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Advertisement for JRF Position under DST-GUJCOST Sponsored Project

Applications are invited from suitable candidates for a temporary position to work at DA-IICT on a SUPPORTING R&D IN EMERGING FIELDS OF S&T ON STATE PRIORITY AREAS UNDER STI FUND, sponsored research project financed by the Department of Science and Technology: The Gujarat Council on Science and Technology (DST GUJCOST) (Govt. of Gujarat), India. The project details, requisite qualification & experience etc. are given below:

Title of the Project: Design and Implementation of a visibility Improvement model for Haze removal in images acquired from real time CCTV camera

Position and Fellowship Junior Research Fellow (JRF) – 1 post

 

Rs. 30,000/- p.m. (All-inclusive for NET/GATE candidates) OR

Rs. 18,720/- p.m. (All-inclusive for non-NET/GATE candidates)

Essential Qualifications M.E/M.Tech (Computer Science / Information Technology / Electronics and Communication Engineering / ICT) or Equivalent with 60% marks and with GATE qualification.

 

OR

B.E./B.Tech. (Computer Science / Information Technology / Electronics and Communication Engineering / ICT) or Equivalent with 60% marks and with GATE qualification.

OR

M.Sc. in (Computer Science/Information Technology/Data Science/ICT) with 60% marks and with valid GATE/CSIR-UGC NET qualification and Industrial/Research experience will be given preference.

Desirable Requirements
  • Knowledge of Linear Algebra, Statistics and Optimization
  • Good knowledge of Python Programming
  • Knowledge of Machine learning and Deep Learning algorithms
  • GitHub profile to showcase your work
  • Analytical and thinking capabilities for solving research problems
  • Demonstration of how to apply deep networks (e.g., CNN, GANs, LSTM, Recurrent network, Mask-RCNN) to specific applications.
  • Proficiency in one of the deep learning frameworks Pytorch/Tensorflow 2/Keras
Period of Appointment This post is purely temporary and appointment will be made initially for 1 year and further extendable subject to satisfactory performance. It would, therefore, not confer any right for any candidate for claiming extension or absorption in DA-IICT. However, the selected candidate will be encouraged to apply for the PhD program of DA-IICT as per the available guidelines.
Job Description
  • Study and understand the image de-hazing model.
  • Propose a new de-hazing model that can overcome the existing problems
  • Develop a Deep Learning based model for image de-hazing.
  • Experimental verification of the results using real image datasets obtained via CCTV camera

How to Apply: The interested candidates must send the Curriculum Vitae with complete qualification and experience details latest by June 30, 2021 through an e-mail to PI (Dr. Ahlad Kumar) at ahlad_kumar[at]daiict[dot]ac[dot]in or Co-PI (Dr Manish Khare) at manish_khare[at]daiict[dot]ac[dot]in

Please write “Application for JRF position for Haze Removal at DA-IICT” in subject line of the email.

Candidates will be shortlisted for interview based on their CV, qualifications and experience. Only shortlisted candidates will be called for interview and the candidates are required to attend at their own expenses, no TA/DA will be provided. During Interview Performance of candidates will be checked on following points

  • Knowledge of Linear Algebra, Statistics and Optimization
  • Good knowledge of Python Programming
  • Knowledge of Machine learning and Deep Learning algorithms
  • Demonstration of deep networks and proficiency in one of the deep learning frameworks e.g.Pytorch/Tensorflow2/Keras

Tentative date of Interview: First week of July 2021.

Expected start date: Second Week of July, 2021.

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