Call for Proposals for Research and Innovation Grants in Computational Modelling and Materials Science Grants 2023/2024

  • Posted on: 25 May 2023
  • By: KENET

The Computational Modeling and Materials Science (CMMS) is a special interest group supported by KENET to enhance research capacity development in the use of computational modeling in science and technology. Research work is expected to involve university faculty and graduate students in Biology, Chemistry, Physics and the Environmental sciences but strongly welcomes those from other basic and applied sciences. To increase research output directly or by complementing the existing limited work from groups with standard experimental infrastructure, CMMS has embraced computational modeling which is now considered as an important decision support tool in science and technology as well as product development. In this regard, CMMS targets training of graduate students as well as young and upcoming faculty in universities, research institutions and industry.

KENET has provided CMMS with  Four (4) grants of Ksh 1.5 Million each, to be awarded competitively in the following computational modeling themes:

1. Bioinformatics and Biochemistry applications.

2. Earth observation science and technology.

3. Materials for energy conversion using basic and applied sciences


This call is open to computational modeling 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 5 years, and must demonstrate active research interest. Those recently awarded grants from the Computer Science and Information Systems (CSIS), CMMS and Engineering are not eligible to apply. Candidates who have received their PhD from Kenyan institutions may have an added advantage where applicable.

Concept Note Submission

Concept notes with all supporting documentation should be sent via email to by 14th July 2023, 5.00PM EAT.

Enquiries and applicant support

All enquiries and requests for further information related to this call should be addressed to