Job Description
The intern will research on state of the art human face modeling methods, and apply the results on virtual visor prototype for its functionality. Careful validate and test the results. Documentation and presentation of results and a report that is ready for publication at a computer vision conference/journal.
Qualifications
REQUIRED QUALIFICATION:
· Currently pursuing MS or PhD in Statistics, Computer Science or a related technical field.
· Strong foundations in machine learning and computer vision.
· Proficient in programming in python / R or other numerical computing languages.
· Good coding practices, ability to write efficient, readable and error free code.
· Be enthusiastic and able to collaborate in a team environment.
· Ability to translate technical concepts into simple to understand, communicable ideas.
· Curious and passionate about learning everything.
DESIRED QUALIFICATION:
· Previous publication on top tier computer vision conferences such as CVPR, ICCV, ECCV
Additional Information
By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.
BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives