Postdoctoral training opportunity in mathematical/computational modeling of gene drive, mosquito ecology & arbovirus epidemiology at TIGS
Postdoctoral training opportunity in mathematical/computational modeling of gene drive, mosquito ecology & arbovirus epidemiology at the Tata Institute for Genetics and Society, and the University of California Berkeley
The Tata Institute for Genetics and Society (TIGS) is a partnership between the University of California San Diego (UCSD) and the India-based philanthropic Tata Trusts. TIGS is currently funded by a generous gift from the Tata Trusts, which are among India’s oldest, non-sectarian philanthropic organizations that have established several of India’s leading institutions, such as the Indian Institute of Science, Tata Institute of Fundamental Research, Tata Memorial Hospital and many other institutions of national and international importance. The overarching goal of TIGS is to advance global science and technology research in a socially conscious and ethical manner to ultimately find solutions to address some of the world’s most pressing issues, ranging from public health to agriculture.
TIGS-India, a new public charitable Trust, was launched in summer 2017, and operates as a Center within the Stem Cell Science and Regenerative Medicine Institute (inStem) in Bangalore, Karnataka. TIGS-India will work collaboratively with its partner institute, TIGS-UC San Diego to train personnel, advance research, and facilitate the broad applications leveraging the latest genetics technologies for the improvement of human health and agriculture within India, and advancing knowledge in basic sciences.
A fully-funded postdoctoral training opportunity within the Tata Institute for Genetics and Society is immediately available for candidates to study mathematical and computational aspects of gene drive systems in mosquito vectors of malaria, dengue, Chikungunya and Zika virus. Candidates must have a PhD with a strong background in applied mathematics, statistics and/or computer science. Successful candidates will work under the direction of Professor John Marshall (www.MarshallLab.com) at the University of California Berkeley School of Public Health (http://sph.berkeley.edu/).
Possible research activities include:
● Contributing to the development of our gene drive modeling framework, MGDrivE
(Mosquito Gene Drive Explorer, https://marshalllab.github.io/MGDrivE/)
● Adapting this framework to more accurately reflect the ecology of mosquito disease vectors in an Indian setting
● Using online resources such as OpenStreetMaps to characterize relevant landscapes
● Characterizing the epidemiology of mosquito-borne diseases in settings of interest in India
● Working with molecular biologists to model the genetic constructs they are engineering and contribute to experimental design
● Using genomic data to characterize mosquito movement patterns
● Using machine learning alongside satellite and drone images to predict the spatial distribution of productive mosquito habitats