Gramian Consulting Group
LLM Training - Scientific Programming in Math - PhD or PhD candidates
Be an Early Applicant
Design and solve graduate- or research-level mathematical problems, implement scientific solutions in Python, define problem taxonomy and difficulty, participate in two-tier reviews, collaborate with reviewers and leads, and incorporate feedback. Requires 8-hour daily commitment with four hours overlapping PST.
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 Overview
We 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 Python.
- Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels.
- Rigorously solve formulated problems using sound principles, ensuring absolute accuracy, reliability, and logical coherence of the solution path.
Quality Assurance & Collaboration:
- Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutions.
- Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly.
Commitments 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 weeks
Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico
Selection process: Profile Review and Job Questionnarie
Requirements
- PhD or PhD Candidates in Computational Mathematics
- Has published at least 1 peer-reviewed paper
- Advanced proficiency in Python programming for scientific coding
- Excellent analytical, logical thinking, and problem-solving skills
- Strong written and verbal communication skills for clear documentation and collaboration
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