Physics Expert (Biophysics / Statistical Physics)

Imagine lending your deep understanding of the physical world to help shape the future of artificial intelligence. Here at micro1, we are on the hunt for brilliant minds in Biophysics and Statistical Physics, individuals who truly grasp the complex dance of microscopic systems. We invite you to join a groundbreaking research project where your expertise in areas like bacterial population dynamics or stochastic growth processes will directly inform and train the next generation of AI. Your contributions will not just be theoretical; they will be the vital, real-world input that teaches AI to reason more effectively and perform with greater sophistication. It is a unique chance to bridge fundamental science with cutting-edge technology, all from the comfort of your own workspace, anywhere in the world.

Overview

micro1 is actively seeking Physics Experts with a specialization in Biophysics or Statistical Physics for a fascinating contract role. This is a fully remote, worldwide opportunity where you will dive into a research-level project focused on a range of complex phenomena. We are exploring the intricacies of bacterial population growth, understanding stochastic two-state growth-rate switching, analyzing cell-size regulation noise, and determining asymptotic population growth rates. Your vital contributions will help train advanced AI systems, influencing how these models learn, reason, and ultimately perform. We emphasize that your profound domain knowledge is paramount; no prior experience in AI development is required. Based on your specific subfield expertise, seniority, and hands-on experience with relevant methodologies, participants may be considered for various assignments, including roles such as a Solver, an Auditor, or an Adjudicator.

Key Responsibilities

Analyzing and modeling stochastic two-state Markov processes, specifically those involving gamma-distributed waiting times within bacterial population dynamics.
Applying the Euler-Lotka equation to rigorously assess and benchmark asymptotic population growth rates across different noise regimes.
Developing new analytical approaches or critically reviewing existing ones through the use of perturbative expansions.

Requirements

A strong academic or professional background in Biophysics or Statistical Physics.
Demonstrated expertise in stochastic processes, particularly Markov processes.
In-depth familiarity with population dynamics modeling.
Proven experience applying the Euler-Lotka equation.
Solid understanding and practical experience with perturbative expansions.
An ability to contribute effectively to high-level, research-oriented projects.
While no prior AI experience is mandatory, a genuine enthusiasm for applying physics principles to advance AI systems is highly valued.

What You'll Gain

A direct opportunity to significantly impact the development of cutting-edge AI technologies.
The chance to work on challenging, frontier-of-science physics problems.
Collaboration with a forward-thinking and innovative company.
The flexibility of a fully remote work arrangement, allowing you to contribute from anywhere in the world.
Recognition and utilization of your deep domain expertise in a truly meaningful way.