Lab website: http://www.compscience.org/Relevant References: https://scholar.google.es/citations?hl=en&user=-_kX4kMAAAAJ&view_op=list_works&sortby=pubdate
Aim:This project aims to develop machine learning models in physics and chemistry applied to structural biology, drug discovery and computational biology.
We expect the candidate to participate in the development of machine learning, GPUs and distributed computing. By working in this project, the researcher will have access to state of the art computational project like GPUGRID.net. This project is expected to lead next generation codes that are transformative in the field and publishable in the highest impact scientific journals. There will be ample opportunities to present his/her work at international meetings and conferences and to collaborate with other research groups in USA and Europe.
Location:Barcelona, Spain, Barcelona Biomedical Research park. The laboratory is part of the Barcelona Biomedical Research Park which, with a privileged location on the shoreline of the Mediterranean sea, constitutes one of the most exciting interdisciplinary research centres in Southern Europe with more than 1000 scientists in the building alone.
Candidate Profile:The candidate will preferably have a profile in physics, mathematics, chemistry, computer science and engineering. We seek exceptional candidates with a passion for physics, programming and computing, the capability to think out of the box, the ambition to work in very innovative projects and very good communication skills in English. Some experience in machine learning and simulation methods, Python, CUDA, C++ is desirable. This is a strongly computational position, so we encourage application of people that love algorithms, computing and programming.
Facilities:The candidate will be able to use http://www.gpugrid.net, one of the largest volunteer computing project worldwide with thousands of GPUs. The laboratory is very well equipped with access to a local GPU and CPU cluster, hundreds of TB of storage and experimental facilities.
Project and Institution that finance the contract:The work is supported by grant: AEI-BIO2017-82628-P (FEDER/UE) DE FABRITIIS from the Spanish Ministry of Economy (MINECO), FEDER and Agencia Estatal de Investigación sources.
Official reference number:AEI-BIO2017-82628-P (Aplicación de métodos de aprendizaje automático y de aumento de datos en el estudio de la conformación proteica y el reconocimiento molecular para el desarrollo de fármacos)
**Eligibility:**Interested candidates should apply by completing the form below.
Deadline: March 2019