You are responsible for

• Designing and implementing models and algorithms and conducting their validation

• Knowledge of advanced medical image processing such as model or atlas-based image segmentation, deformable image registration is an added advantage

• Hands-on experience with programming languages such as Python and machine learning frameworks/libraries, tensorflow/pytorch/keras and medical image processing libraries such as ITK

• Good track record of publishing research outcome in top computer vision and medical image processing journals and conferences

• Design, train and deliver custom deep learning models and computer vision algorithms based on clinical requirements (example: anatomy segmentation in medical images, medical image classification).

• Implement, test and validate new algorithms for its use by other teams with good software engineering practices.

• Formulate learning algorithms with diverse data sets and to deploy in various settings (de-centralized, distributed)

• Stay up-to-date with the latest machine learning techniques by reviewing literature, attending conferences etc.,

• Publish research outcome in tier 1 journals and international conferences.

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

Qualification

• M Tech/ MS (by Research) in CS/ Electronics with 8 years + of relevant experience

• PhD with 5+ years or MS with 8+ Years with demonstrated research credentials in the fields of AI and medical image analysis.

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)