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Harpreet Singh

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Postdoctoral Fellow and Joint PhD Opportunity in Artificial Intelligence, Data Science, Biomaterials, and Biomedical Engineering at Thapar Institute of Engineering & Technology Thapar Institute of Engineering & Technology in

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

Thapar Institute of Engineering & Technology

University

Thapar Institute of Engineering & Technology

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Keywords

Computer Science
Data Science
Chemistry
Biomedical Engineering
Materials Science
Biotechnology
Biology
Artificial Intelligence
Wound Healing
Salud Pública
Hydrogel
Biomaterials

About this position

Proton BioSystems Lab at Thapar Institute of Engineering & Technology (TIET), Patiala is advertising a Postdoctoral Fellow (PDF) opening and also references a fully funded Joint PhD opportunity under the TIET–University of Queensland–PGIMER collaboration.

The postdoctoral project is titled “Multimodal AI-based Predictive Design of Bioactive Hydrogels for Precision Therapy of Diabetic Chronic Wounds”. It is an interdisciplinary research project combining Artificial Intelligence, Data Science, Computer Science, Biomaterials, Biotechnology, Wound Healing, and hydrogel-based therapeutic design. The work is hosted at the Proton Biosystems Lab, Department of Computer Science and Engineering, TIET Patiala, with investigators including Dr. Saif Nalband, Dr. Harpreet Singh, and Prof. Manoj Baranwal.

The PDF position is full-time, temporary, and co-terminus with the project. Funding is ₹60,000 per month for 2 years, with 1 vacancy. Applicants are expected to hold a PhD in Biotechnology, Biochemistry, Pharmaceutical Sciences, Biomedical Engineering, Materials Science, Chemical Engineering, Computer Science Engineering, Artificial Intelligence, Data Science, or a related field. At least one SCI-indexed publication is required, and experience in hydrogels, biomaterials, drug delivery, nanomaterials, cell culture, wound healing, and AI/ML in healthcare is preferred.

The post also mentions a fully funded Joint PhD opening under TIET, the University of Queensland, and PGIMER Chandigarh, aligned with the TIET–UQ Centre of Excellence in Data Science and Artificial Intelligence (CoDSAI). The visible text indicates a project on decision-making in nephrology, but the full project details and eligibility are not fully shown in the excerpt.

Application: For the PDF role, candidates should submit their CV through the provided Google Form/application link within one week of the advertisement. Only shortlisted candidates will be contacted for interview. For queries, the post lists Dr. Saif Nalband and the TIET contact emails.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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