PhD Position in AI-Driven Literature Mining and Hypothesis Discovery for Sustainable Agriculture
Hairong Wei, Professor of Bioinformatics and AI at Michigan Technological University, is recruiting a highly motivated PhD student for a fully funded research assistantship in
AI-driven literature mining and hypothesis discovery for sustainable agriculture
.
The project,
AgriMIND
, focuses on building AI systems that can discover hidden relationships and generate evidence-supported hypotheses from large-scale scientific literature. Research topics include
natural language processing
,
scientific text mining
,
large language models
,
retrieval-augmented generation
,
transformer models
such as SciBERT and PubMedBERT,
semantic retrieval
,
relation extraction
,
evidence ranking
,
knowledge graphs
,
ontology-guided reasoning
,
machine learning
, and
deep learning
.
The work will involve mining large literature collections from sources such as PubAg, AGRICOLA, and PubMed, and developing AI tools for scientific hypothesis generation and evaluation. The long-term goal is to transform fragmented agricultural literature into structured, interpretable knowledge that supports evidence-based discovery across genetics, physiology, agronomy, and environmental science.
Preferred applicants have strong training in
computer science
,
artificial intelligence
,
machine learning
,
data science
,
bioinformatics
, or a related field. Helpful technical experience includes Python, NLP, transformer models, LLMs, PyTorch or TensorFlow, Hugging Face, knowledge graphs, and large-scale text mining. Prior experience in plant biology or agriculture is not required.
The position is located at
Michigan Technological University
in
Houghton, Michigan, USA
. Funding is fully guaranteed for two years, with the possibility of extension beyond that period.
To apply, email
[email protected]
with a CV, academic transcripts, a brief statement of research interests, and examples of relevant AI/ML projects or publications.