JRF/Project Associate-I in District Disaster Management Authority Kangra Project

Job / Vacancy Code : EMPV191901V

Experience
Minimum 0
Work Level
Entry Level
Employee Type
Full Time
Job / Vacancy Locations
:  
IIT Mandi, Kangra Project
Referral Website
:  
Number of Vacancies
:  
2
Date of Posting
:  
09-03-2022
Last Date to Apply
:  
16-03-2022
Date of Start of Employment
:  
-
Key Skills
:  
Post 1 (Circuit Branch) Minimum qualifications: BTech/MTech/MS/MS (By Research) in Computer Science or Electronics and Communication Engineering and related areas with a minimum of 60% marks. Experience in machine learning, C/C++ programming, and the internet of things (IoT) is required for this position. Desirable qualifications: Experience in machine learning, IoT applications, publications, PCB design, and good command over the English language. https://docs.google.com/forms/d/e/1FAIpQLSeyXh0jjgq3FUEoD5vk57xdCDSS51VJx1USw pOZz4qojYcdIQ/viewform?usp=sf_link Post 2 Minimum qualifications: BTech/MTech/MS in Civil Engineering or related areas with minimum of 60% marks. A candidate with interest in geotechnical engineering with desirable multi-disciplinary experience/interest with relevance to AI/ML/IoT applications are required. Candidates with GATE qualification will be preferred. https://forms.gle/imhAcHCLpBqzRGG56
Address
:  
IIT Mandi, VPO Kamand, Mandi, Himachal Pradesh, India – 175075,Himachal Pradesh,Mandi,175075
Description
:  

Applications are invited from Indian citizens for an online-interview for two posts of Project Associate-I in a District Disaster Management Authority Kangra (HP) funded project (IITM/DDMA-Kan/KVU/357) at IIT Mandi.

Title of the Research Project: Development and deployment of landslide monitoring system.

Project details: Development of field-based inputs, soil testing and development of framework for multi-scale alerts on landslide monitoring. We intend to develop a low-cost landslide monitoring and early warning system in this project. We also plan to deploy the developed landslide monitoring system in the landslide-affected area in Himachal Pradesh after confirming the sites at locations.

IIT Mandi reserves the right to fix higher criteria for shortlisting eligible candidates from those satisfying advertised qualifications and requirements of the project post. The interviews would be conducted in an online mode. The interview date and time, and online link will be shared by email with the shortlisted candidates before the interview. The selection committee's decision regarding the interview logistics and selection process for the post will be final. The selection committee reserves the right to fill or not fill the advertised post. For any additional clarifications/information, please contact Dr. Kala Venkata Uday (PI) at uday@iitmandi.ac.in

Source: IIT Mandi Recruitment Website (https://iitmandi.ac.in/administration/advrt/DDMA_Kangra_Mar2022.pdf)