Applications are invited for the post of Project Engineer, Which is a temporary Project Position, and involves working on the project “Real-time, Multi-modal Sensor Data Fusion and Deep Learning Techniques for Autonomous Vehicles - Phase 1”.
No. of Post: One
Minimum Qualification: M-Tech in Electrical Engineering, Computer Science, or similar fields.
Desirable skills required:
- A strong interdisciplinary background in science & engineering with solid programming skills.
- Demonstrated ability to carry out independent research and lead projects.
- Experience with computer vision, machine learning, Deep Neural Networks (DNN), and Numerical Optimization.
- Experience with algorithms related to image processing, simultaneous localization and mapping (SLAM), geospatial location, rendering 3D data, computer graphics, etc.
- Knowledge of 3D co-ordinate frames and transformations, vector mathematics, matrix algebra, probabilistic inference and modeling, etc.
- Experience in multiple operating systems and tools/libraries, e.g. Windows, UNIX, Linux; OpenCV, LCM, VX, gsl, git, Make, glibc, gcc, bash, etc.
- Proficiency in writing optimized code in multiple contemporary computer programming languages, e.g., C/C++, PERL, Python, Java, OpenGL, Matlab/Simulink, etc.
- Experience with sensing systems such as cameras, radar, lidar, GPS, IMUs, etc.
- Experience with GPU programming and CUDA platform.
- Familiarity with existing deep learning libraries (e.g. Torch, Theano, Caffe, PyBrain, Neon, etc.)
Salary: Rs: 22000-2200-44000 depending on qualification and experience.
Address: Send the applications along with your resume and supporting documents to:
Dr. Gaurav Pandey
Department of Electrical Engineering
ACES, Room #401A
Indian Institute of Technology Kanpur
Kanpur, Pin -208 016, India
The institute reserves the right to fix suitable criteria for short listing of eligible candidates. Only the shortlisted candidates will be called for the interview. No TA/DA will be paid for attending the test/interview.
Hard copies of the applications must reach the following address on or before 31st October 2016.
(Gaurav Pandey)
Principal Investigator
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