Project Scientist I /ICMR/CBCMT/Dr. Arunkumar Pitchaimani

Job Summary

Applications are invited for the post of Project Scientist I-Biomedical Engineer (Hardware Software) for the Indian Council of Medical Research (ICMR) funded IIRP project in the Centre for Biomaterials, Cellular and Molecular Theranostics (CBCMT), at Vellore.

Title of the Project

Droplet-Microfluidic-based High-throughput 3-Dimensional Organoid Generator for Advanced Drug Screening Applications

Qualification

• Bachelor's/Master's degree in Biomedical, Electronics and Communications, Electrical and Electronics, Mechanical, Mechatronics, Instrumentation Engineering, Computer Science, or a closely related discipline, from a recognised institution.
• A minimum of two (2) years of professional or research experience in the design and development of biomedical devices, scientific or precision instrumentation.
• Demonstrable hands-on experience across hardware AND software, evidenced by devices, prototypes, publications, patents or code repositories the candidate can defend in interview.
• Age limit as per ICMR and funding-agency norms, with relaxation for reserved categories as per Government of India rules.

Hardware Engineering

• 3D CAD modelling and preparation of 2D engineering drawings (SolidWorks, Fusion 360, Creo, Inventor or equivalent).
• Analog and digital circuit design, schematic capture and PCB layout (KiCad, Altium, Eagle or equivalent).
• Practical bench skills - soldering and rework, oscilloscope, multimeter and bench power supply - and systematic debugging: isolating a fault to a subsystem and proving the diagnosis.
• Sensor selection, signal conditioning and integration; prototyping by 3D printing and machining; mechanical assembly and alignment.

Software and Programming

• Strong programming ability in Python, including NumPy and the scientific computing stack.
• Practical image processing and computer vision with OpenCV - thresholding and adaptive segmentation, morphological operations, contour detection and measurement, and object tracking.
• Embedded programming in C/C++ or MicroPython on a microcontroller platform (Arduino, STM32, ESP32 or similar).
• Competence on Linux, including the command line and single-board computers such as the Raspberry Pi; Git, and the discipline to write readable, documented, maintainable code.

Artificial Intelligence and Machine Learning

• Working knowledge of deep learning for computer vision, with the practical ability to train, fine-tune and evaluate a model end to end - not only to call a pre-trained one.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.