Topic: semantic web

Build an ontology-based knowledge graph connecting literature on plant pests and beneficial organisms with species traits and distribution data. The postdoctoral researcher will elicit competency questions, implement SPARQL queries, create visualization and exploration tools, and investigate graph-representation learning and link prediction. The position requires a doctorate, preferably in computer science, with Semantic Web, NLP or knowledge-modelling expertise; ecology or agronomy experience is valuable. Appointment: 1 year, 10 months; advertised start 2027-01-01.

Autopilot is a Python framework for performing complex behavioral neuroscience experiments by coordinating a swarm of Raspberry Pis. It was designed to not only give researchers a tool that allows them to perform the hardware-intensive experiments necessary for the next generation of naturalistic neuroscientific observation, but also to make it easier for scientists to be good stewards of the human knowledge project. Specifically, we designed Autopilot as a framework that lets its users contribute their technical expertise to a cumulative library of hardware interfaces and experimental designs

Many of the collaborations we encounter in our scientific careers are centered on a common idea that can be associated with certain resources, such as a dataset, an algorithm, or a model. All partners in a collaboration need to develop a common understanding of these resources, and need to be able to access them in a simple and unambiguous manner in order to avoid incorrect conclusions especially in highly cross-disciplinary contexts. While digital computers have entered to assist scientific workflows in experiment and simulation for many decades, the high degree of heterogeneity in the field