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PhD in Geography 🌏 PostDoc in Glaciology and Remote Sensing 🛰️
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PhD in Geography, University of Würzburg Master’s degree in Geography, University of Bonn Professional Interests: | Earth Science | Earth Observation | Remote Sensing | Geomatics | Satellite Image Processing | Time Series Analysis | Deep Learning | Machine Learning | Google Earth Engine |
The Julius Maximilians University of Würzburg
Doctor of Science, Geography
September 1, 2019 – October 1, 2024
The University of Bonn
Master of Science - MS, Geography
January 1, 2015 – January 1, 2018
The University of Bonn
Bachelor of Science - BS, Geography
January 1, 2011 – January 1, 2015
GEUS
Postdoctoral Scientist
August 1, 2025 – Present
Kopenhagen, Hauptstadtregion, Dänemark
German Aerospace Center (DLR)
Scientific Researcher
November 1, 2023 – October 1, 2024
Oberpfaffenhofen
German Aerospace Center (DLR)
PHD Student
September 1, 2019 – August 1, 2023
Oberpfaffenhofen
University of Bonn
Student Tutor
April 1, 2017 – September 1, 2018
Bonn, Germany
German Aerospace Center (DLR)
Intern
February 1, 2015 – April 1, 2015
Bonn Area, Germany
Bundesarbeitsgemeinschaft der Seniorenorganisationen e.V.
Student Assistant
October 1, 2011 – August 1, 2019
Bonn, Germany
IfADo - Leibniz-Institut für Arbeitsforschung an der TU Dortmund
Alternative civilian service
August 1, 2008 – April 1, 2009
Dortmund Area, Germany
Cultural Fit Analysis
The candidate's background is heavily rooted in academic research and scientific institutions (DLR, GEUS, Universities). While this demonstrates a strong drive for knowledge and rigorous methodology, the transition to a corporate data analyst role might require an adjustment to different organizational cultures, faster-paced project cycles, and direct business impact focus. The diversity of projects is within the scientific domain, which aligns with deep analytical work but may lack exposure to diverse business problems.
Soft Skills & Operational Fit
The candidate's extensive academic and research background suggests strong analytical thinking, problem-solving, and independent work capabilities. Experience as a student tutor indicates communication and teaching skills. However, direct experience in a corporate data analyst setting is not explicitly detailed, which might require adaptation to business-specific operational workflows and stakeholder communication.