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CV: Postdoctoral research fellow
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Date Submitted: Last Modified: Current job: Employment Term: Job location: Date available: Industry: KeywordsWORK EXPERIENCE
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04/2014–Present |
Postdoctoral fellow in statistics |
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University of Edinburgh, Edinburgh (United Kingdom) |
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Development of novel Bayesian models reflecting wildlife survey designs and the underlying species distribution Implementation of an R package for distribution assessment and uncertainty estimation based on spatially referenced environmental data Planning and conducting workshops to teach using the package as well as the underlying theory to statisticians, ecologists and wildlife managers Collaborations with the Norwegian Computing Center, NOAA (USA) and the University of Aberdeen (UK) focusing on problem-specific methodological advancements Presentation of the project's results at international conferences and publicizing in highly ranked journals References are available on request |
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10/2006–07/2010 |
Tutor on mathematics for biologists |
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Humboldt Universität Berlin, Berlin (Germany) |
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Head tutor responsible for teaching and providing outstanding students with extracurricular material |
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EDUCATION AND TRAINING |
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09/2010–03/2014 |
Ph.D. in applied mathematics |
EQF level 8 |
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Universität Heidelberg, Heidelberg (Germany) |
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Fellowship at the research training group "Spatio/Temporal Graphical Models and Applications in Image Analysis" funded by the Deutsche Forschungsgemeinschaft (DFG) Thesis: "Bayesian Hierarchical Models for Remote Assessment of Atmospheric Dust" (graded "Magna cum laude") Design of an adaptive radiative transfer model for detecting aerosols in Meteosat SEVIRI imagery. Development of a statistical model employing fluid dynamics in order to track and forecast dust storms emerging in northern Africa Collaboration and joint publications with statisticians at the University of Heidelberg as well as the University of Waterloo (CA) Presentation of my research at conferences in geoscience and statistics |
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10/2003–08/2010 |
Diploma in computer science |
EQF level 7 |
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Technische Universität Berlin, Berlin (Germany) |
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Diploma project in applied computer sciences and in collaboration with the department of psychology. My thesis "Analysis of an active Brain Computer Interface based on Restricted Boltzmann Machines" developed a neural network and deep learning techniques for electroencephalogram (EEG) time series analysis. (graded "very good") Emphasis "Theory of Distributed Systems" graded "very good" and final diploma grade "very good (with distinction)" |
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10/2006–06/2010 |
Additional matriculation for studies in mathematics |
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Technische Universität Berlin, Berlin (Germany) |
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Intermediate diploma exams in Analysis I-III ("very good") and Numerics ("very good") Certificates in Linear Algebra I/II, Probability, Graph Theory, Functional Analysis and Geometry |
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07/1995–06/2002 |
High school A-levels (German Abitur) |
EQF level 4 |
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Robert-Blum-Oberschule, Berlin (Germany) |
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PERSONAL SKILLS |
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Mother tongue(s) |
German |
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Other language(s) |
UNDERSTANDING |
SPEAKING |
WRITING |
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Listening |
Reading |
Spoken interaction |
Spoken production |
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English |
C2 |
C2 |
C2 |
C2 |
C2 |
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French |
A2 |
A2 |
A1 |
A1 |
A1 |
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Levels: A1 and A2: Basic user - B1 and B2: Independent user - C1 and C2: Proficient user |
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Communication skills |
Excellent English communication skills gained through close teamwork in international environments Proficient in presenting complex concepts to interdisciplinary conference audiences with a wide range of prior knowledge on the matter |
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Organisational / managerial skills |
Mentoring skills acquired while advising in Ph.D. projects and undergraduate students Organizational skills gained by providing workshops on spatial statistics and the usage of my software |
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Job-related skills |
In-depth knowledge in spatial statistics acquired in course of my Ph.D. and postdoctoral work Experienced in statistical testing and uncertainty assessment applied to model selection problems Acquainted with typical remote sensing problems like cloud masking and image registration |
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Digital competence |
SELF-ASSESSMENT |
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Information processing |
Communication |
Content creation |
Safety |
Problem solving |
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Proficient user |
Proficient user |
Proficient user |
Proficient user |
Proficient user |
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Excellent command of R, MATLAB and Python employed in a variety of research projects Knowledge in C++, Java, PHP and SQL gained as computer science student Extensive experience of working in UNIX and Windows environments |
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