- Education: Candidates must possess a PhD in Linguistics.
- Experience: A minimum of 10 years of work experience post Master's degree is required, specifically in Machine Translation (MT) and Natural Language Processing (NLP) related projects.
- Specialization: Essential background in Indian Language to Indian Language processing.
- Language Proficiency: Proficiency in Hindi and Telugu linguistic knowledge is mandatory.
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Indian Institute of Technology Delhi Industrial Research & Development Unit
May. 12, 2026
INDIAN INSTITUTE OF TECHNOLOGY DELHI (IITD) 2026 Recruitment: Research Associate-1 (01 Vacancy)
Research Associate-1
Vacancies
01
Pay Scale
Rs. 58,000/- p.m. (Consolidated fellowship)
Age Limit
Check Details
Job Location
Important Dates
Published
Apr. 27, 2026
2
Starts
Apr. 27, 2026
3
Deadline
May. 12, 2026
4
Exam Date
TBA
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Job Analysis
AI-generated insights
Best-Fit Profile
This role is ideal for highly specialized candidates holding a PhD in Linguistics who possess a robust 10+ years of post-Master's experience in Machine Translation (MT) and Natural Language Processing (NLP). Crucially, applicants must demonstrate a strong background in Indian Language to Indian Language processing, specifically with proficiency in Hindi and Telugu. It suits researchers looking for project-based contractual work within a prestigious academic environment like IIT Delhi.
Important Considerations
Individuals lacking a PhD in Linguistics, or those with less than 10 years of relevant experience in MT/NLP after their Master's degree, should not apply. Candidates without specific expertise in Indian language processing (Hindi and Telugu) will find this role unsuitable. This is not a position for freshers or those seeking permanent government employment.
Career Impact
Working as a Research Associate at IIT Delhi, a top-tier Indian institute, offers significant academic prestige and invaluable experience in advanced research. While the role is contractual and project-specific, it provides an excellent platform for contributing to cutting-edge linguistic data projects under the Ministry of Electronics and Information Technology, enhancing one's research portfolio and professional network within a leading technological university.
Note: This is a helpful, AI-generated overview designed to save you time. Always refer to the official PDF notification for complete and final details.
Eligibility Criteria
Educational Qualification
Age Limit Details
A 5% relaxation of marks may be granted to SC/ST candidates during the selection process.
Salary & Pay Scale
The position offers a consolidated fellowship of Rs. 58,000/- per month. For retired/superannuated government employees selected for this role, the salary will be fixed as per the prevailing IRD norms.
How to Apply
Interested candidates must follow these steps to apply:
- Download Application Form: Download Form No. IRD/REC-4 from the IIT Delhi IRD Website (http://ird.iitd.ac.in/rec).
- Complete Form: Fill the downloaded form with complete information, including educational qualifications (with percentage of marks/division) and details of work experience.
- Submit via Email: Submit the duly filled form via e-mail to Prof. Tanmoy Chakraborty at [email protected].
- Subject Line: Ensure the advertisement number (IITD/IRD/100/2026) is clearly mentioned in the subject line of the email.
- Shortlisting: IIT Delhi reserves the right to fix higher criteria for short-listing. Only short-listed candidates will be informed for online interviews, and their names will be displayed on the web link http://ird.iitd.ac.in/shortlisted.
- Clarification: For any clarifications regarding eligibility, candidates may contact Prof. Tanmoy Chakraborty at [email protected].
- Deadline: The last date for submitting applications by e-mail is May 12, 2026, by 5:00 p.m.
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Similar Ph.D Opportunities
Job Analysis
AI-generated insights
Best-Fit Profile
This role is ideal for highly specialized candidates holding a PhD in Linguistics who possess a robust 10+ years of post-Master's experience in Machine Translation (MT) and Natural Language Processing (NLP). Crucially, applicants must demonstrate a strong background in Indian Language to Indian Language processing, specifically with proficiency in Hindi and Telugu. It suits researchers looking for project-based contractual work within a prestigious academic environment like IIT Delhi.
Important Considerations
Individuals lacking a PhD in Linguistics, or those with less than 10 years of relevant experience in MT/NLP after their Master's degree, should not apply. Candidates without specific expertise in Indian language processing (Hindi and Telugu) will find this role unsuitable. This is not a position for freshers or those seeking permanent government employment.
Career Impact
Working as a Research Associate at IIT Delhi, a top-tier Indian institute, offers significant academic prestige and invaluable experience in advanced research. While the role is contractual and project-specific, it provides an excellent platform for contributing to cutting-edge linguistic data projects under the Ministry of Electronics and Information Technology, enhancing one's research portfolio and professional network within a leading technological university.
Note: This is a helpful, AI-generated overview designed to save you time. Always refer to the official PDF notification for complete and final details.
Official Links
72h Deadline Tracker
Free ExtensionNever miss closing dates on SSC & UPSC portals • Real-time alerts & zero fake links
Get Extension →
Prepare Your Application Documents
🔒 100% Secure & In-Browser: Filling out the application form? Use these free utilities to easily format and compress your uploads. All tools process files locally in your browser—nothing is ever uploaded to our servers.
Smart Image Resizer
Compress photo/signature to exact KB limits (e.g. 20-50KB) for SSC, UPSC.
Passport Photo Maker
Crop and tile photos into printable A4 or 4x6 sheet grids.
Signature Extractor
Remove gray shadows & shadows from signature photos.
Image to PDF Combiner
Merge multiple marksheets/certificates into a single lightweight PDF.
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