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Notification No: WEBEL/AICOE/25-26/005 Date:26-12-2025
Notification WEBEL/AICOE/25-26/005
Application Form
| Centre of Excellence on Data Science and Machine Learning is seeking interns from interested candidates studying in the 6th semester of BE/B.Tech or equivalent course/ 2nd Semester of MCA or equivalent course/ 2nd semester of M.Sc./ME/MTech or equivalent course from a recognized University/ Institute /College. An honorarium shall be paid to each Intern. | |
| Period | The internship duration will be 3 months for candidates undergoing the UG program / 6 months for candidates undergoing the PG program only. |
| Tentative Date of Commencement of Internship: | The Internship Commencement date will be intimated later. |
| Eligibility | Candidates studying in the 6th semester of BE/B.Tech or equivalent course/ 2nd Semester of MCA or equivalent course/ 2nd semester of M.Sc/ME/M.Tech or equivalent course from a recognized University/ Institute /College. |
| Desirable: | Good Knowledge & Coding Skills in Python Programming with knowledge of AI/ML. |
| Application Procedure |
1. Interested candidates should apply only through this link at https://forms.gle/QcJW2ALwqPV92Twr7 with all relevant supporting documents on or before 12th January 2026, up to 12 AM. 2. Applications received from the candidates who had already availed an Internship from the CoE through this process of selection in any of the earlier batches will be considered ineligible. 3. The candidates qualifying eligibility criteria may be called for the Selection Tests, Personal Interview depending on the direction of the competent authority/committee. |
| N.B.- Dept. of ITE/CoE on Data Science & Machine Learning/WEBEL does NOT GUARANTEE selection upon application. The decision of the Selection Committee, constituted by the Competent Authority for this purpose, is final and binding. No phone call, email, or personal query will be entertained regarding this matter. Guardians and students are requested not to contact us by phone or visit the CoE in person regarding the application and selection process. | |