Job Id: 20200822001
Job Role: AI Resident – Materials Informatics Scientist, Computational Chemistry
Experience: 3+ years
Qualification: Materials Science, Physics, Chemistry, Mechanical Engineering, Metallurgical Engineering or any other allied fields
Job Location: Bangalore
Salary: Best in Industry
Vacancies: Not Mentioned
Job Description Shell Careers Mechanical / Metallurgical Engineer Jobs in Bangalore Hiring For Materials Informatics Scientist in August 2020:
You’ll be helping Shell build an enabling Materials Informatics platform and projects supporting businesses and strategies of Royal Dutch Shell. Your role will focus on building capabilities and skills in Material informatics to solve targeted problems in Shell’s traditional businesses and new areas related to energy transition.
You will develop and use sophisticated data mining, data analytics and machine learning based approaches in conjunction with materials knowledge coming in from multiscale materials modeling and experiments to establish processing-structure-property-performance (PSPP) relationships in materials towards accelerated materials selection/discovery/development. You will develop/apply methods/tools to identify patterns/ features and extract the maximum possible information from high-throughput simulations, experiments and databases (e.g. from analytical characterization data, process data, sensor data etc.). working as an integral member of a diverse global team. You will also be involved in building materials databases integrating Shell’s own data with external data in this space. You will analyze results to clearly identify what worked and what did not. Along with data related issues, you will also report your findings in the context of underlying data generating process i.e. applicable chemical theory and therefore ability to understand the governing chemical rules will be a key skill set.
Qualification and Experience:
PhD or MS with 3+ years relevant experience
Specializing in material informatics with a strong statistics and mathematics foundation from any of the disciplines in Materials Science, Physics, Chemistry, Mechanical engineering, Metallurgical Engineering or any other allied fields with related qualification.
Understanding of chemical properties and knowledge of various databases
Proficiency in R/Python/MATLAB and ML libraries for classification/regression/data cleaning tasks
Experience in any one of the deep learning frameworks (torch, tensorflow etc.) with focus on NLP
Preferable to have understanding of different types of databases, data fetching using api calls, and setting up experimental servers such as flask