A place to identify/discuss challenges facing laboratory autonomy and opportunities to take action to address them.

Accelerated discovery focuses on sustainable materials and molecules for applications such as solid-state materials for energy storage, nanoparticle formulations, soft materials for electronics, organic small molecule drugs, and more.

Accelerated discovery tools include topics such as machine learning algorithms, robotic control, materials simulations, characterization and synthesis techniques, materials databases, and ontologies.

This job board can be used to post jobs directly related to accelerated discovery within the physical sciences. Please follow the provided template when creating a new post, and include any additional information that you think is necessary. An example is provided at https://accelerated-discovery.org/t/ai-and-automation-staff-scientist-at-the-acceleration-consortium-example/261.

Accelerated discovery requires ethical and equitable translation ecosystems in terms of commercialization, training, education, access, and more.