Project Associate

Shiv Nadar University; Dadri; On-site; INR 457,000 - 547,000; Full time

Job summary

Shiv Nadar University in Delhi-NCR invites applications for a Project Associate to develop machine learning tools for marine and terrestrial conservation. The project is funded by The Habitats Trust and led by Dr.

Sumit Shekhar in the School of Engineering, CSE department. Qualifications include ME/MTech, BE/BTech or MSc with relevant specializations and NET/GATE where specified; candidates with CSIR/UGC-NET/GATE are encouraged to apply.

Qualifications

• CSIR/UGC-NET/GATE candidates are encouraged to apply.
• ME/MTech: Degree in CSE, ECE, AI, Data Science, or allied fields with at least 60% marks or equivalent CGPA.
• BE/BTech: Degree in CSE, ECE, or IT with at least 60% marks, qualified GATE or a national-level exam, and at least two years of research experience as a JRF or equivalent.
• MSc: Postgraduate degree in Computer Science, Applied Mathematics, Applied Physics, or Data Science with CSIR-UGC NET/GATE qualification and two years of post-master's research experience.

Skills

Underwater video restoration

3D reconstruction

Publications

Education

ME/MTech

BE/BTech

MSc

Tools

Python

C++

CUDA

OpenCV

Open3D

PyTorch

TensorFlow

COLMAP

Job description

• Position: To develop machine learning tools for marine and terrestrial conservation
• Job Id: 3737
• School: School of Engineering (SoE)
• Department: Computer Science & Engineering

Applications are invited for the post of Project Associate in the The Habitats Trust-funded research project entitled “Development of Machine Learning Tools and Techniques for Marine and Terrestrial Conservation” under the supervision of Dr. Sumit Shekhar, Department of Computer Science and Engineering, School of Engineering, Shiv Nadar Institution of Eminence, Delhi-NCR, Uttar Pradesh-201314.

• Candidates with CSIR/UGC-NET/GATE are encouraged to apply.
• M.E./M.Tech: Degree in CSE, ECE, AI, Data Science, or allied branches with at least 60% marks or equivalent CGPA.
• B.E./B.Tech: Degree in CSE, ECE, or IT with at least 60% marks, qualified GATE or a national-level exam, and at least two years of research experience as a JRF or equivalent.
• M.Sc.: Postgraduate degree in Computer Science, Applied Mathematics, Applied Physics, or Data Science with CSIR-UGC NET/GATE qualification and two years of post-master's research experience.

Desirable Technical Skills

• Underwater Video Restoration: Digital image processing, optical flow, underwater dehazing, colour restoration, video frame interpolation, and temporal stabilization.
• 3D Reconstruction: Structure from Motion, Multi-View Stereo, depth estimation, NeRF, 3D Gaussian Splatting, point cloud processing, and mesh generation.
• Software Tools: Python, C++, CUDA, OpenCV, Open3D, PyTorch, TensorFlow, and COLMAP.
• Publications: At least one paper published or accepted in an SCI/Scopus-indexed journal or a leading computer vision conference.

Age Limit

Maximum 30 years as on the last date of application.

Project Duration

Initially 12 months on a temporary basis, with the possibility of extension into a PhD position.

Stipend

INR 45,000 per month (consolidated).