation of video data with human values and ethical principles.