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Postdoctoral Researcher Sample Resume Format in Word Free Download

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Sample Template Example of Beautiful Excellent Professional Curriculum Vitae / Resume / CV Format with Career Objective, Job Description, Skills & Work Experience for Freshers & Experienced in Word / Doc / Pdf Free Download
Stewart Roybal
2051 Pilot Rilcy Rd, Darien, FA 50215
 (704)692-1521 ● stewart.roybal52@hotmail.com

Objectives
Seeking a challenging position in the field of software development, applied mathematics, computational physics, data mining, pattern recognition as an algorithm and code developer

Professional Summary of Skills
  • Applied Mathematics: Algorithms, Numerical Methods, Graph theory and Complex Networks in application to data analysis, Computational Biophysics and artificial Neural Networks.
  • Physics: Percolation theory, Phenomena in Inhomogeneous media, Deterministic Chaos theory and Numerical Experiments, Non-destructive testing applications.
  • Computer Programming and Languages: Python including NumPy, SciPy and Networks (over 7 years), C/C++, including STL, Boost, uBLAS, LAPACK (over 4 years), Java (over 2 years), Fortran (over 1 year),  MatLab including various Toolboxes: Neural Networks, Statistics, Optimization, PDE (over 10years).
  • Operating Systems: Windows, Linux.

Professional Experience

Clemson University, Lab of Computational Biophysics - Clemson, SC (January 2011 to February 2012)                   
Postdoctoral Researcher/ Python Developer
  • Developed algorithms and computer code for solution of the Poisson-Boltzmann equation.  Electrostatic potential in systems comprised of biological macromolecules and water phase is described by a 2nd order elliptic partial differential equation, known as the Poisson-Boltzmann equation (PBE). DelPhi is a PBE solver which adopts finite difference method to solve this equation numerically and has been widely recognized in the biological community due to its efficiency and accuracy. In this project, we developed new numerical algorithms and computer code, performed an efficient parallel computing technique via the unique implementation of Gauss-Seidel iteration method in DelPhi to extend its capacity for solving larger and more complicated super molecular structures. Project is in the progress.
    • Tools: C/C++, Fortran (77 and 90), GNU, Linux.
  • Designed systems for DelPhi (program to solve the Poisson-Boltzmann equation) testing.  System has to run our “Main Software” than make parsing of output files and extract necessary data. And do compare with known results and make report. It should be repeated many times for different criterions (conditions). It is possible to add different tests to system. Project is in the progress.   
    • Tools: Python’s version is 2.7, Windows – PyScripter; Linux – Eric and Eclipse.

Bogolyubov Institute for Theoretical Physics of the NAS - Kiev, Ukraine (January 2005 to December 2010)
Research Associate/Python Scientific Programmer (May 2007 to December 2010)
  • Applied physical and mathematical methods for modeling of Complex Networks.  A concept of implicit links in Complex Networks has been defined.  Introducing a new value – cohesion factor, which allows to evaluate numerically the presence of such connection between any two nodes of network
  • Introduced the generalization of such characteristics as the interconnectivity which allows ranking the network nodes in a more detailed manner.
  • Proposed a model of wealth distribution in the human societies based on Complex Networks properties. Numerical simulation of wealth distribution demonstrates transition from the Pareto law to a distribution with the gap indicating absence of the «middle class».
  • Project was successfully completed. All calculations for the next articles were done with Python.
    • http://arxiv.org/ftp/arxiv/papers/1008/1008.4073.pdf
    • http://arxiv.org/ftp/arxiv/papers/1010/1010.2173.pdf
  • Tools: Python’s version 2.6, NumPy, SciPy and NetworkX.

Junior Research Fellow (January 2005 to May 2007)
  • Developed analytical and numerical methods for modeling of the inhomogeneous media. Applied the percolation theory to thermoelectric composites. Project was successfully completed.
  • Tools: C/C++, Matlab.

ROSEN Inspection Technologies Lingen (Ems) - Germany (April 2004 to December 2010)
Senior R&D Engineer/Applied Mathematician & Python Developer – PART TIME
  • Developed Artificial Neural Networks based systems for automatic recognition and classification of ultrasonic and magnetic non-destructive testing signals.
    • System has to read a big database of signals and do DSP (digital signal processing): applying of various filters, FFT (Fast Fourier Transform), eigenvalues of incidence matrix. Project was successfully completed.
    • Tools: P                ython’s version is 2.6, NumPy and SciPy.
  • Designed and implemented a new method of solving Ill-posed problem encountered in real magnetic flux leakage (MFL) signals.  Developed method made it possible to calculate the MFL field of a given defect for any parameterized shape on a standard PC, without the use of expensive modeling software. Project was successfully completed (see A. Snarskii, M. Zhenirovskyy et all - NDT and E International (June 2010), 43 (4), pg. 343-347).
    • Tools: C/C++, Java, Matlab.

Education
  • Ph.D. in Physics, Institute of Physics of the National Academy of Sciences, Kiev, Ukraine 2005.
  • M.S. in Electrical Engineering (2000) B.S. in Electrical Engineering (1998), National Technical University of Ukraine “Kiev Polytechnic Institute”, Kiev, Ukraine.

Publications
Authored and co-authored more than 20 journal and conference papers and a monograph (to be published) List of publications and presentations is available upon request.



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