Extended Call for Proposals: Computational Modelling and Materials Science Grants - 2022/2023
The Computational Modelling and Materials Science (CMMS) is one of the Special Interest Group supported by KENET to enhance research capacity development in the use of computational modelling in science and technology. Research grants support the research projects of early career PhD faculty and researchers in computational biology, chemistry, mathematics, physics, environmental and engineering sciences. In order to increase the research output from research groups with standard experimental infrastructure, CMMS has embraced computational modeling which is now considered an important decision support tool. In this regard, CMMS research team must include graduate students, preferably PhD students. Teams can also include industry researchers working in innovation hubs or startups.
KENET invites proposals from the SIG CMMS in the following focus areas:
1. Modelling in Bioinformatics, Computational Biology and related fields.
2. Materials modelling for energy conversion and related areas.
This call is open to computational modelling and materials science faculty (who are full-time) at any of the KENET member institutions. The lead applicant must be a PhD holder, attained within the last 6 years, and must demonstrate active research interest.
Recent KENET grantees of Computational Modelling and Materials Science (CMMS), Computer Science and Information Systems (CSIS) and Education Technologies and Engineering (ETD) are not eligible to apply.
Concept Note submission
Concept notes with all supporting documentation should be sent via email to email@example.com by April 8, 2022, 11.00PM EAT.
Enquiries and applicant support
All enquiries and requests for further information related to this call should be addressed to firstname.lastname@example.org