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VIT Chennai Recruitment 2026: Project Technical Staff Post

VIT Chennai Recruitment 2026 has started accepting applications for the position of Project Technical Staff - III to work on smartphone-based volumetric food analysis and glycemic prediction in diabetes research. Selected candidates will be employed at a salary of ₹33,300, including a house rent allowance of 30%, payable in Chennai. This position is open to candidates with a master's degree in M.E./M.Tech in ECE, CSE, Biomedical Engineering, or Instrumentation or related areas. VIT Chennai Recruitment 2026 will review applications until August 30, 2026, at 5:30 PM.

VIT Chennai Recruitment 2026: Project Technical Staff Post

VIT Chennai Recruitment 2026: Project Technical Staff-III Vacancy Announced

VIT Chennai is looking for a technical researcher who can move easily between software, AI, and healthcare applications. Applications are invited for one unreserved Project Technical Staff-III position on the project “Smartphone-based volumetric food analysis and glycemic prediction in diabetes”.

The recruitment was published on 24 August 2026 and will be open till 30 August 2026 at 5:30 PM. Candidates should have experience in app development, Python, and LLMs as well as deep learning models and their deployment.

VIT Chennai Recruitment 2026: Key Details

Particular

Details

Institution

VIT Chennai

Post

Project Technical Staff-III

Vacancies

1

Category

Unreserved

Project

Smartphone-based volumetric food analysis and glycemic prediction in diabetes

Funding Agency

ICMR*

Monthly Remuneration

₹33,300, including 30% HRA

Maximum Age

28 years

Initial Tenure

1 year

Extension

Up to one additional year, subject to performance

Work Location

VIT Chennai

Application Mode

Email

Last Date

August 30, 2026, 5:30 PM

Selection

Shortlisting + in-person interview

The recruitment notification mentions ICMR as the funding agency. The same project is listed on VIT Chennai CHAIR page as an Ignition grant project with a value of Rs. 30 lakh, for two years.

What Is the VIT Chennai Project About?

The project looks at the use of smartphones for both volumetric food analysis and predicting glycemic responses for diabetes. It is part of VIT Chennai’s Healthcare Technology Research framework. The Centre for Healthcare Advancement, Innovation and Research (CHAIR), focused on AI and the domains of machine learning, deep learning, biosensors, wearables, eHealth, smart medical devices and diagnostic technologies, operates within this ecosystem.

The Centre’s website mentions the project within its list of research projects, and Dr Suchetha M. is the project PI. It is a 30 lakh rupees grant project for 2 years.

VIT Chennai Project Technical Staff-III

Candidates should have an M. E. / M.Tech in the allied areas of Electronics & Communication Engineering, Computer Science & Engineering, Biomedical Engineering, Instrumentation or related fields. The advertisement states that the candidates should have a working knowledge of application development and Python programming. It is a prerequisite that the candidates are admitted to the PhD programme at VIT Chennai.

The profile requires deep learning, LLMs and AI models. This is a better opportunity for people with a graduate degree in AI engineering compared to applicants with general software development.

Job Responsibilities

As part of the position, the candidate will be required to perform the following:

  • Application development
  • Research on projects about healthcare and diabetes
  • Development and deployment of DL/AI models
  • Built on LLMs
  • Web application development

This combination of research and application development will make the position unlike most software development jobs.

Salary, Age Limit and Tenure

Candidates selected will receive a gross salary of ₹33,300 with 30% HRA. The upper age limit for candidates is 28 years. The appointment will be for 1 year and will be renewed for a further year based on the candidate's performance. This type of position is a temporary VIT Chennai project appointment and is not a permanent staff or faculty post.

How to Apply for VIT Chennai Recruitment 2026

Eligible candidates should apply by sending their CV with Research Experience (in the last three years) to the email address mentioned in the position announcement. The application must not exceed two pages and must contain the applicant's qualifications and work experience. The applicant should also attach all certificates and mark sheets from Class 10 onwards. Only shortlisted candidates will be notified via email.

VIT Chennai Selection Process 2026

There will be three stages of shortlisting: qualification, experience and interview. VIT Chennai will host the in-person interviews. Selected candidates will be communicated through the email provided by the candidate. VIT Chennai will not pay TA/DA to candidates coming for the interview. VIT Chennai also reserves the right to discontinue engagement after one month if the employee does not perform satisfactorily.

Final Thoughts

VIT Chennai has an opportunity for applicants looking to pursue a career in the intersection of Artificial Intelligence and Digital Healthcare. This opportunity is unique, as it combines the development of smartphone applications with food analysis and predictive glycemic index, LLMs and deep learning. This opportunity is more research-intensive than a typical staff position. Although there are many components to this opportunity, it is likely that the best applicants will have experience in the development of AI applications, deep learning models and the required degree of M.E./M.Tech.

The expectation of PhD registration at VIT Chennai also makes the position relevant to candidates considering a longer-term, academic research pathway. It is a typical post with one unreserved position. The maximum salary will be ₹33,300 per month. The maximum age is 28 years.  One detail that has to be handled with great care is the funding. While the recruitment listing cited the ICMR, the VIT Chennai CHAIR page cited the same project as an Ignition Grant. Details should be cross-checked before elaborating on the funding.

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