
Advanced Researcher
2 days ago
Job Overview:
We are seeking researchers with strong physics and analytical backgrounds to contribute to the development of large language models (LLMs). Your work will focus on fine-tuning and evaluating LLMs to improve their understanding and solution of complex physics problems.
Research Objectives:
- An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Determine the maximum radial distance the electron reaches from the conductor's axis due to the magnetic field generated by the current.
- A high-energy pion travels through a material, losing energy at a constant rate. Calculate the probability that it decays within a certain distance from its origin given its rest mass and proper lifetime.
These tasks are designed to identify model weaknesses and improve training and evaluation workflows.
Candidate Profile:
- 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.
Engagement Details:
- Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST.
- Duration of engagement: 1 month.
Selection Process:
Task-based assessment for shortlisted candidates, followed by an engagement offer with defined timelines and workload.
About This Opportunity:
Contribute to the advancement and deployment of powerful AI systems, shaping next-generation AI benchmarks, and gaining exposure to cutting-edge model evaluation strategies.
Benefits:
- Work on research directly impacting the future of language model performance in mathematics and STEM.
- Collaborate with a global network of experts.
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