VI

JRF/DST_SERB/SENSE/Dr. Anantha Krishna Chintanpalli

VIT
Vellore1-2 LPA Posted 12 Jun 2025
FULL TIME
Machine Learning
Deep Learning
Natural Language Processing
Tensorflow
Research
+7 more

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

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