Research Summer Intern-Technologies for Cognitive IoT

Job description

IBM Research is seeking Summer Intern candidates to work at its T. J. Watson Center in Yorktown Heights, NY.

The Technologies for Cognitive IoT department's mission involves hardware development, hardware-software integration, algorithm design and development, systems and technologies for cognitive data streams of the IoT.

You will work alongside a team of scientists and engineers to design, prototype, test, and iterate on software and hardware technologies aimed at the data interpretation and conveying insight.

Candidates pursuing an undergraduate degree in Computer Science, Computer Engineering, Mathematics, Physics or a related area are preferred.

The World is Our Laboratory: No matter where discovery takes place, IBM researchers push the boundaries of science, technology and business to make the world work better. IBM Research is a global community of forward-thinkers working towards a common goal: progress.

Auto req ID

92554BR
Country

United States
Required Education

High School Diploma/GED
Role ( Job Role )

Student/Intern
State / Province

NEW YORK
Primary job category

Other
Contract type

Internship
Employment Type

Full-Time
Is this role a commissionable/sales incentive based position?

No
Travel Required

No Travel
IBM Business Group

Research
Preferred Education

None
City / Township / Village

YORKTOWN HEIGHTS
EO Statement

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Required Technical and Professional Expertise

·  Experience in general programming skills in one or more of these languages: Java, Javascript, Python, C++, Node.js, LISP
·  Demonstrated communication skills
·  Team building approach to working
·  Theoretical or experiential knowledge of Software engineering practices including agile processes

Country

United States
Preferred Technical and Professional Experience

·  Usage of machine learning environments (e.g., R, scikit-learn, Theano, Torch, etc.)
·  Experience in Data Mining/Automated Knowledge Acquisition, Representation & Reasoning
·  Experience in Characterization and validation of cognitive systems via User studies
·  Background in electrical engineering, analytics as applied to physical systems, and control theory
·  Prototyping of hardware-software integration problems

Secondary Job Category

Unassigned
Eligibility Requirements

·  None
New Collar Role

Yes