Outreach Teaching Fellow
Indian Institute of Technology (IIT) Kharagpur • teaching
Important Dates
Application Fee
Free
Age Limit & Eligibility
Age Requirements
- Minimum Age: Not Specified
- Maximum Age: Not Specified
- Age relaxation extra as per Indian Institute of Technology (IIT) Kharagpur rules.
Educational Qualification
M.Tech in CS /AI /Data Science or equivalent; Desirable: PhD in Computer Science or related subjects, strong knowledge of AI and Machine Learning, proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Age Limit: N/A
Qualifications: M.Tech in CS /AI /Data Science or equivalent; Desirable: PhD in Computer Science or related subjects, strong knowledge of AI and Machine Learning, proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Vacancy Details
| Post Name | Total Posts | Eligibility |
|---|---|---|
| Outreach Teaching Fellow | 2 | M.Tech in CS /AI /Data Science or equivalent; Desirable: PhD in Computer Science or related subjects, strong knowledge of AI and Machine Learning, proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn). {"Outreach Teaching Fellow": 2} |
Full Notification Details & Instructions
Introduction
The Indian Institute of Technology (IIT) Kharagpur, one of the most prestigious and premier technical institutions in India, has announced a significant recruitment drive for the position of Outreach Teaching Fellow. This opportunity is specifically aimed at candidates who possess a deep passion for education, research, and the advancement of technology in the fields of Computer Science and Engineering. The recruitment falls under the Department of Computer Science and Engineering (CSE) and is designed to support an intensive one-year project focused on "upskilling courses."
As the technological landscape evolves rapidly with the integration of Artificial Intelligence (AI), Machine Learning (ML), and Data Science, institutions like IIT Kharagpur are at the forefront of creating educational frameworks that bridge the gap between academic theory and industrial application. The Outreach Teaching Fellow role is pivotal in this mission. Candidates selected for this position will not only be involved in teaching but will also play a crucial role in developing high-quality content and methodologies to empower students with contemporary skills. This is an exceptional opportunity for early-career researchers, M.Tech graduates, or PhD scholars who wish to work in a world-class academic environment while contributing to the nation's technological advancement. The selection process is designed to identify candidates with strong technical foundations in Python and various ML frameworks, ensuring that only the most capable individuals join this esteemed institution.
Highlights / Quick Overview
| Feature | Details |
|---|---|
| Post Name | Outreach Teaching Fellow |
| Organization | Indian Institute of Technology (IIT) Kharagpur |
| Total Vacancies | 02 |
| Salary Package | Up to ₹1,00,000/- per month (Based on Merit) |
Application Fee
| Free (No fees applicable) | | Last Date to Apply | 21/07/2026 | | Job Location | Kharagpur, West Bengal | | Category | Teaching / Research Support |
Post-wise Vacancy Details
| S.No | Post Name | Department | Number of Vacancies |
|---|---|---|---|
| 1 | Outreach Teaching Fellow | Computer Science and Engineering | 02 |
Eligibility Criteria
To ensure that the selected candidates can effectively handle the responsibilities of teaching and curriculum development, IIT Kharagpur has set rigorous eligibility standards. Candidates must meet the following requirements:
Educational Qualification
- Mandatory: Candidates must possess a Master’s Degree (M.Tech) in Computer Science (CS), Artificial Intelligence (AI), Data Science, or an equivalent specialized field of study.
- Preferred/Desirable: While not mandatory for all applicants, candidates holding a PhD in Computer Science or related technical subjects will be given preference during the selection process.
Technical Skills & Proficiency
The ideal candidate should demonstrate a high level of competence in modern computing technologies. Specifically:
- Programming: Strong proficiency in Python programming is essential for teaching and research tasks.
- Frameworks: Familiarity with leading Machine Learning frameworks such as TensorFlow, PyTorch, and Scikit-learn is highly desirable.
- Domain Knowledge: A solid understanding of AI principles and practical applications in Data Science is necessary to assist in the "upskilling" initiative.
Nationality & Age
Nationality
Open to Indian Nationals (Specific provisions may apply for other nationalities depending on institutional norms). *
Age Limit
No specific age limit has been mentioned; however, candidates should be capable of performing the duties outlined in the official notification.
Important Dates
| Event | Date/Timeline |
|---|---|
| Notification Release Date | 22/06/2026 |
| Application Start Date | Available from Notification date |
| Last Date for Application | 21/07/2026 |
| Selection Process (Screening & Interview) | To be conducted after the deadline |
Application Fee
IIT Kharagpur has made this recruitment process accessible by waiving any application fees for eligible candidates.
| Category | Application Fee Amount |
|---|---|
| General / OBC / SC / ST / EWS | Free |
| PWD Candidates | Free |
Selection Process
The selection process for the Outreach Teaching Fellow position is designed to evaluate both the academic credentials and the practical teaching capabilities of the candidates. The following stages will be conducted:
1. CV Screening
Initially, all received applications will undergo a rigorous screening process. The committee will review the candidate's educational background, research publications (if any), technical expertise in Python/ML frameworks, and previous teaching or training experience. Only candidates whose profiles match the "Outreach" mission of the department will be shortlisted for the interview.
