
Highly Skilled Physicist Wanted for Advanced Research Project
3 days ago
We are seeking researchers with strong Physics and analytical backgrounds to refine and evaluate large language models (LLMs).
These LLMs will help solve complex physics problems, including multi-step conceptual or quantitative questions in mechanics, electromagnetism, thermodynamics, and quantum theory.
- Task 1: Determine the maximum radial distance an electron reaches from a current-carrying cylindrical conductor's axis due to the magnetic field generated by the current.
- Task 2: Calculate the probability that a high-energy pion decays within a certain distance from its origin given its rest mass and proper lifetime.
These tasks aim to identify model weaknesses and improve training and evaluation workflows.
Requirements
- Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field.
- Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning.
- Communication Skills: Clarity in explaining complex topics and providing feedback with precision.
- Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions.
- Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments.
This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered.
Contract Details
- Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST.
- Engagement Type: Contractor assignment/freelancer.
- Duration of Contract: 1 month.
The selected candidate will undergo a task-based assessment followed by a contract offer with defined timelines and workload.
About the Opportunity
This role offers a unique chance to contribute to the advancement and deployment of powerful AI systems.
You will work on research that directly impacts the future of language model performance in mathematics and STEM.
Candidates will gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.
Collaborate with a global network of experts shaping next-generation AI benchmarks.
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