Research Assistant Earth Observation Research Hub, University Of Würzburg
Anzeige vom: 06.06.2024

Research Assistant

Standort:
  • Jahnatal
Earth Observation Research Hub, University Of Würzburg

Zusammenfassung

  • Arbeitszeit
    Vollzeit
  • Typ
    Praktikum

Gewünschte Fähigkeiten & Kenntnisse

Python
Machine Learning
Evolution
Programmiererfahrung
Analyse
Cloud
MOST
Planet
Aperture
MS Access

Stellenbeschreibung

Ihre Aufgaben


At the University of Würzburg at the Institute of Geography and Geology at the Earth Observation Research hub, there is a vacancy for the position, starting as soon as possible of a Research Assistant (m/f/d) / PhD student.



Ihr Profil


We are seeking a highly motivated candidate holding a M.Sc. degree with expertise in remote sensing and/or geo-information, and handling of various sources of geodata. A sound knowledge in remote sensing or geographic information systems (GIS) and programming (e.g., Python, R) is required. The ability to work independently as well as within an interdisciplinary team of collaborators is essential. A strong interest in applying interdisciplinary approaches, conducting field work, and to bridge gaps between Earth Observation and in-situ data collection is required. Further, proficiency in the English language, and the capability to write research reports and peer-reviewed publications are required.



Wir bieten Ihnen


Open, Remuneration group TV-L 13 to the extent of 65 % of the regular weekly working time for a period of 3 years.

Drylands are considered one of the most important and sensitive environments on our planet, and recent studies suggest that drylands are expanding, particularly in Asia. Although these regions are characterized by strong climatic contrasts and are particularly responsive to climatic changes, their sensitivity and response time are still largely unknown. In this context, recent developments in earth observation - such as free access to comprehensive image archives, analysis of large datasets through cloud-based processing and machine learning, and integration and fusion of the latest generation of Synthetic Aperture Radar (SAR) and multispectral sensors - will foster a better understanding of the evolution and dynamics of drylands under changing climatic conditions.

This project will explore the linkage of high-resolution multi-sensor remote sensing data (i.e., SAR and multispectral imagery) collected by earth observation satellites with in-situ data collected by ground surveys (e.g., drones, loggers) to characterize the spatiotemporal dynamics and short- and long-term evolution of drylands in selected study areas (e.g., Mongolia, Namibia). In particular, the project focuses on (i) developing approaches to fuse information from multi-sensor remote sensing time series to analyze land surface dynamics in drylands, and (ii) identifying triggers and driving forces with respect to climate change.

Candidates are expected to pursue a PhD degree within this project.



Kontakt


www.egu.eu

Profil

Fachliche Voraussetzung

  • Big Data, Cloud Computing, Coaching und Mentoring, Computerprogrammierung, Data Centers, Datensammlung, Drohnen, Erdkunde, Feldforschung, Fernerkundung, Fixed Income Research, Geoinformationssystem, Informatik, Klimawandel, LTE (Telekommunikation), Machine Learning, Publizieren, Python, Sensorik, Umfragen, Zeitreihenanalyse

Persönliche Fähigkeiten

  • Eigenmotivation

Schulabschluss

  • Master

Sprachkenntnisse

  • Englisch

Bewerbung

    Branche:

    Andere / Unbekannt

    Arbeitgeber:

    Earth Observation Research Hub, University Of Würzburg

    Adresse:

    Earth Observation Research Hub, University Of Würzburg
    04749 Jahnatal