Job Schedule: Onsite
Sponsorship: Yes
Shape the Future of Mobility at Nissan: Launch Your Career, Drive Innovation
At Nissan, we're not just building cars, we're revolutionizing mobility.
We're a global leader with a heritage of innovation, and we're searching for talented individuals like you to join us on this exciting journey.
We believe that every individual possesses a unique set of skills and passions that can be harnessed to drive innovation and shape the future of the automotive industry.
Our diverse range of program areas and career paths offer exciting opportunities for adventurers like you to embark on a thrilling professional journey.
Learn more about Nissan's future here: https://www.youtube.com/watch?v=EDJ3GVA1QRw
We are currently looking for a Computation Material Science Intern to join our team in Silicon Valley, CA.
The Materials Informatics team brings together a team of computational material science experts with data scientists and experiment teams to accelerate materials development for niche applications.
The focus of the team is towards fundamental research that can be used in improving the performance of key components using advances in Materials.
A Day in the Life: Perform electronic structure computations exploring fundamental mechanisms that explain observed phenomena in experiment Build databases of materials and their properties using a combination of open-source data and in-house computations Conduct extensive descriptive analytics on collected data Analyze, summarize and present research findings and results through presentations, reports/documents and publications Who We're Looking for: Must be currently enrolled in a graduate degree in physics, chemistry, chemical engineering or a related field Minimum 3.0 GPA Advanced Research achievements in scientific papers and patents on related topics Advanced understanding of fundamentals in inorganic/organic chemistry, reaction kinetics, surface reactions Experience with electronic structure computations (e.g., VASP, Gaussian or similar tools) Experience with a wide range of Machine Learning and Statistical Modeling algorithms/techniques Expertise with Python / hands on experience with machine learning frameworks like Tensor Flow, and Python packages for Data Sciences such as Pandas, Scipy, Numpy etc / Matlab Attention to detail, flexibility, creativity, and excellent communication and teamwork skills A strong passion for empirical research and for answering hard questions with data
•Excellent written and verbal communication skill Ability to perform work onsite at The Nissan Innovation Lab in Santa Clara, CA What You'll Look Forward to as a Computation Material Science Intern at Nissan: Connection and Collaboration: We offer Business Synergy Teams (ERGs) and opportunities for our employees to strengthen their relationships and meet people from similar and diverse backgrounds to foster a culture of belonging.
Professional Training and Development: Expand your knowledge and skills through Nissan's rich innovation offerings, seminars, learning platforms and leadership trainings.
The Nissan Leadership Way sets our company way of doing things, with the values underpinning how we can work together to achieve success.
Explore more here: https://www.nissan-global.com/EN/COMPANY/LIFE_AT_NISSAN/
Fuel your career with innovation and purpose by joining Nissan, a company dedicated to enriching other's lives.
Nissan is committed to a drug-free workplace.
All employment is contingent upon successful completion of drug and background screenings in accordance with Nissan policies and as permitted by applicable statutes and regulations.
It is Nissan's policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law.
Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.
Salary Range Estimate: $30/hr-$48/hr.
This compensation range is provided as a reasonable estimate of the salary range for the job's grade level.
Factors that may be used to determine your actual salary may include, among other things, your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.
Santa Clara California United States of America