Applications are open for the HQNCIW AI-Based RF Localisation Error Prediction internship on the AICTE Internship Portal. It pays ₹30,000 per month, runs for 75 days and is based in Jammu and Kashmir. HQNCIW has 2 openings. Apply by 5 Nov 2026. It is at #28 in our list of the highest-paying internships we checked. HQNCIW posted it on 20 Oct 2026.
The listing asks for specific degrees, listed under the eligibility criteria below. It suits students who want hands-on work with Data Analysis. This post covers the work you will do, who can apply, the stipend, key dates and how to apply, with the official link. Details the listing leaves out are marked as not specified.
Internship Overview
Here are the key details in one table.
| Organization | HQNCIW |
|---|---|
| Internship Role | AI-Based RF Localisation Error Prediction and Correction Using Environmental and Geospatial Data Intern |
| Stipend | ₹30,000 per month |
| Location | Jammu and Kashmir |
| Work Mode | Not specified |
| Internship Type | Full Time |
| Duration | 75 Days |
| Openings | 2 |
| Last Date to Apply | 5 Nov 2026 |
| Apply On | AICTE Internship Portal |
About HQNCIW
The listing does not include a profile of HQNCIW. Look up the organization's own website and LinkedIn page to learn about its work before you apply.
Internship Details
About the Program.
- Description of the Project.
- Role. AI Based RF Localisation Error Prediction and Correction Using Environmental and Geospatial Data.
- Location. Udhampur.
- Vacancy. 02.
- 5.1. Understand the fundamentals of RF transmitter geolocation, localization accuracy and environmental factors that may influence location estimates.
- Explore the application of Artificial Intelligence AI to predict and assess localization errors and investigate the potential for improving the accuracy of existing RF geolocation estimates.
- 5.5. Compare localization estimates with ground truthed observations to assess accuracy, consistency and the effectiveness of any proposed correction.
Duration of the Project. Sundays will be used for working online only.
Roles and Responsibilities
The listing describes the work like this:
- 5.2. Collect, organize and examine relevant geospatial, environmental and ground truthed localization data.
- 5.3. Analyze the relationship between environmental and terrain characteristics and observed localization errors.
- 5.6. Prepare graphical representations, document observations and compile findings into a technical report describing the analysis, results, limitations and conclusions.
- 6.1. Basic understanding of mathematics, data interpretation and geographical coordinates.
- 6.2. Interest in Artificial Intelligence, radio communications, RF geolocation, terrain analysis or geospatial data.
- 6.5. Good communication, documentation and time management skills.
Candidates with an interest in Artificial Intelligence, RF geolocation, data analysis, geographical information or environmental studies will be preferred.
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Eligibility Criteria
The listing sets these criteria:
- Degree: Diploma In Engineering, B.Tech / B.E / equivalent or M.Tech / M.E
- Open to interns from diverse academic backgrounds the program offers internships across domains to develop future ready skills while contributing to innovative, technology initiatives.
- Candidates pursuing or holding a Diploma, Bachelors degree or higher qualification in Electronics and Communication Engineering, Electrical Engineering, Computer Science, Information Technology, Geography, Geoinformatics, Physics or other relevant Science and Technology disciplines.
- You can work full time for the full 75 days
Required Skills
- Skills Required.
- 6.4. Analytical and problemsolving skills, with an ability to interpret data and assess location accuracy.
Stipend and Benefits
The listing says: "The stipend at the rate of Rs 30,000 (Rupees Thirty Thousand only) per month, not exceeding Rs 75,000 (Rupees Seventy Five Thousand onl."
| Per month | ₹30,000 |
|---|---|
| Total for 75 days | About ₹75,000 |
Benefits
- The Indian Army Internship Program IAIP is a 75day nationwide internship initiative that provides interns from across India with the opportunity to work on live military applications and gain hands on exposure under mentorship of military experts
Internship Duration and Mode
The internship runs for 75 days and is full time. The listing names Jammu and Kashmir as the location. If you live elsewhere, check whether you can relocate for the full period.
Important Dates
| Posted On | 20 Oct 2026 |
|---|---|
| Last Date to Apply | 5 Nov 2026 |
| Internship Start Date | Not specified |
Required Documents
The listing does not list any required documents. Keep an updated resume in PDF format ready, as most forms ask for one.
Selection Process
The selection process is not described in the listing. Keep checking your email after applying, as shortlisted students are contacted there.
How to Apply
- Click "Apply Now" below. It opens this internship on the AICTE Internship Portal.
- Sign in to the portal. First-time users need to register as a student.
- Click Apply on the internship page and answer any screening questions.
- Track your application status on your portal dashboard.
Important Official Links
- Official listing and application: AI-Based RF Localisation Error Prediction and Correction Using Environmental and Geospatial Data internship listing on the AICTE Internship Portal
- AICTE Internship Portal: internship.aicte-india.org
- HQNCIW website: not given in the listing
The listing linked above has the complete description, which is shortened here.
Practical Tips for Applicants
- Complete your AICTE Internship Portal profile (college, course and year) before you apply, so the form goes through in one go.
- Share one dashboard or analysis you made, even a college project. Put the link in your resume.
- Match your resume to this listing: put the skills it asks for near the top.
- Apply a few days before the last date. Portals get slow near the deadline.
- Before an interview, spend ten minutes reading about HQNCIW on its website and LinkedIn.
More Internships and Guides
Frequently Asked Questions
Short answers to what students usually ask about this role.
1How much does the HQNCIW AI-Based RF Localisation Error Prediction internship pay?
The stipend is ₹30,000 a month. For the full 75 days, that is about ₹75,000.
2Where is this internship located?
It is based in Jammu and Kashmir.
3Who is eligible to apply?
It is open to students with Diploma In Engineering, B.Tech / B.E / equivalent or M.Tech / M.E.
4When does the application close?
The last day to apply is 5 Nov 2026. The company plans to take 2 interns.
5How can I apply?
Open the listing with the Apply Now button, sign in to the AICTE Internship Portal and submit your application there.
6Is there any fee to apply?
No fee is mentioned in the listing. If someone asks you to pay to confirm your selection, treat it as a warning sign.
Conclusion
This AI-Based RF Localisation Error Prediction and Correction Using Environmental and Geospatial Data role at HQNCIW is a full time internship with a stipend of ₹30,000 per month, lasting 75 days. Check the official listing for any changes, then apply before the deadline.
About the Author
Disclaimer: This article is for information only. AICTE Internship Help Desk is an independent informational website and is not affiliated with AICTE or HQNCIW. Check the latest eligibility, stipend, deadlines and application details on the official website before you apply.
