|Title: Computer Vision Research Intern||Posted: January 18, 2016|
|Company/Institution: Xerox Research Centre Europe|
|Location: Grenoble, France|
|Department: Computer Vision|
Description: This internship will involve investigating salient object detection techniques in the context of object detection and tracking. The successful applicant will be given the freedom and flexibility to explore his/her solutions, and will also have the guidance and support of experienced full-time Xerox researchers that work on this topic.
- Enrollment in a graduate program (PhD program is a plus)
- Strong knowledge in computer vision and in machine learning
- Strong development skills in either C/C++, Matlab, or Python
- Fluent in written and oral English
- Highly motivated
About XRCE: Xerox Research Centre Europe (XRCE) is a young, dynamic research organization, which creates innovative technologies to support growth in Xerox business process outsourcing and document management services businesses. Our domains of research stretch from the social sciences to computer science. We have renowned expertise in machine learning, natural language processing, computer vision, ethnography and services computing.
XRCE is part of the Xerox Innovation group made up of 650 researchers and engineers in four world-renowned research and technology centres. Our goal is to make Xerox a great place to work. Through a comprehensive set of employee-focused initiatives, we promote diversity by nurturing a culture of inclusion and opportunity, and through measurable actions.
Xerox complies with Equal Employment Opportunity (EEO) guidelines. Xerox does not discriminate on the basis of race, colour, religious belief, sex, age, national origin, citizenship status, marital status, union status, sexual orientation, gender identity or individuals with a disability. Our main building is compliant with the AGEFIPH standards for disabled access.
Application Instructions: Please send your CV, cover letter, and the name of at least one reference to both email@example.com and firstname.lastname@example.org. Women candidates are particularly encouraged to apply.