JRF/DST_SERB/SENSE/Dr. Anantha Krishna Chintanpalli
Job Description
Title of the Project
:
EEG-based investigation of the fundamental frequency coding for source segregation in elderly normal-hearing adults.
Qualification
:
First division Master's Degree in Electronics and Communication Engineering or equivalent with specialization in Signal Processing or B.Tech. in ECE/EIE/EEE/ETC from a recognized University or equivalent. Desirable: GATE/NET qualified; however, non-GATE/NET candidates are also encouraged to apply.
Describe if any
Candidates must have strong knowledge of Signal Processing and MATLAB software. Additionally, knowledge of Deep Neural Networks will be given more preference.
The candidate will acquire the neural representations of speech signals using the EEG device from human subjects (younger and older subjects), apply signal processing techniques to these neural representations to test the hypotheses, and will be responsible for writing project reports, papers, and coordinating project activities.
Stipend
:
31,000/- (for starting 6 months) and 35,000 (last year) per month for GATE/NET-qualified candidates.
Sponsoring Agency
:
DST-SERB, Government of India.
Duration
:
1.5 years
Principal Investigator