|Title: Postdoctoral position in computer vision and machine learning applied to AR in industrial environments.||Posted: June 2, 2016|
|Company/Institution: Université de Lorraine - INRIA|
|Location: Nancy, France|
Description: The Magrit team at Loria – Inria Nancy Grand-Est invites applicants for a postdoctoral position in computer vision and machine learning applied to Augmented Reality in industrial environments.
The successful candidate will work on a project to develop algorithms for object recognition in large-scale industrial environments (factories, vessels, …), with the aim to enrich the operator's field of view with digital information and media. The main issues concern the size of the environment, the nature of the objects (often non textured, highly specular, …), the presence of repeated patterns. Meanwhile, contextual information, 3D models of the objects and/or video sequences showing the objects under different view angles can be exploited.
Applicants should have a Ph.D. in Computer Science. A strong background in machine learning and computer vision, documented by several publications at high-level conferences or journals, is required. Good programming skills in Matlab is a plus.
The Magrit team is part of the Inria Nancy Grand-Est and the Université de Lorraine in France. The group has wide experience in diverse computer vision problems as 3D reconstruction, pose computation and scene recognition applied to augmented reality and medical imaging.
Research at Inria is organized in “project teams” which bring together researchers with complementary skills to focus on specific scientific projects. With this open, agile model, Inria is able to explore original approaches with its partners in industry and academia and provide an efficient response to the multidisciplinary and application challenges of the digital transformation.
1h30 away from Paris by TGV and at the heart of the Greater Region (Belgium, Luxemburg, Germany), the Lorraine region provides a pleasant setting along with a very rich cultural life.
The position is expected to start on 1st October 2016 and will have a duration of 1 year.
Application Instructions: For the internal selection of the candidate, all applicants are invited to submit detailed curriculum vitae, a summary of research interest and a cover letter at
firstname.lastname@example.org and email@example.com, with subject: “[PostDoc AR] Candidate”. Candidates must also provide the name and email address of at least 2 referees.