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Data Scientist

Location:
Davis, California, United States
Salary:
90000-110000
Posted:
December 18, 2011
Email:
tfh28h@r.postjobfree.com
Contact Info:
****@*****.**


Joerg Rings

Address: *** ******** ******, ********* ***, Davis,

California 95616

Contact No.: 530.***.****

Email: tfh28h@r.postjobfree.com

Data Scientist

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Qualifications Summary

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Goal-oriented, highly accomplished, and curiosity-

driven professional, offering great level of

competence in applying advanced optimization and

machine learning methods in the analysis of data.

Equipped with excellent understanding of the most

efficient algorithms critical in attaining optimal

outcome; comprehensive exposure in numeric modeling of

complex interacting systems along with outstanding

ability in bridging and communicating technical

issues.

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Other core strengths include:

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Passionate and enthusiastic in building scalable

systems that tackle large data processing and

enthusiastic in providing actionable recommendation

toward successful attainment of organizational goals

Demonstrate keen attention to detail, and exceptional

ability in building and interpreting probabilistic

models of complex, high dimensional systems utilizing

Bayesian and Monte Carlo methods

Multilingual communicator; fluent in German and

English, with basic knowledge in French and Persian

languages

Proficient in using Python, MATLAB/Octave, C, C++,

Java, Perl, SQL, HTML/XML, CSS, Data Structures,

Knowledgeable about R, C#, Hadoop/MapReduce, Amazon

Web Services, Graph Algorithms and Linux

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Areas of Expertise

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Research and Development

Data Modeling

Time Series Analysis

Algorithm Implementation/Maintenance

Science Communication

Knowledge Transfer

Optimization and Machine Learning

Data Management and Analysis

Teaching Methods/Techniques

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Professional Experience

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Department of Land, Air and Water Resources,

University of California

Davis, CA, USA

Post-Doctoral Researcher

Apr 2011-Present

Assume lead role in developing and optimizing

parameters and transient states for a Tree Water

Uptake model

Exemplify high level of diligence in modifying and

utilizing Markov Chain Monte Carlo algorithms for

parameter estimation and time series analysis

Collaborate with other researchers and colleagues in

addressing issues and concerns associated with models

and optimization frameworks

Render vital contributions in enhancing the

accessibility and extent of newly developed modeling

and optimization methods in different scientific

disciplines

Institute for Chemistry and Dynamics of the Geosphere,

ICG4: Agrosphere at the Juelich Research Centre

Juelich, Germany

Post-Doctoral Researcher

Jan 2008-Mar 2011

Led the full implementation of an innovative framework

for coupling hydrological and geophysical models while

estimating hydrological property probability

distributions

Utilized expertise in Python in creating a software

framework for sequential particle filtering

Created comprehensive methods for parameter estimation

and uncertainty treatment for implementation to the

hydrogeophysics and watershed hydrology fields and

applied them in different studies in cooperation with

other researchers

Institute for Meteorology and Climate Research,

Institute of Technology

Karlsruhe, Germany

PhD Researcher

Dec 2004-Jan 2008

Performed investigation on viability of electrical

resistivity tomography (ERT) in the quantification of

soil water content change

Worked hand-in-hand with various engineering institutes

in performing various experiments using a full-scale

dike model

Explored and studied the inversion software applied in

ERT imaging to analyze the reliability of soil water

content quantification

Appropriately applied ERT as a tool for water content

monitoring, and presented results in the studies

conducted to prove inaccuracies in the current paradigms

of linearized ERT inversion used in retrieving

hydrological properties

Computer Graphics Group, Interdisciplinary Centre for

Scientific Computing, University of Heidelberg

Heidelberg, Germany

Student Assistant

Jul 2001-Jun 2004

Significantly participated in the improvement of a

volume-rendering software tool in C++ for use in

medical imaging applications

Proactively engaged in the implementation of 3D

anisotropic diffusion filter as well as development of

automated density segmentation and graphical

applications intended for virtual reality environment

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Other Experience

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Musikschule M. Willmes

Lichtenborn, Germany

Music Teacher

1999-2003

Implemented excellent methods and styles in teaching

various musical instruments

Fostered harmonious relationship with students while

maintaining high level of professionalism

Monitored and evaluated students learning progress

while continuously nurturing and honing their skills

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Education

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Doctor of Natural Science

Thesis Title: "Monitoring the Water Content Evolution

of Dikes"

