IIT Kanpur Research Analyst Recruitment 2026 – Apply Online
- Posts
- 1
- Last date
- 10 Nov 202611 days left
- Qualification
- Engineering / Diploma / Post Graduate
- How to apply
- Online
Opens this recruitment’s page on the official site — the notice and application details are there.
IIT Kanpur has announced a temporary position for a Research Analyst at the National Aerosol Facility. Candidates must hold a postgraduate degree in Computer Science and Engineering or a related field, along with three years of relevant experience. Applications are to be sent via email by November 10, 2026.
IIT कानपूर ने नेशनल एरोसोल फैसिलिटी में रिसर्च एनालिस्ट के लिए एक अस्थायी पद की घोषणा की है। उम्मीदवारों के पास कंप्यूटर विज्ञान और इंजीनियरिंग या संबंधित क्षेत्र में पोस्टग्रेजुएट डिग्री होनी चाहिए, साथ ही तीन वर्ष का प्रासंगिक अनुभव भी होना चाहिए। आवेदनों को 10 नवंबर, 2026 तक ईमेल के माध्यम से भेजा जाना है।
Recruitment details
- Organisation
- Indian Institute of Technology Kanpur
- Post name
- Research Analyst
- Total vacancies
- 1
- Qualification
- M.E/M.Tech in Computer Science and Engineering or a relevant field
- Salary
- ₹31,600 - ₹78,400/month
- Job location
- Kanpur, Uttar Pradesh
- Application starts
- —
- Last date to apply
- 10 Nov 2026
- Exam date
- —
Eligibility criteria
Candidates must have a postgraduate degree in Computer Science or a related field and at least three years of relevant experience. The recruitment process values not only academic credentials but also practical skills, particularly in Python and data analysis. To apply for IIT Kanpur Research Analyst Recruitment 2026 – Apply Online, a candidate must have M.E/M.Tech in Computer Science and Engineering or a relevant field. The posts are based in Kanpur, Uttar Pradesh.
Eligibility: Engineering / DiplomaPost Graduate
Selection process
- Shortlisting based on qualifications and experience
- Interview
Salary & benefits
Selected candidates will receive a pay of ₹31,600 - ₹78,400/month. Government employees are also generally entitled to allowances such as Dearness Allowance (DA), House Rent Allowance (HRA) and other benefits applicable to the post and pay level.
How to apply
- Prepare all mandatory documents.
- Compose an email to [email protected]
- Include 'Research Analyst' and advertisement number P.Rect./R&D/2026/218 in the subject line.
- Attach the required information and documents.
- Send the email by November 10, 2026.
About this recruitment
The Research Analyst position at IIT Kanpur focuses on environmental data analysis and research at the National Aerosol Facility. This role involves processing and interpreting complex datasets, utilizing Python for data analysis, and producing technical reports to communicate findings.
This position is ideal for candidates with a background in Computer Science, a strong interest in environmental issues, and relevant experience in data-intensive research. The selected candidate will contribute to projects aimed at understanding air quality and developing analytical tools.
Given its temporary nature, the post is suitable for candidates looking to gain valuable experience in research within a prestigious institute. Candidates should ensure they meet the educational and experience requirements before applying, as these are crucial for the selection process.
Key facts: 1 vacancies · last date 10 Nov 2026.
The Indian Institute of Technology Kanpur (IIT Kanpur) is one of India's premier public technical universities, dedicated to advancing knowledge and research in engineering and technology. It houses various research facilities and offers numerous opportunities for scholars to engage in groundbreaking work.
Always verify dates and eligibility on the official website before applying. News-Views.in aggregates publicly available notifications and is not a government body.
How to prepare for IIT Kanpur Research Analyst
Preparation for IIT Kanpur Research Analyst Recruitment 2026 – Apply Online is most effective when it is planned and consistent. A few practical pointers:
- Review Python programming concepts, especially those relating to data processing and analysis.
- Brush up on statistical methods and their applications in environmental data.
- Familiarize yourself with AI/ML basics as well as data visualization techniques.
- Practice analytical problem-solving scenarios to prepare for potential interview questions.
For a fuller, step-by-step plan, see the helpful guides linked below — they cover exam strategy, subject-wise tips and common mistakes in detail.