Skip to main content

PhD position (f/m/x) – Remote Sensing of land-atmosphere coupling and hydro-climatic extremes Helmholtz-Zentrum für Umweltforschung - UFZ






PhD position (f/m/x) – Remote Sensing of land-atmosphere coupling and hydro-climatic extremes Helmholtz-Zentrum für Umweltforschung - UFZ


The Helmholtz Centre for Environmental Research (UFZ) with its 1,100 employees has gained an excellent reputation as an international competence centre for environmental sciences. We are part of the largest scientific organisation in Germany, the Helmholtz association. Our mission: Our research seeks to find a balance between social development and the long-term protection of our natural resources.
The newly established Department of Remote Sensing in UFZ in tandem with the Remote Sensing Centre for Earth System Research (RSC4Earth) - a joint initiative of UFZ and the Faculty of Physics and Earth Sciences at Leipzig University - conducts innovative research to advance the understanding of the Earth system via the integration of various remote sensing, data science, and process-oriented modelling techniques. It has extensive research experience in quantifying land surface dynamics from multi-source Earth observations across scales.

Within the PhD framework "MoDEV - Towards novel model-data fusion for understanding environmental variability in space and time from high-resolution remote sensing" we are seeking to appoint a highly motivated candidate for the PhD project "Remote Sensing of soil moisture dynamics".
PhD position (f/m/x) – Remote Sensing of land-atmosphere coupling and hydro-climatic extremes
Working time: 65% (25.35 hours per week), limited to 3 years
Your tasks:
The PhD project aims to systematically investigate the role of land-atmosphere feedback (essential variables) on the occurrence of extreme events (e.g., drought, heat wave) and their interactions with different ecosystems based on satellite observations, field data, and model simulations. Key research questions include:
How do the land-atmosphere feedbacks change during and in the wake of climate extremes over different ecosystems? Will these feedbacks intensity extreme events in addition to large-scale atmospheric circulations (e.g., ENSO, MJO)?
How will ecosystems alter hydrological processes during and after extreme events (e.g., soil moisture, evapotranspiration, vapor pressure deficit)?
How will evapotranspiration respond to soil and atmospheric stress during and after extreme events?
Your profile:
Master degree (or equivalent) in earth system science, remote sensing, meteorology, hydrology, physical geography, environmental sciences, physics, statistics, computer sciences, or a related field
Good programming skills (e.g., Python, Fortran, R, or Matlab)
Experience in terrestrial and atmosphere EO data processing and analysis
Interest in understanding of land-atmosphere feedbacks and their role in climate extremes
Willing to publish results in peer-reviewed journals and present at scientific meetings
Good communication skills in English, and strong interest to work in an interdisciplinary research team
We offer:
Excellent technical facilities which are without parallel
The freedom you need to bridge the difficult gap between basic research and close to being ready for application
Work in interdisciplinary, multinational teams
Excellent links with national and international research networks
Excellent support and optimal subject-specific and general training with our HIGRADE graduate school
Remuneration in accordance with the TVöD public-sector pay grade 13 (65%)





Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
https://www.facebook.com/Applied.Geography
http://geogisgeo.blogspot.com

Comments

Popular posts from this blog

Disaster Management

1. Disaster Risk Analysis → Disaster Risk Reduction → Disaster Management Cycle Disaster Risk Analysis is the first step in managing disasters. It involves assessing potential hazards, identifying vulnerable populations, and estimating possible impacts. Once risks are identified, Disaster Risk Reduction (DRR) strategies come into play. DRR aims to reduce risk and enhance resilience through planning, infrastructure development, and policy enforcement. The Disaster Management Cycle then ensures a structured approach by dividing actions into pre-disaster, during-disaster, and post-disaster phases . Example Connection: Imagine a coastal city prone to cyclones: Risk Analysis identifies low-lying areas and weak infrastructure. Risk Reduction includes building seawalls, enforcing strict building codes, and training residents for emergency situations. The Disaster Management Cycle ensures ongoing preparedness, immediate response during a cyclone, and long-term recovery afterw...

Logical Data Model in GIS

In GIS, a logical data model defines how data is structured and interrelated—independent of how it is physically stored or implemented. It serves as a blueprint for designing databases, focusing on the organization of entities, their attributes, and relationships, without tying them to a specific database technology. Key Features Abstraction : The logical model operates at an abstract level, emphasizing the conceptual structure of data rather than the technical details of storage or implementation. Entity-Attribute Relationships : It identifies key entities (objects or concepts) and their attributes (properties), as well as the logical relationships between them. Business Rules : Business logic is embedded in the model to enforce rules, constraints, and conditions that ensure data consistency and accuracy. Technology Independence : The logical model is platform-agnostic—it is not tied to any specific database system or storage format. Visual Representat...

Approaches of Surface Water Management: Watershed-Based Approaches

Surface water management refers to the strategies used to regulate and optimize the availability, distribution, and quality of surface water resources such as rivers, lakes, and reservoirs. One of the most effective strategies is the watershed-based approach , which considers the entire watershed or drainage basin as a unit for water resource management, ensuring sustainability and minimizing conflicts between upstream and downstream users. 1. Watershed-Based Approaches Watershed A watershed (or drainage basin) is a geographical area where all precipitation and surface runoff flow into a common outlet such as a river, lake, or ocean. Example : The Ganga River Basin is a watershed that drains into the Bay of Bengal. Hydrological Cycle and Watershed Management Watershed-based approaches work by managing the hydrological cycle , which involves precipitation, infiltration, runoff, evapotranspiration, and groundwater recharge. Precipitation : Rainfall or snowfall within a...

Raster Data Structure

Raster Data Raster data is like a digital photo made up of small squares called cells or pixels . Each cell shows something about that spot — like how high it is (elevation), how hot it is (temperature), or what kind of land it is (forest, water, etc.). Think of it like a graph paper where each box is colored to show what's there. Key Points What's in the cell? Each cell stores information — for example, "water" or "forest." Where is the cell? The cell's location comes from its place in the grid (like row 3, column 5). We don't need to store its exact coordinates. How Do We Decide a Cell's Value? Sometimes, one cell covers more than one thing (like part forest and part water). To choose one value , we can: Center Point: Use whatever feature is in the middle. Most Area: Use the feature that takes up the most space in the cell. Most Important: Use the most important feature (like a road or well), even if it...

Disaster Management international framework

The international landscape for disaster management relies on frameworks that emphasize reducing risk, improving preparedness, and fostering resilience to protect lives, economies, and ecosystems from the impacts of natural and human-made hazards. Here's a more detailed examination of key international frameworks, with a focus on terminologies, facts, and concepts, as well as the role of the United Nations Office for Disaster Risk Reduction (UNDRR): 1. Sendai Framework for Disaster Risk Reduction 2015-2030 Adopted at the Third UN World Conference on Disaster Risk Reduction in Sendai, Japan, and endorsed by the UN General Assembly in 2015, the Sendai Framework represents a paradigm shift from disaster response to proactive disaster risk management. It applies across natural, technological, and biological hazards. Core Priorities: Understanding Disaster Risk: This includes awareness of disaster risk factors and strengthening risk assessments based on geographic, social, and econo...