Post Doctorate Scientific Lead
About Squoosh.AI
Squoosh.AI is a frontier AI research lab dedicated to bridging the gap between Large Language Models and the physical sciences. We don’t just build chatbots; we build Discovery Engines. Our mission is to accelerate scientific breakthroughs in materials science, energy, and engineering by creating models that truly understand the laws of nature.
The Role
We are looking for elite PhD researchers to serve as the "Subject Matter Architects" for our next generation of scientific models. At Squoosh.AI, you aren't a coder—you are the teacher. You will guide our AI models to move beyond simple text prediction and into the realm of complex scientific reasoning.
Note: No prior experience in AI or Computer Science is required. We value your deep domain expertise above all else.
Key Responsibilities
Knowledge Architecture: Identify and curate the highest-quality research papers, experimental datasets, and theoretical frameworks to train our domain-specific models.
Scientific Validation: Review and "Red-Team" model outputs. You will be the final authority on whether an AI-generated hypothesis is physically viable or a scientific "hallucination."
Logic Mapping: Translate complex scientific principles (e.g., thermodynamics, molecular stability, structural integrity) into logical guardrails for our engineering team.
Frontier Research: Set the "Grand Challenge" agendas for the AI to solve, focusing on high-impact areas like carbon-neutral cement, high-efficiency batteries, or novel alloys.
Qualifications
Education: PhD (completed or near completion) in Materials Science, Nuclear Engineering, Physics, Civil Engineering, Agronomy, or a related field.
Scientific Intuition: A proven track record of deep-level research and an ability to reason from first principles.
Critical Thinking: Ability to evaluate experimental data and identify flaws in theoretical logic.
Communication: Ability to explain high-level scientific concepts to a team of non-expert Machine Learning engineers.