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  • Project Associate-I Post in CSIR-IIIM via Direct Recruitment

    Event Status : Shortlisted Candidates List Released for Interview

Timeline

Important Dates

Date of Interview
01/11/2023, 02/11/2023
Application Closing Date
15/10/2023
Application Opening Date
07/10/2023

Other Important Information

Appointment Type
Direct Recruitment
Application Submission Method
Online
Age Limit
18-35
Qualification Required
Postgraduate, Graduate
Total Vacancies
6
Advertisement Number
22/2023
Location of Posting/Admission
Jammu District, Jammu and Kashmir, India, 181201
Exam
CSIR NET, GATE, UGC NET
Salary
31000, 25000
Age Relaxation Type
SC/ST, Other Backward Class, Person with Benchmark Disabilities, Widow, Divorced Women, Woman
Work Experience
Yes
Organisation Type
Non-Educational Institution
Website
https://iiim.res.in/
Place of Posting/Admission
Jammu
Interview
Yes
Post Type
Contractual
Application Link
https://docs.google.com/forms/d/e/1FAIpQLSdh4IHl7W7urQ0qMARPpX0ElHzpI3w37fL4Bva2_p2JoekzUQ/viewform?usp=sf_link

Note: This information is common for all posts. For details on specific posts, refer to the official notification.

Posts Released

1. Project Associate-I

Important Updates

Refer to the official notification for more details.

Application Summary

CSIR Indian Institute of Integrative Medicine has released a notification for the Project Associate-I post. Interested candidates can apply from 07/10/2023 to 15/10/2023. Download the official notification for details on eligibility, post information, job procedure, pay scale, and more.

CSIR Indian Institute of Integrative Medicine invites applications for the following post via direct recruitment:

Post Name: Project Associate-I

Essential Qualification: 

  • MSc in Agriculture with specialization in Agronomy from a recognized University or equivalent.

  • MSc in Horticulture with specialization in Fruit Science from a recognized University or equivalent.

  • MSc in Agriculture/ Horticulture with specialization in plant pathology/ entomology from a recognized University or equivalent.

  • B Tech in Electronics and Communications/ Computer Science Engineering from a recognized University or equivalent.

  • B Tech in Agricultural Engineering from a recognized University or equivalent.

  • B Tech Computer Science/ MSc in Agricultural Statistics from a recognized University or equivalent.

Desirable: 

  • Candidates having experience in field experimentation, development of agrotechnologies, and Agrometeorology, GIS and Remote Sensing, Crop System Modelling (APSIM/ DSSAT/ STICS), Spatio- temporal crop simulations, Image Processing.

  • Candidates having experience in field experimentation, development of agrotechnologies, and conduct of on farm and frontline demonstration trials of Apple, High Density Apple Plantation, disease identification and management of Apple, fruit breeding, Spatio-temporal crop simulations, crop disease modelling.

  • Candidates having experience in disease identification, pathogen/ pest infestation dynamics, management of pests/ diseases. Isolation and culture of pathogens.

  • M Tech in Electronics and Communications/ Computer Science Engineering from a recognized University or equivalent.

  • Experience in machine learning and deep learning tools like LSTM, conLSTM, CNN, Image Processing/ Analytics, predictive models based on IoT, Knowledge of scripting (Python, Shell, Unix, MATLAB, etc.) for test automation and data analysis Knowledge of inter-module communications protocols.

  • M Tech in Soil and Water Conservation Engineering/ Land and Water Management Engineering/ Water Resource Engineering/ from a recognized University or equivalent.

  • Experience in geospatial techniques, GIS modelling, ENV using Remote Sensing,Image Processing, Lidar data Processing or watershed modelling (SWAT/ HECRAS), predictive models based on IoT, Knowledge of scripting (Python, Shell, Unix, MATLAB, etc.)

  • Experience in good programming skills, advanced python, machine learning tools, Big data, AI/ML based predictive modelling based on IoT and Data Modelling

For more details related to eligibility criteria, fee, pattern, annexures, place of posting etc. refer to the attachments below.