Topic: statistical inference

Build scalable computational pipelines for biophysical models of neurons and neural populations. Apply machine learning and statistical inference to neural recordings, construct biologically realistic networks and help shape research directions at an early-stage company working at the intersection of neuroscience and computation. On-site engagement is preferred and international candidates may apply. The advertised salary range is USD 132,000–259,000; no fixed closing date is stated.

Carry out independent and collaborative research in numerical analysis, machine learning, statistical inference, computational biophysics or scientific computing at the Center for Computational Mathematics. Fellows receive mentoring, computing resources and a travel/research budget, contribute to publications and potentially open-source software, and may mentor summer students. Appointments initially last two years and may be renewed for a third based on performance. The anticipated start is July–October 2027. This is a New York City onsite position allowing one day per week working from home.

David Kipping considers how to reason about extraterrestrial life when evidence is scarce. The discussion covers promising places to search, the interpretation of possible biosignatures and the role of statistical inference, alongside questions about habitable worlds and moons beyond our solar system.