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Job description
Staff Researcher IV: Applied Mathematician
Atlanta, Georgia, United States Scientific Staff
About the job Staff Researcher IV: Applied Mathematician
Company Overview
Hexagon Lavish® , a subsidiary of its parent entity, The AntiArtificial Company , is a scientific research and development startup in Atlanta, Georgia. The company has now evolved into a small company that's devoted to utilizing "unorthodox" research methodologies and uncompromised use of mathematics and science.
DUBL ï (pronounced " double-eye ") will be a resultant product from the network platform, D.N.A. ( Distributional Network Application ). DUBL ï will be designed as software for immediate detection, distinction, classification, and analysis.
Position Overview
Hexagon Lavish® is a scientific research and development startup in Atlanta, Georgia that has an opening for a full-time/permanent position for an experienced staff researcher to work in the capacity of a Applied Mathematician .
The experienced staff researcher, working in the capacity of a Applied Mathematician , will engage heavily in developing advanced algorithms to be implemented for signature "motion" for the DUBL ï "mobile application" in addition to the gaming environment for the "temporary" website. This position will also be deeply-involved in development for consequential analysis, numerical modeling of the IRCs (informational return channels), time analysis, image processing, finite elements as well as Monte Carlo techniques that are applicable to (practical) execution on information structure and retrieval.
The experienced staff researcher, working in the capacity of a Applied Mathematician , will be working closely with the Biostatistician in orchestrating the informational libraries for DUBL ï detection, distinction, retrieval, and execution "motions" in association with the "mobile app" (if plausible).
KEY RESPONSIBILITIES :
Research topics and subject matter independently as well as in collaboration with other staff
Assist in developing and maintaining information sources
Provide support for execution of data analyses and assess the compatibility of existing and proposed statistical methods and analytical tools with project/study design and objectives
Provide actionable recommendations to resolve statistical/analytical issues
Provide statistical analysis and scientific writing to develop abstracts, manuscripts, presentations, etc.
Develop and review protocols, development of sampling plans, apply appropriate statistical methods to the analysis of program and project data, and implement statistical software applications
Develop, implement, and maintain best practices related to data collection, data management, and data analysis standards, protocols, and procedures
Contribute to the design and analysis of algorithms for mathematical optimization and machine learning, and to the modeling for complex design, decision, and inference problems
Collaborate in the development and application of software instantiations of numerical algorithms
Bring creative and innovative perspectives by proposing algorithmic approaches, models, and solutions
Document work and results in the form of journal papers and conference proceedings, and present work and results at scientific meetings and conferences
Develop and prove math models for games that demonstrate game probabilities and return to player via theoretical calculation and/or simulation
Develop an understanding of competitive products and technologies
Leverage knowledge of nonlinear dynamics, stochastic processes, and high-dimensional chaos to interpret and model brain-like systems
Address intricate challenges by using mathematical and computational methods to craft and refine neuromorphic models
Synthesize principles from topology, geometry, and abstract algebra to provide unique insights into complex system behavior and neural network architecture
CHARACTER PROFILE :
Ph.D. in Applied Mathematics, Computational Neuroscience, or closely related field, with significant academic work related to dynamical systems, complex systems, and chaos theory
Demonstrable understanding of a broad spectrum of mathematical disciplines, including but not limited to topology, abstract algebra, geometry, nonlinear dynamics, and stochastic processes
Proven track record of problem-solving through mathematical modeling and simulation, particularly regarding complex, chaotic, or dynamic systems
Exceptional collaborative and communication skills, bridging complex mathematical concepts with interdisciplinary informational research needs
Teamwork and the ability to clearly communicate complex ideas
Apply safety-related knowledge, skills, and practices to mundane duties and responsibilities to work
PERSONAL CHARACTERISTICS :
Contribute to the statistical endeavors of the company's projects
Ability to form team consensus on design choices and execution plans
Strong analytical skills; experience interpreting strategic plans and changes in how services are delivered into a long-term sustainable operating model
Excellent relationship-building skills with an ability to communicate and work effectively with a variety of internal and external stakeholders
EXPECTATIONS OF ABILITIES :
Strong interpersonal skills
Excellent communication skills, both verbally and in written form
Must demonstrate an understanding and acceptance of the Hexagon Lavish® mission, vision, and values
Harbor the ability to work well with people and be able to work efficiently and effectively as an integral part of an interdisciplinary team
Must demonstrate a high degree of integrity, trustworthiness, respect for others, and the ability to deal appropriately with confidential and sensitive information
Hexagon Lavish® is an equal opportunity employer and sets a fair-point perspective on all candidates
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Worksite address
atlanta, GA, 30383, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.