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Job Location | Bangalore |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Consumer Durables / Electronics |
Functional Area | General / Other Software |
EmploymentType | Full-time |
Title: Sr Engineer - Healthcare Image Analytics Role Summary/Purpose: Looking for topnotch researchers to be part of this exciting journey. Innovate and execute on the R&D strategy around image analytics aligned with the Health care businessinitiatives in a broad set of areas (Patient monitoring, MRI, CT, Ultrasound, X-Ray, Cell therapy,Molecular Diagnostics, etc.) & drive cutting edge research in core imaging and signal processingproblems. Essential Responsibilities : The Artificial Intelligence Lab is focused on signal and image processing forUltrasound, MRI, CT, X-ray and Physiological Monitoring data as well as real time image analysisfor industrial applications. The candidate should be highly passionate and an enthusiastic playerfor solving problems in medical imaging by building and implementing algorithms for imageprocessing, machine learning, and deep learning. The candidate should have proven researchexperience in the areas of image analytics & signal processing with a strong mathematical skillsand ability to connect the physics with advances in Artificial Intelligence techniques. The candidateis expected to document results in patent disclosures and high-quality peer reviewed publications. Must be eager to work in a global team of experienced and dynamic researchers to develop nextgeneration biomedical breakthroughs. He/she should be a good team player and willing to getinvolved into interdisciplinary research. Required Candidate profile -PhD in Electrical Engineering/Electronics and communication engineering/Computerscience/Biomedical engineering with specialization in image processing, signal processing, or inverse problems. The Masters candidate with proven research credentials in the fields of AI are also highly encouraged to apply. Specific areas of expertise desired are: Medical Image analytics, Inverse problems in Imaging, Clinical decisioning, super resolution reconstruction.-Expertise in at least one of C, C++, Python or Java/Strong foundations in design, analysis, and implementation of algorithms. Basic understanding of machine learning, computer vision or deep learning is preferred./Basic understanding of medical imaging or biology is desirable but not necessary ,
Keyskills :
cell therapydeep learning computer visionmedical imaging digital imagingmachine learning image processinginverse problems