Job Description

• Plan and execute cutting-edge research on innovative user-interaction techniques for image data labeling, with the goal of improving efficiency, accuracy, and ease-of-use for the labeler
• Collaborate with other researchers and engineers to design and test annotation components
• Produce publishable research for leading journals or international conferences

Qualifications

REQUIRED QUALIFICATION

• Pursuing a PhD in human-computer interaction, psychology, cognitive science, or a related field
• Excellent research skills in defining problems, exploring solutions, designing experiments including qualitative and quantitative user studies, and analyzing and presenting results
• A solid understanding of usability principles and evaluation methodologies, including Nielsen’s heuristics, expert analysis, think-aloud, and so forth
• Great interpersonal skills for cross-discipline and cross-culture collaboration

DESIRED QUALIFICATION

• Experience with semantic segmentation data labeling
• Proficiency with Python, Tensor Flow, Keras, Caffe, PyTorch
• Experience with machine learning and computer vision

Additional Information

DURATION: 3 to 6 months

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

• FIRST ROBOTICS (For Inspiration and Recognition of Science and Technology)
• AWIM (A World In Motion)