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Lonneke van der Plas
Has grant
Associate Professor of Natural Language Processing
Research Interests
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About
Dr. Lonneke van der Plas is an Associate Professor at the Università della Svizzera italiana in Switzerland. Her research areas focus on the interactions and functions of non-coding RNA, the linguistic characteristics of conspiracist texts, and the linguistic criteria for compoundhood in English. She leverages artificial intelligence in her studies to decode complex interactions in her field.
Recent Grants
Grant: Open
Decoding non-coding RNA functions with biologically informed artificial intelligence
Open Date: 2026-04-01
Close Date: 2030-03-31
Grant: Open
ORIENTER: tOwards undeRstanding and modelling the language of mENTal health disordERs
Open Date: 2025-07-01
Close Date: 2029-06-30
Grant: Open
AI Insights to the Public through bi-directional media channels (AI2Pub)
Open Date: 2025-04-01
Close Date: 2028-03-31
Grant: Open
NCCR Evolving Language (phase II)
Open Date: 2024-06-01
Close Date: 2028-05-31
Grant: Open
Synthesizing eye-tracking data for natural language generation and evaluation (EyeNLG)
Open Date: 2024-06-01
Close Date: 2028-05-31
Positions (1)
Lonneke van der Plas
Università della Svizzera italiana
4 months ago
Università della Svizzera italiana (USI) is advertising a fully funded postdoctoral position in Natural Language Processing (NLP) within the SATURNA project in Lugano, Switzerland. The role sits in the USI NLP Lab and focuses on drawing parallels between text sequences and RNA sequences , using advances in NLP to learn informative representations of RNA. The project is highly interdisciplinary and connects large language models , graph deep learning , knowledge-enhanced AI , computational biology , and translational science. The postdoc will work under the supervision of Prof. Lonneke van der Plas and collaborate with researchers and PhD students across USI, EPFL, the Idiap Research Institute, the University of Bern, and the National University of Singapore. The broader SATURNA initiative aims to decode RNA structure, modification, and function for therapeutic development, with scientific themes including language models for RNA sequences, graph-based machine learning, knowledge-augmented RNA modeling, computational RNA biology, and RNA therapeutics. Funding: the position is fully funded for 2 years and is renewable for another 2 years . Eligibility/fit: candidates should have strong interests in NLP and machine learning, especially transformer-based models, interpretability, benchmarking, and interdisciplinary AI for biology. Collaboration across institutions is a key part of the role. Application: screening starts on 2026-07-13 , and applications will be accepted until the position is filled. Interested candidates should apply via the provided link.
4 months ago
Articles (4)
Year:
2026
Year:
2025
Year:
2024
Year:
2020
Collaborators (2)
Raphaelle Luisier
Tenure-track assistant Professor
University of Bern
Rickie Patani
Chair, Neuroscience Translational Research Programme
National University of Singapore (NUS)
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