Drimva

Google

Radiological Expert, DeepMind

New York, NY, USA · Full-time · Posted Oct 13, 2026

Experience
3 years of research experience with US national laboratories or security initiatives; PhD and postdoctoral research experience required.
Education
PhD in Particle Physics, Plasma Physics, Nuclear Engineering, or a related field.

About the job

Evaluates and mitigates radiological and nuclear safety risks from frontier AI models through threat modeling, capability evaluations, and mitigation design.

What you'll do

  • Develop threat models and evaluation datasets for radiological and nuclear dual-use capabilities.
  • Collaborate with engineers to design mitigations while preserving scientific utility; develop frameworks to quantify model capability and potential consequences.
  • Support nuclear safety policy and communicate risks, findings, and mitigation strategies to stakeholders.

What they ask for

  • PhD and postdoctoral research experience in Particle Physics, Plasma Physics, Nuclear Engineering, or a related field.
  • 3 years of research experience with US national laboratories or security initiatives.
  • Research or policy experience in radiological/nuclear security, safeguards, nonproliferation, material control, or threat reduction.
  • Experience in radiation/neutron transport, reactor monitoring, detection, dosimetry, shielding defeat, and RDD/RED mechanics.

Nice to have

  • Experience applying ML to radiation detection, detector calibration, or nuclear/particle event reconstruction.
  • Experience in AI safety, evaluations, red-teaming, or applied AI research.

Pay

$174000 - $252000 (USD) base salary

Tools

ML, Python, C++

AI focus

Evaluates and mitigates how frontier AI models could enable harmful radiological and nuclear capabilities, including developing capability evaluations and safeguards.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)