Principle Research Scientist / R&D Team Leader

Company description:

Do you care about good user experience and great visual design? Are you interested in leading edge computer vision techniques like gaze estimation and facial expressions analysis? Then join Realeyes to help develop groundbreaking user testing tools and interaction technologies for some of the best companies in the world.

Our international team has delivered worldwide biometric studies to the well known brands like Sony, Nokia, IKEA, The New York Times, NBC and many more. We have offices in Boston, London, Budapest and Tallinn.

We are seeking a highly motivated individual to join the Realeyes research and development team. The candidate must have a strong background in computer vision, image processing and 3D modelling. He/she will be playing a leading role in exploring novel techniques of gaze, emotions and gesture tracking.

Key Responsibilities:

• Lead one of the world's top gaze, emotions and gesture tracking research teams
• Investigate, design and test new tracking techniques and algorithms
• Play leading role in deciding on the direction of the research
• Develop contacts and collaborate with leading international research institutions

The ideal candidate should have a PhD degree in computer science or related field, with strong mathematical and software development skills. Good spoken and written English is a must. The candidate should have experience of writing papers for international conferences and journals and be able to work with a diverse group of researchers and developers.

Essential Skills:

• 5+ years of experience in researching and developing computer vision and image processing algorithms using Matlab or Octave (signal processing toolkit) and C/C++ (OpenCV/VXL)
• Extensive experience in gaze tracking and gaze vector computation, head-pose estimation, emotions tracking and/or gesture tracking
• Clear understanding of relevant statistical modelling, such as Active Shape Models (AAM/CLM), Principle Component Analysis, Gaussian Process, Hidden Markov Models, Meanshift, classification and boosting
• Experience with existing face and emotions databases, training database creation, algorithm training framework design and implementation

Desired skills (not required):

• Real-time optimisations using Intel IPP, MKL, Threading Building Blocks, GPGPU
• Camera calibration
• Image and video encoding and decoding
• Image enhancement
• Image feature extraction, target matching and tracking

Further information:

The salary offer is internationally highly competitive and depends on seniority and expertise of the candidate. A successful candidate is furthermore incentivised by a set of company options.

To apply online please send your application letter and CV to Dr. Elnar Hajiyev (elnar.hajiyev@realeyesit.com).