Researcher : Computational Physicist

Staff Researcher I:
Computational Physicist

Atlanta, Georgia, United States Scientific Staff

Hexagon Lavish® , a subsidiary of its parent entity,
The Anti Artificial 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. ( D istributional Network Application ).
DUBL ï will be designed as software for immediate detection, distinction, classification, and analysis.

Hexagon Lavish® is an antiartificial scientific R&D startup in Atlanta, Georgia that has an opening full-time/permanent position for an experienced Staff Researcher I:
Computational Physicist who will direct an engaging focus in conducting the computational aspects of the startup and developing the computational research channels for the startup.

The experienced Staff Researcher I:
Computational Physicist will be working on the expansion of the DUBL ï product and will be responsible for the initiation, design, development, execution and implementation of long-term DUBL ï-associated scientific research projects. The Staff Researcher I:
Computational Physicist will also be obligated to provide assistance to all research scientist personnel in the R&D department.

The experienced Staff Researcher I:
Computational Physicist will report weekly to the Chief Science Officer and provide status reports. The experienced Staff Researcher I:
Computational Physicist for this position will function in the capacity of a researcher with the responsibility of providing assistance to the Hexagon Lavish® Team in developing the scientific foundation for the D.N.A. (Distributional Network Application) platform and future research in other projects.

The experienced Staff Researcher I:
Computational Physicist will work with the program architecture staff to develop series of modeling applications of the DUBL ï products and conduct research on computational algorithms that will model the physics to exist within the program’s architecture. Prime candidacy for this position is looking to reward individuals for those who express exceptional skills in conducting research in protein folding, thermal modeling, finite element analysis and especially optics (including sequential and non-sequential ray tracing).

Essentially, being prodigious in computer vision is also a requirement.

This position requires a Ph.D.

All applicants for scientific, mathematical or technical positions will be subjected to a pre-interview questionnaire.

• Contribute to the planning and architecture of new software projects
• Investigate alternative algorithms and approaches to enable additional software features and improve computational performance
• Verify, validate, and compare new algorithms
• Work with the team to test the software as part of a three-dimensional imaging system, including laboratory testing, data processing, and image reconstruction and analysis
• Visualize results and generate test plans for further system improvements
• Work independently and in collaborations within a diverse group of technically inclined people working to advance multiple projects
• Document software (source code, user’s guide, etc.)
• Quickly learn and apply math, physics, and software skills as needed to accomplish project goals
• Six or more years of experience developing complex computational algorithms and/or scientific software
• Five or more years of experience with C/C++ and/or Java
• Demonstrable expertise applying, defining and validating computational approaches to deliver insights and/or hypotheses, e.g., multivariate, Bayesian/non-Bayesian machine learning techniques
• Relevant industrial research and development experience in addition to formal training in computational physics/chemistry, computer science, applied mathematics or statistics
• Rapid prototyping of algorithms
• Expertise in designing, prototyping and evaluating new…