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Open PhD positions
All topics of Ph.D. research are open in the framework of recent grant projects.
The below-listed topics represent proposed directions of Ph.D. research under my supervision, with options to fine-tune the topic, methods, or study areas according to your profile. Hence, the candidates should contact me in advance to discuss the details of the potential research program.

The closest deadline for application is April 30, 2022. 
Further details and applications are available in the Study Information System:  tinyurl.com/y64rdjob

Impact of climate change and forest disturbance on runoff dynamics in montane catchments

Changing climate, forest disturbance, and stream modifications are the most significant drivers of runoff regime alterations in mid-latitude mountain catchments. Rising variability of runoff response, prolonged periods of drought, and changes in seasonal runoff distribution emerge as the key symptoms. However, the observed changes are complex and have different scopes and magnitudes in different environments.


The goal of the Ph.D. research project is the attribution of the effects of climate change and the landscape alteration on runoff response in mid-latitude montane catchments with a focus on extreme events - peak flows and droughts. The research will be carried out at the spatial scale of experimental catchments, equipped with sensor network monitoring and requiring field monitoring, to the complex basins with long-term observations. The attribution of the drivers to the given aspects of hydrological change will be done mostly using geostatistical analysis and modeling, including the use of machine learning techniques.


The proposed Ph.D. research will require skills in hydrological analysis and/or modeling, interest in learning new approaches, the ability of teamwork as well as independent research. Motivated students from geographic, hydrologic, or geoscientific disciplines with scientific curiosity and relevant skills are encouraged to apply.

Hydrologic signatures as indicator of changing streamflow response across basins

The Ph.D. project is focused on hydrologic signatures as metrics applicable for the detection of changes in streamflow response to changing climate and environment.

The research should examine the suitability of hydrologic signatures and related descriptors for the explanation of changing dynamics of runoff. Research should enable a large-sample analysis of changing runoff patterns across different environments. Different sets of signatures and descriptors will be derived for study basins across the Czech Republic to enable cross-comparison with processes in other regions. 

The signatures will cover a complex range of aspects, affecting runoff generation from available and robust datasets. They will cover descriptors of climate and meteorological conditions, evapotranspiration, snowpack, hydrological regime, and hydrogeology at various temporal scales, completed by physiographic aspects, geology, soil properties, land use structure, or water use. The derived sets of indicators should enable intercomparison with recently developed sets of signatures, such as CAMELS or LAMAH.

The study will use the signatures to perform a large-sample study analyzing changes in watershed dynamics and streamflow response to climate change across environments. The aim is to find the links between the signatures and processes by geostatistical analyses and modeling.

Changing dynamics of fluvial processes in montane catchments 

The Ph.D. project is focused on the analysis of the response of fluvial dynamics to climate change and forest disturbance in montane catchments using advanced non-invasive monitoring and surveying techniques.

The research focuses on the analysis of the changing dynamics of fluvial processes in relation to the triggering factors - climate change, forest and landscape disturbances, changes in fluvial connectivity, and anthropogenic modifications of the riverscape.

The research employs a combination of advanced techniques of instrumental monitoring and numerical analysis and simulation. In particular, the monitoring involves the application of unmanned imaging techniques (UAV), sensor network monitoring, RFID monitoring of coarse sediment movement, and optical granulometry of the structure of alluvial deposits. Results from the combined surveying based on precise techniques will be used for geostatistical analysis and modeling.

The study area is primarily the headwaters of the montane streams in the Šumava (Bohemian Forest) region, possibly completed by the reference streams in areas with different dynamics of fluvial processes.

What you could expect?

  • An international team of Czech and foreign students
  • Support for your research from the framing research projects
  • Active team-wide field campaigns for imaging, monitoring, measurement
  • Use of advanced monitoring and surveying technologies
  • Active supervision and support 
  • Regular team meetings, providing feedback to your work

What will be expected from you?

  • Motivation and scientific curiosity
  • Interest in your field of study
  • Independence and initiative in research
  • Passion for science and technologies
  • Interest in learning new approaches and techniques
  • Geoinformatic literacy
  • Preparedness for fieldwork campaigns
  • Team spirit

How to apply?
For more details and for application contact me at jakub.langhammer@natur.cuni.cz.