Computer Vision

Team: Computer Vision

Title: Manager/Director(based on experience level)

Responsiblities:

• Investigate and utilize complex engineering and mathematical principles to develop core technologies.
• Contribute to research projects that develop a variety of algorithms and systems in bioinformatics, computer vision, image and video analysis.
• Assess and improve algorithm performance on a variety of platforms.
• Analyze and determine system standards and test procedures.
• Evaluate identifiable factors and demonstrate good judgment in selecting methods and techniques for obtaining solutions.
• Advance the state-of-the-art in the field, including generating patents.
• Prototype and implement image and video analysis product components.
• Work with researchers in global locations to understand algorithm requirements and deliver high-quality solutions.
• Lead a team of researchers

Required Experience:

• Ph.D. Degree in Biomedical/Electrical/Computer Engineering, Computer Science, or Life Science areas
• Strong knowledge of fundamentals in feature extraction, computer vision and image/video analysis, including Deep Learning
• Working knowledge in life science imaging, system biology, or single cell analysis.
• Must be self-motivated and creative, with proven analytical skills, excellent research record, and ability to communicate effectively
• Flexibility and adaptability to work and collaborate with researchers in global locations
• Must be able to travel domestically and internationally if required

Preferred experience:

• Strong theoretical and practical background in Computer Vision, Image and Video analysis, specifically Object Detection, Tracking, Segmentation, Optical Flow, Optimization, Biological Imaging are strong plus
• Proven ability to develop new research ideas as demonstrated by a strong publication record and early developments to the level of a working system prototype is a strong plus
• Excellent programming skills in Python/Matlab or C/C++ is a strong plus
• Solid knowledge on Deep Learning frameworks such as Torch/PyTorch or TensorFlow