Talent Recruitment Announcement at the College of Artificial Intelligence
Core
Developing intelligent decision-making algorithms, sensors, and equipment for agricultural AI, including bio-breeding, phenomics, and digital design breeding.
Role type
Research Scientist / AI Engineer / Postdoctoral Fellow (Agricultural AI)
Builds
Intelligent agricultural sensors, phenotyping platforms, data processing toolchains, and LLM-oriented fine-tuning workflows for smart agriculture.
Domain
Agricultural Artificial Intelligence, Bioinformatics, Plant Science, Geospatial Information Science
Deliverable
production ML models | product features | research
Required skills
algorithm design, machine learning, computer vision, data processing, multi-omics analysis, bioinformatics, geospatial modeling, neural networks, large language models
Preferred skills
experience in digital design breeding, multi-sensor data fusion, high-throughput phenotyping, genotype-phenotype association modeling
Technologies
Python, TensorFlow, PyTorch, HPC, remote sensing, multi-omics tools
Responsibilities
Develop intelligent decision-making algorithms for biological breeding; design and develop intelligent agricultural sensors; build high-throughput phenotypic data acquisition platforms; integrate and analyze multi-omics data; collect and process environmental data for breeding models.
Seniority
Senior, hands-on IC