Principal Research Scientist (Computer Science / Computational Physics)
Posted 1 day ago
You'll complete your application on micro1's career site.
About the Role
This Principal Research Scientist role bridges the gap between AI and computational theory, allowing you to utilize your deep expertise on sophisticated projects. You will support the development of future AI by supplying high-caliber, practical data that influences how these models think, reason, and function. Although prior AI experience is not required, you must have advanced knowledge in computational physics or computer science to help resolve complex research questions. By collaborating with advanced AI models and agents, you will help set the benchmark for scientific innovation and deliver the analytical depth required to make significant advancements in your specific area of study. This is a contractor role that provides a flexible schedule, enabling you to conduct research that tests current theoretical limitations and expands the capabilities of machine intelligence.
Requirements
- You should possess seven to ten years or more of professional research experience in computer science or mathematical and computational physics, backed by a robust background of academic achievements.
- You need to hold field-recognized credentials, such as fellowships, major awards, or keynote invitations for notable research conferences.
- You are expected to demonstrate a steady and recent history of published work, alongside a track record of solving notable open problems or creating impactful ideas.
- You must demonstrate extensive, practical proficiency with computational research techniques, specifically high-performance computing, numerical analysis, and simulation.
- It is highly beneficial to have expertise with formal research software like Coq, Lean, or SMT/SAT solvers, as well as experience serving on editorial boards or program committees.
Responsibilities
- You will be tasked with defining, structuring, and describing fundamental open research questions and theoretical hurdles that lead to measurable outcomes.
- Your work involves leading AI systems through complex, multi-stage research workflows, which includes creating algorithms, proofs, high-performance simulations, and numerical tests.
- You will verify and evaluate outputs produced by models by using formal verification techniques and computational reproduction to identify reasoning gaps.
- Additionally, you will determine the value of research findings, write brief reports summarizing trends or constraints, and provide recommendations for future research paths that could benefit from AI integration.
Benefits & Perks
- This is a contract-based position that provides the ability to set your own schedule, with choices for either full-time or part-time availability.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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