Toyota Research Institute of North America, located in Ann Arbor, Michigan,
is seeking a machine learning scientist to support the in-house research
activities. This individual will join a team responsible to develop state-of
-art methodologies for material informatics. The position requires staying
abreast of emerging field of machine learning, performing original research,
publishing/presenting results, involve in collaborative research. Candidate
must be able to work effectively with a diverse group of scientists.
The position is subject to annually contract renewal.
Key Responsibilities:
鈥Develop machine learning models to deal with problems/challenges in
material informatics;
鈥Establish tools to collect and structure materials data and harvest
valuable information subsequently;
鈥Perform text mining from scientific literatures and internal
technical documents;
鈥Frequently communicate with materials scientist within the
organization;
鈥Effectively respond to the challenges emerging in materials project;鈥
Regularly report and present to the research team and managements;
Minimum Requirements:
鈥MS or above degree in Computer Science, Statistics or related
technical field or equivalent practical experience;
鈥Strength with machine learning and text mining techniques;
鈥Fluency in programming languages (Python, C/C , Java);
鈥Hands-on experience with statistical software (R, SAS, Matlab,
Python);
鈥Strong verbal and written communication skills;
鈥Self-motivated, intelligent individual with initiative and drive for
overcoming technical challenges;
Preferred Requirements:
鈥Experience with deep learning techniques;
鈥Experience in projects related to materials science, chemistry and
physics;
鈥Established capability in scientific writing and presentation;
The applicant should send the resume to [email protected] before May 11,
2018.