2. Interview
Shortlisted candidates will be invited for a personal interview. This session may include:
- Technical Round: Questions regarding Machine Learning algorithms, Python coding logic, and experience with libraries like PyTorch or TensorFlow.
- Pedagogical Round: Assessing the candidate's ability to explain complex concepts clearly to students as part of the "upskilling" project.
- Communication Skills: Evaluating the clarity of thought and communication in English.
Salary / Pay Scale
The remuneration for the Outreach Teaching Fellow position is highly competitive, reflecting the importance of the role within the institution.
- Monthly Stipend/Salary: Up to ₹1,00,000/- per month.
- Merit-Based: The final salary offer will be determined based on the candidate's performance during the interview and their overall merit in terms of academic excellence and technical proficiency.
- Duration: The position is for a period of one year as part of a specific project.
How to Apply Step by Step
Candidates who meet the eligibility criteria should follow the steps below to submit their application successfully:
- Prepare your CV: Create a detailed and professional Curriculum Vitae (CV) highlighting your M.Tech/PhD details, technical skills in AI/ML, and any teaching experience.
- Highlight Relevant Skills: Ensure that your proficiency in Python, TensorFlow, PyTorch, and Scikit-learn is clearly mentioned in the "Skills" section of your CV.
- Draft a Cover Letter: (Optional but recommended) Prepare a brief cover letter explaining why you are suitable for the Outreach Teaching Fellow role at IIT Kharagpur.
- Prepare Documents: Have scanned copies of your educational certificates (M.Tech/PhD), identity proof, and any relevant experience certificates ready.
- Check Email Accuracy: Ensure you have a professional email ID to send your application from.
- Draft the Email: Compose an email with a clear and concise body text mentioning your interest in the position.
- Set the Correct Subject Line: The subject line of your email must strictly be: "Application for Outreach Teaching Fellow".
- Attach Files: Attach your detailed CV (and other documents if required) to the email.
- Send the Email: Send the final application to the official email ID provided by the department: head@cse.iitkgp.ac.in.
- Respect the Deadline: Ensure that your email is sent before the closing date, which is 21/07/2026.
Frequently Asked Questions (FAQs)
Q1: What is the total number of vacancies for the Outreach Teaching Fellow position?
A1: There are a total of 2 vacancies available for this position in the Department of Computer Science and Engineering.
Q2: What is the minimum qualification required to apply?
A2: Candidates must have an M.Tech in Computer Science, Artificial Intelligence, Data Science, or an equivalent field.
Q3: Is there any application fee for this recruitment?
A3: No, the application process is completely free of cost for all categories.
Q4: What is the maximum salary offered for this role?
A4: The salary can go up to ₹1,00,000 per month, depending on the candidate's merit during the selection process.
Q5: Is a PhD degree mandatory for the Outreach Teaching Fellow post?
A5: No, an M.Tech is the primary requirement, but candidates with a PhD in relevant subjects will be given preference.
Q6: What specific software/frameworks are preferred by IIT Kharagpur?
A6: The institute specifically looks for proficiency in Python and familiarity with ML frameworks like TensorFlow, PyTorch, and Scikit-learn.
Q7: Where is the job located?
A7: The position is based in Kharagpur, West Bengal, at the IIT Kharagpur campus.
Q8: How can I apply for this position?
A8: You must email your detailed CV to head@cse.iitkgp.ac.in with the specific subject line "Application for Outreach Teaching Fellow".
Q9: What is the duration of the project/employment?
A9: The position is for a period of one year as part of an upskilling course project.
Q10: When is the last date to submit the application?
A10: The deadline for submission is 21/07/2026.
Conclusion
The recruitment of an Outreach Teaching Fellow at IIT Kharagpur is a golden opportunity for those looking to establish a career in academia and high-end research. By joining the Department of Computer Science and Engineering, candidates will be part of one of India's most prestigious educational ecosystems. The role provides not only a significant stipend but also exposure to advanced projects in Artificial Intelligence and Machine Learning. If you have the required technical expertise in Python and ML frameworks, and a passion for teaching, this is your chance to contribute to the next generation of tech talent in India.
Make sure to prepare a high-quality CV that highlights your specific skills in TensorFlow and PyTorch, as these are critical components of the selection criteria. Ensure you follow the email submission instructions perfectly to ensure your application is processed. Stay updated with the official IIT Kharagpur website for any further notifications or updates regarding the interview dates.
Note: Candidates are advised to read the original notification carefully before applying to ensure they meet all specific requirements mentioned by the institution.
View Official Notification
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