Qualifications:
- BTech or MTech Signal Processing/ CS/ EE/Biomedical with 0-2 years experience
Skills
Strong foundation in:
- Signal/Image Processing & Signals and Systems
- Embedded Systems
- Linear Algebra, Optimization, and Inverse Problems
- Good understanding of MRI physics (k-space, encoding, gradients, sequences)
- Proficiency in Python and C++
- Experience writing clean, modular, and efficient code
Main Responsibilities:
- Develop and optimize image processing and reconstruction algorithms for MRI, with a focus on artifact correction (motion, noise, undersampling, etc.)
- Formulate and solve inverse problems for MRI reconstruction using physics-based and data-driven techniques
- Design computationally efficient, scalable, and production-ready implementations
- Collaborate with cross-functional teams (sequence design, system engineering, clinical teams)
- Implement and validate algorithms for real-time or near real-time deployment on MRI systems
- Develop and execute test plans, validation pipelines, and performance benchmarks
- Contribute to software lifecycle processes (SDLC) including documentation, testing, and release