Ph.D. position is available at the Department of Electronics and Communication Engineering, SRM University in Signal Processing and Machine Learning SRM. Applications are invited for Ph.D. in Signal Processing and Machine Learning under the following Science and Engineering Research Board (SERB), Govt. of India.
Project Summary
The seismic data contain information about the earth’s sub-surface layer and some unwanted noise. The earth layer information is useful for the identification of mineral, hydrocarbon, water, etc. To obtain the earth layer information from the seismic data, the deconvolution and denoising are the key steps in the seismic data processing. The objective of this project is to develop a method for deconvolution and denoising based on signal processing and machine learning techniques. Some of the latest techniques used in signal processing include Convex optimization, Dictionary learning techniques, EMD, Machine learning, Blind source separation, Wavelet/EMD methods, Blind system identification, etc., for denoising and deconvolution.
Principal Investigator: Dr. Karthikeyan
Required Eligibility:
- GATE/CSIR-UGC NET qualified
- Tech. graduates in Electronics and Communication Systems/ Communication Engineering/Signal Processing/ Machine Learning.
- Emoluments and Duration: Rs. 31,000 + HRA per month, duration: 3 years
- Interested applicants may apply with your CV by sending an email to Dr. Karthikeyan (karthikeyan.e@srmap.edu.in).
- Note: Please mention the Ph.D. position –SERB project in the subject line of the email.
- Shortlisted candidates will be called for the personal interview at SRM University-AP, Amaravati. TA/DA will be provided to the selected candidates.
Highlights
Type of Position |
Ph.D. Positions |
Subjects | Electronics and Communication Systems, Communication Engineering,
Signal Processing, Machine Learning |
Closing date | Until filled |
Contact |
Dr. Karthikeyan karthikeyan.e@srmap.edu.in Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh – 522502 |