SMKV Bastar announces 69 non-teaching posts

Indian Opinion DeskIndian Opinion DeskGovernance37 minutes ago3 Views

The Story in Brief

Shaheed Mahendra Karma Vishwavidyalaya (SMKV) in Jagdalpur, Bastar, has opened online applications for 69 non-teaching Group C and Group D vacancies across three advertisements: 3660/2026, 3662/2026 and 3666/2026. The posts include 23 Peon, 21 Assistant Grade-3, 2 Data Entry Operator, 3 Store Keeper and 20 technical positions such as Laboratory Technician, Technical Assistant, Research Assistant, Accounts Assistant and Library Assistant.

SMKV Bastar announces 69 non-teaching posts

Only permanent residents of Chhattisgarh are eligible. Educational qualifications range from Class 10 pass for Peon to graduate or postgraduate degrees for technical posts, with a one-year computer diploma and typing certificate required for clerical roles. Applicants must be aged between 18 and 45 years as of 1 January 2026. Applications are accepted online until 4 November 2026 at 11:59 PM, with a correction window from 5 to 7 November.

The application fee is Rs 500 for UR/OBC-NCL candidates and Rs 300 for SC/ST/PwBD candidates. Selection includes an OMR-based written exam (no negative marking) and a skill or practical test. Final merit will be calculated from 60 converted written marks, 30 practical marks and 10 marks for eligible SMKV daily-wage experience.

Indian Opinion Analysis

The 69 non-teaching vacancies at SMKV Bastar come at a time when state universities are filling support roles after a hiring lull. The strict domicile condition, only permanent residents of Chhattisgarh can apply, will limit the candidate pool but aligns with the university’s regional recruitment policy. The three separate advertisements mean applicants must check the correct notification for their post, as eligibility and exam patterns differ between Peon, clerical and technical categories. The 4 November deadline leaves just under two weeks for online submissions.


Source: freejobalert.com

This brief was synthesised by AI from the source linked above. Methodology and corrections.

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