Applications are invited for Project Intern at UIET, Chandigarh Under Meity Funded Project for the year 2023. The last date of application is 26 August.
Telecommunication Research Lab, UIET, PU, Chandigarh provides an opportunity to exceptionally good undergraduate students to work as Interns in the Research project “MultiModal Framework for Monitoring Active Fire Locations (AFL) & Precision in Allied Agricultural Activities using Communication Technologies” funded by Ministry of Electronics and Information Technology (Meity).
About UIET
Panjab University is located in Sector 14 and Sector 25 of Chandigarh, spreading across an area of almost 550 acres.
The layout of two campuses of the University has been conceived to meet the academic, administrative, sports/recreational, residential and other requirements of a growing University. To make it self-contained, infrastructural facilities like its own Shopping Centre, Health Centre, Bank, Post office, Swimming Pool, Gymnasium, Sports Grounds, Botanical Gardens, well maintained parks, Open Air Theatre, Guest Houses, Faculty House, Seminar Complexes, Alumni House, Community Centre and a school, have been provided. Besides these facilities, the University Campus has 8 hostels for boys, 9 hostels for girls, a Working Women Hostel and 2 sports hostels
Eligibility
BE/B.Tech (all branches, all semesters) students are eligible to apply.
Duration
The duration of internship is initially for a period of 07months but can be continued till the project ends based on the performance of the interns. The number of vacancies is 02.
Stipend
The internship amount is Rs. 5000/- per month.
Application
The interested students have to submit their application along with Resume (highlighting their skill set and projects undertaken) in Telecommunication Research Lab, UIET, PU, Chandigarh by 26 August 2023. The submission of soft copy is also mandatory and has to be sent to this link.
Features
Some salient features of the internship are:
- Learning about Innovation, Designing and Implementing Prototypes and Commercialization of solutions.
- Primary areas of learning will be in the areas of data acquisition through sensors, cloud storage, analysis of data using machine and deep learning, development of web and mobile interface.
- Students will work on the live project in a group comprising of experienced faculty, research scholars, and Government officials.
- Flexible working hours, access to library, lab resources, GPUs, etc.
- A Certificate and Letter of Recommendation will be given to each student at the end of successful completion of the Attachment.
