Build the next generation
of NE language AI
A competitive 8–12 week remote fellowship for students and early-career researchers working on language technology for Northeast India’s indigenous languages.
Applications reviewed on a rolling basis. Early applicants are prioritised.
8–12wk
Fellowship Duration
16+
Languages covered
ACL and more..
Target publication venues
What you’ll work on
01
Language model development
Build and evaluate transformer-based language models for Northeast Indian languages, including newer methods for language modelling, Low resource constrained methods etc.
02
Dataset creation
Design and curate high-quality text, speech, and annotation datasets. Work with communities to collect authentic, consent-based data for low-resource languages.
03
Tools and applications
Develop tools and applications that support language preservation and access, from evaluation benchmarks to deployable demos targeting real community use cases.
What you’ll gain
Research impact
Co-authorship opportunities on papers targeting ACL, EACL, EMNLP, and AACL. NLP mentorship from the MWire Labs research team and external collaborators.
Recognition
Fellowship completion certificate from MWire Labs. Public recognition across MWire Labs’ platforms, HuggingFace, and academic papers. Reference letters available.
Community
Join a network of fellows focused on Northeast India’s languages. Collaborate with researchers and practitioners building AI that will reach millions of speakers.
Who should apply & current focus
Who should apply
- Undergraduates or graduate students in CS, AI, Linguistics, or related fields
- Native or heritage speakers of Northeast Indian languages, strongly encouraged
- Students from anywhere welcome; Northeast India residents and diaspora especially encouraged
- Prior ML/NLP experience is a plus, strong motivation and basic data skills can compensate
- Passion for language technology, cultural preservation, and open research
Current focus areas
- Language modelling and multilingual NLP for any Northeast Indian language
- Dataset creation for text, speech, and multimodal resources
- Translation systems and cross-lingual models
- Speech recognition, synthesis, and evaluation benchmarks for low-resource languages
- MT evaluation failure for morphologically rich low-resource languages
Apply for the fellowship
Timeline
- Applications reviewed monthly
- Shortlisted candidates may be invited for a brief call or task
Questions? Email connect@mwirelabs.com
Meet the Current Fellows
Handaka Paia Manar
B.Sc. St. Edmund's College,
Shillong, Meghalaya
Satyanarayan Mohapatro
B.Tech (CS),
MIT Art, Design & Technology University, Pune
Fitha Asma Sulfeekhar
B.Tech (CS),
TKM College of Engineering, Kollam
Riya Tekcham
B.Tech (CS), NERIST,
Imphal, Manipur
Mathias Becerra-Sanchez
B.S. Symbolic Systems,
Stanford University, California
Ready to deploy AI
in your language?
Government departments, NGOs, developers, researchers; we work with all of them. Let’s talk about what you’re building.