Research Papers: "Natural Disasters" Institute

Research Training Group and Institute for Meteorology

and Climate Research

Active Involvement in the Interdisciplinary Research

Training Group "Natural Disasters"

University of Karlsruhe

Karlsruhe, Germany

2008

Diploma Studies in Physics (Grade: Excellent)

University of Heidelberg

Heidelberg, Germany

2004

Diploma in Physics

Thesis Title: "Numerical and Experimental Basics for a

Quantitative Analysis of Ground Penetrating Radar"

University of Heidelberg

Heidelberg, Germany

2004

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Training

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Two-Day Courses in Rhetoric and Project Management

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Activities

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Blog Author, German ScienceBlogs (Blog on Physics- and

Science-Related Recent and Past Discoveries)

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Publications

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2011: Rings, J.; Vrugt, J. A.; Schoups, G. H. W.;

Huisman, J. A. & Vereecken, H. Bayesian model

averaging using ensemble particle filtering and

Gaussian mixture modeling Water Resources Research,

(in review)

2010: Rings, J., Huisman, J. A., & Vereecken, H,

Coupled Hydrogeophysical Parameter Estimation Using a

Sequential Bayesian Approach, Hydrology and Earth

System Sciences, 14, 545-556

2010: Huisman, J. A., Rings, J., Vrugt, J. A., Sorg,

J., & Vereecken, H., Hydraulic Properties of a Model

Dike from Coupled Bayesian and Multi-Criteria

Hydrogeophysical Inversion, Journal of Hydrology, 380,

62-73

2010: Vrugt, J. A., Diks, C.G.H., ter Braak C.J.F.,

Rings, J., & Schoups, G. A Particle DREAM Filter for

Posterior Tracking of Hydrologic Model Parameters and

State (in review)

2010: Hinnell, A. C.; Ferre, T. P. A.; Vrugt, J. A.;

Huisman, J. A.; Moysey, S.; Rings, J. & Kowalsky, M.

B.

Improved extraction of hydrologic information from

geophysical data through coupled hydrogeophysical

inversion

Water Resources Research,46, W00D40

2010: Lavoue, F.; van der Kruk, J.; Rings, J.; Andre,

F.; Moghadas, D.; Huisman, J. A.; Lambot, S.;

Weihermueller, L.; Vanderborght, J. & Vereecken,

H.Electromagnetic induction calibration using apparent

electrical conductivity modelling based on electrical

resistivity tomography Near Surface Geophysics, 8

2010: Mueller, K.; Vanderborght, J.; Englert, A.;

Kemna, A.; Rings, J.; Huisman, J. A. & Vereecken, H.

Imaging and characterization of solute transport

during two tracer tests in a shallow aquifer using

electrical resistivity tomography and multilevel

groundwater samplers Water Resources Research, 46,

W03502

2009: Rings, J. & Hauck, C. Reliability of resistivity

quantification for shallow subsurface water processes

Journal of Applied Geophysics, 68, 404-416

2008: Rings, J., Monitoring the Water Content

Evolution of Dikes, PhD Thesis, Institute for

Meteorology and Climate Research, University of

Karlsruhe

2008: Rings, J., Hauck, C., Preko, K., & Scheuermann,

A., Soil Water Content Monitoring on a Dike Model

Using Electrical Resistivity Tomography, Near Surface

Geophysics, 6, 123-*** ****: Kroemker, S. Rings, J., Jaeger, W., Rannacher,

R., & Warnatz, J. (ed.) Volume Rendering in Scientific

Applications and, Reactive Flow, Diffusion and

Transport, Springer-Verlag