|| As a member of the Helmholtz Association, Forschungszentrum Jülich makes an effective contribution to solving major challenges facing society in the fields of information, energy, and bioeconomy. It focuses on varied tasks in the area of research management and utilizes large, often unique, scientific infrastructure. Come and work with around 5,900 colleagues across a range of topics and disciplines at one of Europe’s largest research centres.
The Institute of Bio- and Geosciences – Agrosphere (IBG-3) conducts research to improve our understanding of biogeochemical and hydrological processes in terrestrial systems. Specific studies focus on environmental controls on biogeochemical cycling of elements, the analysis of exchange processes and nutrient dynamics in the soil plant-atmosphere continuum. A combination of experiments, modelling and innovative observation technologies is used to bridge the gap between model, process and management scale. Its research contributes to the sustainable and resource-conserving use of soils and water and to the quantification of the effect of climate and land use change on terrestrial ecosystems. We offer a competent and interdisciplinary working environment, as well as an excellent framework in the areas of experiments and modelling.
The Horizon 2020 project GEOEssential (http://www.geoessential.eu) is addressing the need for trusted sources of data and information to monitor the progresses made on environmental conditions towards policy targets. Remote sensing and in situ data from GEOSS and Copernicus platforms need to be utilized to generate added value for advanced monitoring, evaluation and prediction of the UN Sustainable Development Goals (SDGs). The successful candidate will develop multi-scale data fusion and hydrologic forecasting technologies applying machine learning and data assimilation methodologies.
We are looking to recruit a
PhD position for applied hydrologic sciences
- Develop multi-scale (space and time) fusion technologies for heterogeneous data sets from remote sensing (airborne and satellites) and in-situ hydrologic sensor networks as well as socioeconomic surveys
- Develop hydrologic forecasting technologies applying machine learning in combination with ensemble data assimilation methodologies for quasi real-time forecasting of various hydrologic variables and indicators
- Application of the developed technologies for research on climate and land use change impact on the water cycle
- Contribute to an international research team, publish in international journals and present results at international conferences
- University degree in either remote sensing, geosciences, computer science, physics, civil engineering or applied mathematics
- Experience in machine learning methodologies
- Knowledge in the areas of hydrology, numerical methods and knowledge of data fusion methods is a clear advantage
- Programming skills with Python, Fortran, C/C++
- Ability to work independently as well as collaboratively in an international, interdisciplinary team across institutes
- Very good communication and organizational skills
- Very good command of the English language
- Vibrant international and interdisciplinary work environment on an attractive research campus, ideally situated between the cities of Cologne, Düsseldorf and Aachen
- An exceptional research infrastructure
- Attendance at national and international conferences and workshops
- Possibility for further scientific and technical training through international experts
- A comprehensive further training programme, including English language courses
- Limited position for 3 years
- Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD)
Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women.
We also welcome applications from disabled persons.
For further information about the application please contact Dr. Carsten Montzka, e-mail: email@example.com.
We look forward to receiving your application, preferably via our online recruitment system on our career site, quoting the reference number 2018-189.
Phone: +49 2461 61 9700