IIT Guwahati Senior Project Associate Recruitment 2026 – Apply Online

IIT Guwahati Senior Project Associate Recruitment 2026 – Overview

The Indian Institute of Technology Guwahati (IIT Guwahati) is a prestigious institution that plays a vital role in the education and research landscape of India. Established in 1994, it is recognized as one of the leading engineering institutes in the country, contributing significantly to various fields of technology and innovation. The recent announcement for the recruitment of a Senior Project Associate presents a valuable opportunity for candidates enthusiastic about contributing to research and development in a government-backed institution. This position is crucial for those aiming to build a career in academia or research, providing a platform to work on advanced projects and collaborate with experts in various disciplines.

The Senior Project Associate role is designed for individuals who possess a strong academic background and relevant experience. This recruitment is not just a job opportunity; it is a chance to be part of a transformative journey in the field of technology and engineering. Candidates looking for government jobs will find this an excellent opportunity to leverage their skills and expertise in a supportive and intellectually stimulating environment.

Key Details of the Recruitment

• Post Name: Senior Project Associate
• No of Posts: 1
• Salary: Rs. 68,400 per month
• Qualification: Ph.D. in Mechanical Engineering, Electrical Engineering, Computer Science & Engineering, or allied disciplines, or M.Tech./M.E. with two years of R&D experience.
• Last Date to Apply: 25 June 2026
• Application Mode: Online
• Job Type: Contractual

These details outline the fundamental aspects of the recruitment process, ensuring that candidates are well-informed about what is expected and the opportunities available.

Important Dates

It is essential for candidates to keep track of these dates, as timely applications and preparations for the interview can significantly influence their chances of success.

Selection Process

The selection process for the Senior Project Associate position involves a comprehensive evaluation to identify the most suitable candidates. As per the official notification, the primary mode of selection will be through an online interview. This format allows for a broader reach, enabling candidates from various locations to participate without the constraints of travel.

During the interview, candidates can expect questions that assess their technical knowledge, research experience, and problem-solving abilities. It is advisable for applicants to prepare thoroughly, showcasing their expertise and enthusiasm for the role. Candidates should also be ready to discuss their previous work experience and how it aligns with the responsibilities of the Senior Project Associate position.

• Prepare for technical questions related to your field of expertise.
• Review your previous experience and how it applies to the role.
• Practice common interview questions to boost your confidence.

Eligibility Criteria

To be eligible for the Senior Project Associate position, candidates must meet specific academic qualifications and experience requirements. The recruitment notice specifies that applicants should hold a Ph.D. in Mechanical Engineering, Electrical Engineering, Computer Science & Engineering, or related fields. Alternatively, candidates with an M.Tech./M.E. degree along with two years of research and development experience in industrial or academic institutions can also apply. This flexibility allows a wider range of candidates to consider applying, provided they meet the core academic standards.

Additionally, having experience in preferred areas such as Artificial Intelligence (AI), Machine Learning (ML), Image Processing, Software Development, Automation and Control Systems, Robotics, and Data Analytics can enhance a candidate’s profile, making them more competitive in the selection process.

• Ph.D. in relevant fields or M.Tech./M.E. with experience.
• Experience in R&D is highly advantageous.
• Preferred knowledge in AI, ML, and related technologies.

Important Links

These links are crucial for candidates to access the necessary resources for application and further information about the recruitment process.