IIT Hyderabad Recruitment 2023 Application Form

Submit application form before last date for the posts of Junior Research Fellow/Associate/ Project Scientist, Dept. of Electrical Engineering at IIT Hyderabad.

IIT Hyderabad Recruitment 2023: The Indian Institute of Technology Hyderabad (IITH) invites application form to be submitted by the eligible interested candidates for the various post before last date.

IITH has been consistently ranked in the top 15 institutes in India for Engineering according to NIRF making it one of the most coveted schools for science and technology in the country.

Advertisement for the posts of Junior Research Fellow/ Research Associate – I/ Research Associate – II/ Research Associate – III/ Project Scientist – I/ Project Scientist – II, Department of Electrical Engineering at IIT Hyderabad.

IIT Hyderabad Job Vacancy

Indian Institute of Technology (IIT) Hyderabad is inviting eligible applicants to fill-up application form for the post of Junior Research Fellow, Research Associate and Project Scientist. There are total 11 vacancies for the mentioned positions.

Junior Research Fellow

Essential Education Qualification: M.Tech with relevant experience.

Consolidated Pay per month – To be fixed on the basis of the qualification and experience of the selected candidate. ₹31,000 +24%.

AGE: Not exceeding 30 years as on 02.06.2023.

No. of Positions: 02

Work Experience: Working on sensors for real-time applications: synthesis of membrane through conjugated polymer, Polyvinylidene fluoride, and graphene nanomaterials and its detailed structural, chemical and stability studies with material and electrochemical characterization. Sensing simulation and removal of contaminants through electrochemical ways.

Research Associate – I

Essential Education Qualification: PhD with relevant experience.

Consolidated Pay per month – To be fixed on the basis of the qualification and experience of the selected candidate. ₹47,000 +24%.

AGE: Not exceeding 35 years as on 02.06.2023.

No. of Positions: 2

Work Experience: sEMG-based Hand Activity Recognition for Rehabilitation and Prosthetic Applications. Development of sEMG driven hand activity recognition system using a low complex COrdinate Rotation DIgital Computer (CORDIC) based low complex k-means clustering technique for rehabilitative and prosthetic applications.

Development of a soft robotic glove (SRG) capable of effectuating actuation based on the functional requirements of patients with limited grasping abilities. PPG-Based Smart System Development. Develop an AI empowered IoT enabled PPG-based wearable system for obstructive sleep apnea and cardiopulmonary disease detection.

The primary objective of this research work is to develop PPG based AI empowered IoT based wearable system for obstructive sleep apnea and cardiopulmonary disease detection.

Classification of Movements for Prosthetic Hands using sEMS Signals. Our objective is to propose a machine learning based solution for natural control and dexterity of robotic hands via sEMG using a large number of intact subjects and amputees.

Research Associate – II

Essential Education Qualification: PhD with relevant experience.

Consolidated Pay per month – To be fixed on the basis of the qualification and experience of the selected candidate. Scale – ₹49,000 + 24%.

AGE: Not exceeding 35 years as on 02.06.2023.

No. of Positions: 01

Work Experience: Laser modification of glassy carbon electrodes for the enhancement in sensitivity to detect heavy metal ions at low concentrations in
water, improvement of corrosion resistance of low-carbon steel using laser surface patterning.

Working on sensors for complex real-time applications: Novel membrane synthesis through conjugated polymer (PANI), Polyvinylidene fluoride, and graphene nanomaterials and its detailed structural, chemical and stability studies with material and electrochemical characterization. Simultaneous sensing and removal of contaminants through electrochemical ways.

Research Associate – III

Essential Education Qualification: PhD with relevant experience

Consolidated Pay per month – To be fixed on the basis of the qualification and experience of the selected candidate. ₹54,000 + 24%.

AGE: Not exceeding 35 years as on 02.06.2023

No. of Positions: 01

Work Experience: Simulations and analysis for the basic building blocks for the logic functionality; Architecture Design Methodology; Integration and testing logic gates using simulations :-Spintronic devices exploring the spin property of electrons; Nanomagnetic Logic, Skyrmion.

Project Scientist – I

Essential Education Qualification: PhD with relevant experience

Consolidated Pay per month – To be fixed on the basis of the qualification and experience of the selected candidate. ₹57,000 +24%.

