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Premjith B

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1 month ago

Postdoctoral Research Fellowship in Multimodal Data Analysis for Low-Resource Languages at Amrita Vishwa Vidyapeetham Amrita Vishwa Vidyapeetham in India

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 31, 2026

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Country

India

University

Amrita Vishwa Vidyapeetham

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Keywords

Computer Science
Electrical Engineering
Information Technology
Deep Learning
Natural Language Processing
Computer Vision
Computational Linguistics
Linguistics
Large Language Models

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About this position

Amrita Vishwa Vidyapeetham, Coimbatore Campus, is inviting applications for a Postdoctoral Research Fellowship in Multimodal Data Analysis for Low-Resource Languages at the Amrita School of Artificial Intelligence.

This opportunity is centered on research in multimodal AI, including text, speech, image, and video analysis, large language models (LLMs), multimodal LLMs, low-resource and Indian languages, and multimodal representation learning. The selected researcher will contribute to multilingual and multimodal AI research, dataset creation, innovative AI systems, collaborative projects, and high-impact publications.

Eligibility highlights: a Ph.D. in Computer Science, Artificial Intelligence, Data Science, Computational Linguistics, Electrical Engineering, or a related field; a strong publication record; and experience in NLP, computer vision, speech processing, multimodal machine learning, deep learning, or generative AI. Proficiency in Python and frameworks such as PyTorch or TensorFlow is expected.

Location: Coimbatore, Tamil Nadu, India

Deadline: 31 July 2026

Apply here: https://lnkd.in/gmzy5bMH

Contact: [email protected]

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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