LLM Training - Scientific Programming in Math - PhD or PhD candidates

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.Role OverviewWe are seeking a highly analytical and computationally proficient individual to join our team with a strong research background. You will be instrumental in contributing to this role by either crafting challenging and insightful problems in your respective research domain, devising elegant computational solutions.Responsibilities:Quantitative Problem Design and Solutioning:Develop and conceptualize original, research-grade or graduate-level scientific problems with scientific coding/ programming, using PythonRigorously define problem categories, secondary tags, and assign appropriate difficulty levelsRigorously solve formulated problems using sound principles, ensuring absolute accuracy, reliability, and logical coherence of the solution pathQuality Assurance & Collaboration:Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutionsCollaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptlyCommitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave)Duration of contract: 12 weeksLocation: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, MexicoSelection process: Profile Review and Job QuestionnarieRequirementsPhD or PhD Candidates in Computational MathematicsHas published at least 1 peer-reviewed paperAdvanced proficiency in Python programming for scientific coding Excellent analytical, logical thinking, and problem-solving skillsStrong written and verbal communication skills for clear documentation and collaboration