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Lead Scientist Job
Date: May 4, 2013
Location: Bangalore, India
|Business Segment:||Global Research|
|About Us:||GE Global Research (GRC) is the central research arm for the GE company and is one of the oldest and most diverse industrial research labs. It performs strategic and longer-term R&D for all GE businesses, in addition to providing technology development and R&D support for new product introduction. It employs roughly 2,000 employees at five global locations in almost every scientific and engineering discipline.|
GRC has played a central role in the growth and expansion of the Healthcare business through breakthrough innovation and critical technology development. From the invention of the first practical x-ray tube, the first
1.5T clinical MR scanner, the first digital x-ray imager and numerous inventions in MRI, CT and ultrasound to more recent programs in areas such as physiological monitoring, cell therapy technologies and molecular pathology, GRC has often laid the technology foundation for the growth of GE Healthcare. GRC also plays a central role in identifying adjacent spaces for business growth and often spearheads technology development in these spaces to establish a footprint for the business.
Personalization in healthcare has been identified as a key growth area for GE Healthcare (GEHC) and GRC is playing a key role in this regard. There are on-going, multi-disciplinary programs in digital and molecular pathology, tissue imaging, circulating tumor cells, diagnostic gene sequencing, diagnostic imaging (MRI, CT, PET, Ultrasound), physiological monitoring (ECG, US, EEG, etc.) and informatics approaches to identify clinically relevant biosignatures. Biomedical signal processing will play a central role in this initiative with breakthroughs resulting in novel, portable imaging modalities for many applications including tissue characterization, and instrument design and development for gathering and analyzing physiological data for patient care and life support solutions. Signal processing also plays a key role in emerging applications of next generation CT, MRI and Ultrasound imaging. Markers generated by signal processing and image analysis algorithms will feed into biosignature algorithms along with –omics data to answer biological questions such as risk of cardiovascular disease, recurrence of cancer, etc.
|Posted Position Title:||Lead Scientist|
|Function Segment:||Research - Mathematical Science and Statistics|
|U.S. State, China or Canada Provinces:|
|Role Summary/Purpose:||The Biomedical Signal Analysis Lab at the GE Global Research Center, Bangalore, India, is focused on signal and image processing for Ultrasound and Physiological Monitoring. We are looking for bright researchers to join our world-class talented team and create technologies for healthier tomorrow.|
|Essential Responsibilities:||We have openings for Scientists/ Engineers with proven research experience in the area of signal processing. The candidate should lead high impactful technologies/signal processing domains via independent contributions and mentoring. The candidate will be responsible for algorithm design and development, and should leverage technical experience to ensure success of projects. The candidate will assist in driving the innovation roadmap for the organization, identify new biomedical signal processing areas, collaborate across organizations/disciplines and create new opportunities.|
The candidate is expected to document results in patent disclosures and high quality peer reviewed publications and must be eager to work in a global team of experienced and dynamic researchers to develop next generation breakthrough technology. He/she should be a good team player and willing to get involved into interdisciplinary research.
- PhD in Electrical Engineering / Electronics and communication engineering / Computer science / Biomedical engineering / Applied Physics / Applied Maths
- Deep knowledge of signal processing algorithms
- Legal authorization to work in India is required
|Additional Eligibility Qualifications:|
|Desired Characteristics:||It is desirable that candidate has understanding of analysis of physiological parameters/Inverse problems in Imaging/Ultrasound signal processing/Clinical decision making/De-noising and System level thinking. The understanding of ultrasound systems & imaging chain its use in clinical environments is a plus. Outstanding fresh PhD candidates with proven research credentials are also highly encouraged to apply.|
Job Segments: Scientific, Pathology, Physiology, Medical Technologist, Scientist, Engineering, Healthcare, Science
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