Research Engineer I/II
Bangalore, Karnataka, India
21h ago

Job Description

You are responsible for

Design and develop applications for clinicians to be able to facilitate better decisions on diagnosis and treatment of the patients

Develop and evaluate first-of-kind AI based ultrasound solutions to provide clinical decision support, user guidance, improve clinical workflow and optimize patient outcomes

Develop solutions as per the project plan

Interact with clinical customers to understand their problems, share insights and best practices, and validate prototypes of solutions to assess their value in patient care

Write clinical protocols with the help of clinicians to conduct clinical studies

Contribute to the patent portfolio. Write invention disclosures and (co-)author the final patent application. Publish papers in reputed conferences and journals.

Act as an objective source of information within one's area of technology

You are a part of

Philips Research India provides the front end innovations (research proposals) in healthcare area focusing on emerging market needs especially India.

The innovations include the value propositions, integrated solutions and products that have impact on the targeted end users like specialists, general doctors, healthcare workers, hospital administrators and patients.

The proven propositions are transferred to businesses to be part of their roadmap, which helps in increasing the market share of Philips.

To foster speeding up end-to-end innovation from idea to market, it is essential to manage the entire chain including the front end innovation which includes Exploration and Proof of Concept phases, as well as formal Product Realization.

We partner with global Philips Research labs as well as Healthcare sector & India key market organization.

To succeed in this role, you should have the following skills and experience

minimum of 5 - 7 years relevant experience in design, development, and evaluation of AI based applications in healthcare domain

Experience in Machine Learning, Deep Learning and AI

Experience in computer vision / image / video analytics

Experience in healthcare domain is good to have

Experience in ultrasound is good to have


M Tech / MS (by Research) in CS / Electronics with 5 - 7 years of relevant experience

PhD in CS / Electronics with 0 2 years of experience

Skill Set

Knowledge of analyzing images, videos, time series data

Machine Learning / Statistics concepts : Eg. Neural Networks, Fuzzy Logic, MLP, SVM, Decision trees, Random forests

Deep learning

Programming / Scripting languages :

Python, R, C++ (ITK, VTK), DL (Tensorflow, Pytorch, etc)

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