Indian Institute of Technology Mandi, a premier technical institute in Himachal Pradesh, is hiring for the post of Project Associate/JRF under a DRDO-funded project on speaker and language identification. There is a single vacancy, and the role involves deep learning based research work in the School of Computing and Electrical Engineering, with collaboration with a DRDO laboratory.
IIT Mandi Recruitment 2026 - Project Associate and JRF Posts
- Notification19 Sept
- Walk-in01 Oct
- Walk-in Held01 Oct
About IIT Mandi Project Associate/JRF Recruitment 2026
Job Overview
- Organization
- Indian Institute of Technology Mandi
- Advertisement No.
- IITM/SRIC/Project No.607/26-27/01
- Post Name
- Project associate/JRF
- Job Location
- Mandi, Himachal Pradesh
- Who Can Apply
- Candidates from anywhere in India (Applications from Indian nationals are invited)
- Job Type
- Contract
- Gender
- All
- Nationality
- Indian
- Credentials Required
- Valid GATE (or similar national level test) score preferred
- Pay Scale
- Rs 37,000 p.m. plus HRA (as applicable)
- Tenure
- Initial appointment for one year or the end of the project, whichever is earlier; project duration 21 months, end date 4 March 2028
Vacancy Breakdown
| Post Name | Total |
|---|---|
| Project associate/JRF | 1 |
Eligibility Details
Bachelor's degree in CSE, ECE, EE, MCA preferably with a valid GATE (or similar national level test) score. Strong foundation in deep learning algorithms and architectures. Proficiency in programming languages such as Python, MATLAB, or C/C++. Familiarity with machine learning techniques applied to speech data and speaker recognition. Excellent problem-solving skills and ability to work in a collaborative R&D environment.
| Post | Qualification |
|---|---|
| Project associate/JRF | Bachelor's degree in CSE, ECE, EE, MCA preferably with a valid GATE (or similar national level test) score. Strong foundation in deep learning algorithms and architectures. Proficiency in programming languages such as Python, MATLAB, or C/C++. Familiarity with machine learning techniques applied to speech data and speaker recognition. Excellent problem-solving skills and ability to work in a collaborative R&D environment. |
Age Relaxation
Relaxation of marks may be granted to OBC(NCL)/SC/ST/PwD candidates or other reservation as applicable as per GoI norms.
Application Fee
Selection Process
- 1Walk-in Interview
Candidates are required to appear for a walk-in interview at IIT Mandi on 1 October 2026; reporting time 10 am at the SCEE office, A17 building, North campus.
Salary Structure
Rs 37,000 p.m. plus HRA (as applicable)
How to Apply
- 1Read the official notification carefully before attending the interview.
- 2Report at the SCEE office, A17 building, North campus, IIT Mandi at 10 am on 1 October 2026.
- 3Carry all original documents along with one set of self-attested photocopies of ID proof, educational certificates, experience certificates (if required) and category certificate (if applicable).
- 4Bring the duly filled application form if required in the notification.
- 5Verify the eligibility criteria before attending the interview.
- 6Reach the venue well in advance to complete registration formalities.
- 7Keep extra passport-size photographs for submission if required.
Reporting Venue
SCEE office, A17 building, North campus, IIT Mandi, Kamand - 175075, Himachal Pradesh
Reporting time: 10:00 AM
Interested candidates must appear for a walk-in interview at IIT Mandi on 1 October 2026, reporting at 10 am at the SCEE office, A17 building, North campus. Candidates should read the official notification, verify eligibility, carry all original documents with one set of self-attested photocopies (ID proof, educational certificates, experience certificates if required, category certificate if applicable), bring the duly filled application form if required, and reach the venue well in advance to complete registration formalities. Extra passport-size photographs may be kept for submission if required.
Documents to Carry / Upload
Important Details
- The post is temporary and project-based under DRDO funding; renewal for a few months or a year, or up to the duration of the project, depends on satisfactory performance.
- IIT Mandi reserves the right to fix higher criteria for shortlisting candidates who satisfy the advertised qualifications.
- In case of selection of a retired or superannuated government employee, salary will be fixed as per prevailing GoI rules and norms.
- Clarifications on eligibility may be sought from Dr. Padmanabhan Rajan at [email protected].
Project Details
| Field | Details |
|---|---|
| Title of the Project | Score normalization algorithms towards robust verification for ECAPA based speaker and language identification models |
| Funding Agency | DRDO |
| Project Investigator | Padmanabhan Rajan |
| School/Center | School of Computing and Electrical Engg |
| Duration of the Project | 21 months; end date 4 March 2028 |
Key Responsibilities
- Design and implement algorithms for deep learning based techniques for speaker diarization
- Process large meeting datasets with multiple speakers
- Coordinate data collection and annotation
- Collaboration with DRDO lab
- Document methodologies, prepare technical reports, and present findings to stakeholders
Contact
Email: [email protected], [email protected]
Phone: 01905-267132
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