Author – Ritesh Ranjan: BITS Pilani, Dubai Campus has announced a funded PhD research opportunity under the Full Time Scholars Institute Fellowship, also known as the FTIF scheme. The fellowship is designed for full-time research scholars who want to work in the areas of artificial intelligence, medical imaging, signal and image processing, machine learning, computational diagnostics and healthcare technology.
The research position offers financial support, academic guidance and an international campus environment in Dubai. For students and young researchers aiming to build a career in AI-driven healthcare research, this fellowship can be a valuable opportunity.
The PhD research project will be supervised by Prof. Tojo Mathew and will focus on advanced areas such as computational medical image analysis, genomic data analysis, AI-based medical diagnostics and prognostics. These research areas are becoming increasingly important as healthcare systems around the world adopt intelligent technologies for early diagnosis, better treatment planning and predictive medical analysis.
About The BITS Pilani Dubai PhD FTIF Fellowship
The FTIF Fellowship at BITS Pilani, Dubai Campus is a full-time doctoral research opportunity for candidates who are ready to commit to advanced academic research. The selected scholar will work on interdisciplinary problems that connect engineering, computer science, medical data analysis and artificial intelligence.
Unlike regular academic programmes, this fellowship is attached to a specific research direction. The selected candidate will be expected to contribute to research work involving AI models, machine learning frameworks, signal processing techniques and medical image interpretation. This makes the opportunity especially suitable for candidates who already have a strong technical foundation and are interested in applying it to healthcare and biomedical research.
The fellowship is based at BITS Pilani, Dubai Campus, UAE. This gives scholars exposure to an international academic setting while working under experienced faculty supervision.
Research Areas Covered Under The Fellowship
The announced PhD position focuses on several high-demand research areas. These include signal and image processing, artificial intelligence, machine learning, computational medical image analysis, genomic data analysis, and AI-based medical diagnostics and prognostics.
Medical imaging and AI have become important fields because they help doctors and researchers analyse complex medical data more efficiently. AI models can assist in detecting patterns in scans, identifying disease markers, improving diagnostic accuracy and supporting clinical decision-making.
The fellowship also includes computational diagnostics, which involves using algorithms, models and data-driven techniques to understand medical conditions. Candidates interested in combining computer science, electronics, biomedical data and healthcare applications may find this research area highly relevant.
Fellowship Amount And Benefits
One of the major highlights of this PhD opportunity is the financial support offered under the FTIF scheme. The selected scholar will receive a monthly stipend of AED 4000 for up to four years. This support can help candidates focus on their research without major financial pressure.
In addition to the monthly fellowship, the position also includes a contingency grant of AED 2500 per year. This grant may support academic and research-related expenses.
The fellowship also offers several additional benefits, including subsidised hostel accommodation, student visa support, medical insurance and airfare support at the time of joining and return journey after completion. Flexible fee payment options are also available.
There may also be a possible performance-based increase in the fellowship amount after two years. This makes the opportunity attractive for candidates who are serious about producing quality research output during the programme.
Who Can Apply?
The fellowship is open to full-time research scholars with academic backgrounds in relevant disciplines. Candidates with M.Tech, M.Sc., B.Tech or equivalent degrees in Computer Science, Electronics and Communication, Electrical Engineering or related specialisations may apply.
Applicants with proficiency in Python and AI or machine learning frameworks will be preferred. Since the research involves computational work, programming knowledge and practical exposure to AI/ML tools can be an advantage.
Candidates who have prior research experience, especially those with publications at undergraduate or postgraduate level, may also have a stronger profile. However, the most important requirement is a clear interest in research and the ability to work full time on advanced technical problems.
Why This Fellowship Is Important
This fellowship is important because it connects artificial intelligence with real-world healthcare challenges. AI and medical image research are among the fastest-growing areas in modern technology. From disease detection to predictive healthcare, these fields are shaping the future of medical diagnostics.
For Indian and international students looking for funded PhD opportunities abroad, the BITS Pilani Dubai FTIF Fellowship offers a strong platform. It combines financial assistance, faculty mentorship, research exposure and access to an international academic environment.
The fellowship can also help candidates build a strong academic profile for future careers in research labs, universities, healthcare technology companies, AI startups and biomedical innovation centres.
Application Process
Interested candidates must submit a detailed CV along with a cover letter. The CV should include academic details, technical skills, research experience and list of publications, if any.
The cover letter should clearly explain the applicant’s motivation for applying, their fit for the project and their interest in AI, medical imaging or computational diagnostics.
Applications must be submitted through the official Google form mentioned in the fellowship announcement.
Important Dates
| Event | Date |
| Application Deadline | 17 July 2026 |
| Expected Date of Joining | 1 September 2026 |
| Screening Process | Within a week after deadline |
| Interview Mode | Online or in person |
Shortlisted candidates will first go through preliminary screening. After that, they may be invited for a brief online interaction. Final interviews may be conducted either online or in person.
Career Scope After This PhD
A PhD in AI, medical imaging and computational diagnostics can open multiple career pathways. Scholars may work as researchers, faculty members, data scientists, AI engineers, biomedical computing specialists or healthcare technology consultants.
The research experience gained through this fellowship can also support careers in medical AI companies, diagnostic technology firms, hospitals using AI-based systems, academic institutions and global research organisations.
Since the project involves both AI and healthcare applications, candidates can develop expertise in a niche but highly valuable domain.
Conclusion
The BITS Pilani Dubai Campus PhD FTIF Fellowship 2026 is a strong opportunity for candidates interested in advanced research in artificial intelligence, medical imaging and healthcare diagnostics. With a monthly stipend of AED 4000, additional grants, accommodation support, visa assistance, medical insurance and airfare benefits, the fellowship provides both academic and financial support.
For students with backgrounds in computer science, electronics, electrical engineering or related fields, this fellowship can be an important step toward a research-driven career. Candidates with programming skills, AI/ML knowledge and interest in healthcare innovation should consider applying before the deadline.
FAQs
1. What is the BITS Pilani Dubai FTIF Fellowship 2026?
It is a funded full-time PhD research fellowship offered by BITS Pilani, Dubai Campus under the Full Time Scholars Institute Fellowship scheme.
2. What is the stipend amount for the fellowship?
Selected scholars will receive AED 4000 per month for up to four years, along with a contingency grant of AED 2500 per year.
3. What are the main research areas of this PhD position?
The research focuses on AI, machine learning, signal and image processing, computational medical image analysis, genomic data analysis and AI-based medical diagnostics.
4. Who is eligible to apply?
Candidates with M.Tech, M.Sc., B.Tech or equivalent degrees in CS, EC, EE or related fields can apply. Python and AI/ML framework knowledge is preferred.
5. What is the last date to apply?
The application deadline is 17 July 2026, and the expected joining date is 1 September 2026.