AGE: Not exceeding 35 years as on 02.06.2023

No. of Positions: 02

Work Experience: Structural Health Monitoring of ship steel. material characterization and Corrosion Behaviour of Ship steel, Fatigue and Corrosion Fatigue studies, acoustic emission sensors based corrosion fatigue crack detection.

Project Scientist -I

Essential Education Qualification: PhD with relevant experience.

Consolidated Pay per month – To be fixed on the basis of the qualification and experience of the selected candidate. ₹57,000 +24%.

AGE: Not exceeding 40 years as on 02.06.2023.

No. of Positions: 01

Work Experience: sEMG-based Hand Activity Recognition for Rehabilitation and Prosthetic Applications. Development of sEMG driven hand activity recognition system using a low complex cordinate Rotation Digital Computer (CORDIC) based low complex k-means clustering technique for rehabilitative and prosthetic applications.

Development of a soft robotic glove (SRG) capable of effectuating actuation based on the functional requirements of patients with limited grasping abilities. PPG to ECG and PPG-Based Smart System Development. Develop an AI empowered IoT enabled PPG-based wearable system for obstructive sleep aponia and cardiopulmonary disease detection. PPG to ECG reconstruction using deep learning.

Single Lead ECG to 12-Lead ECG reconstruction using ML. The primary objective of this research work is to develop PPG based AI empowered IoT based wearable system for obstructive sleep aponia and cardiopulmonary disease detection.

Classification of Movements for Prosthetic Hands using sEMS Signals. Our objective is to propose a machine learning based solution for natural control and dexterity of robotic hands via sEMG using a large number of intact subjects and amputees.

Intelligent and Proactive RTL Assessment Tool (IP-RAT) Graph Neural Network (GNN) for average power estimation at RTL itself without doing gate level simulation. AI tool development for front-end and back-end IC design flow. Indigenous Solution to Prevent Reverse Engineering Attack on SOC (I-PREVENT). A Deep Learning-based oracle-less attack model for reverse engineering, and ML based age estimation of ICs.

VSP-Vehicle Speed Prediction using ML(Hyundai). Input features are 4 wheel speeds, 4 Wheel Acceleration, Yaw rate and ground truth GPS speed. Road classification with input features from wheel speeds Acceleration, ground truth different road surface data. 360 degree video stitching, stabilization, detection and tracking.

Project Scientist – II

Essential Education Qualification: PhD with relevant experience.

Consolidated Pay per month – To be fixed on the basis of the qualification and experience of the selected candidate. ₹67,000 +24%.

AGE: Not exceeding 40 years as on 02.06.2023

No. of Positions: 02

Work Experience: Computer vision applications like digital Scene Matching Area Correlator (DSMAC), optimisation strategies, execution on embedded hardware, ML and AI algorithms application on DSMAC, network optimisation.

Low complexity, power-efficient and resource constraint VLSI architecture development and System design for digital signal processing applications with focus on various types of Kalman filter and its hardware implementation, Design, implementation and verification of System-on-Chip (SoC) on FPGA, ASIC design & verification. Microcontroller based advanced embedded system design for battery management system in battery energy storage system. Knowledge of different cell chemistry and testing profiles for modelling and testing of cells and battery packs.

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Selection Procedure for IIT Hyderabad Recruitment 2023

As per the official notification for IIT Hyderabad Recruitment 2023, the following are the selection procedure for the posts of Junior Research Fellow, Research Associate and Project Scientist.

  1. Interested applicants should apply online only by 2nd June, 2023, through the online google form https://forms.gle/q7NWPtn3t5BKAiKy7
  2. The candidate will be shortlisted based on the eligibility criteria, academic record, and relevant experience and selected based on the performance in the written test/Interview.
  3. Date and Time of Interview: This will be intimated to shortlisted candidates via email.
  4. IIT Hyderabad reserves the right to alter the number of vacancies or keep it open till the deserving candidate is found.
  5. IIT Hyderabad reserves the right to close the recruitment procedure without selecting anybody, if none of the candidates are found suitable.
  6. Candidates with prior experience in relevant area will be given preference.
  7. For any query in this regard, candidates may write to Prof. Amit Acharyya, Principal investigator (Email: amit_acharyya@ee.iith.ac.in), Department of Electrical Engineering.
  8. The candidates are advised to check the Institute’s website on regular basis for any updates

Applications are invited from the eligible candidates for the above positions purely on ad hoc basis in the project to work at IIT Hyderabad Closing Date for applications 2nd June 2023.


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