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PhD position (C9)

Visual feature analysis from individual cases to collections of ensembles

This PhD position contributes to project C9 "Visual feature analysis from individual cases to collections of ensembles".

Primary supervisor: Dr. Marc Rautenhaus
Other project leader: Prof. Dr. George Craig

The Scientific Visualization and Parallel Processing Group at the Regional Computing Center of Universität Hamburg offers a PhD position within Phase 2 of the collaborative research center "Waves to Weather" (W2W). Universität Hamburg is the largest institution for research and education in northern Germany. As one of the country’s largest universities, we offer a diverse range of degree programs and excellent research opportunities. The University boasts numerous interdisciplinary projects in a broad range of fields and an extensive partner network of leading regional, national, and international higher education and research institutions.

Project C9 within W2W is an interdisciplinary project linking visualization (computer science) and meteorological topics and aims at the development of novel visual data analysis techniques for meteorological research questions encountered within W2W. Collaborating projects in W2W target three-dimensional features in the atmosphere (e.g., jet streams and fronts) and their uncertainty as represented by ensemble forecasts. In C9, we will investigate novel approaches to visually analyze meteorological ensemble simulations by means of 3D feature detection and visual analytics.

As a PhD student in C9, you will carry out the above outlined interdisciplinary research at the intersection of computer science (visualization) and atmospheric science. You will closely collaborate with project partners at different W2W locations and actively contribute to the development of our 3D visual analysis package "Met.3D". In Hamburg, you will be part of a young and innovative, newly established visualization team at the Regional Computing Center of Universität Hamburg, tightly integrated into the local scientific environment including both computer and atmospheric sciences.

Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications.

The ideal candidate holds a university degree in a relevant field. She/he is enthusiastic about visualization, would like to contribute to the improvement of numerical weather prediction, has strong interest in interdisciplinary and collaborative work and holds a Master's degree in computer science, atmospheric science, physics or related fields. Programming skills are crucial for this position and good knowledge of preferably C++ and Python under Linux is required. Depending on the candidate’s background, either skills in graphics programming or knowledge of meteorology (preferably numerical weather prediction and ensemble techniques) are desirable. She/he is highly motivated to learn the remaining topics. Knowledge of meteorological data formats, visualization techniques and machine learning techniques would also be of advantage. She/he is able to communicate in English and is engaged in teamwork.

The position is initially funded for 3 years with possible extension until June 2023 and should start as soon as possible. It is remunerated according to TV-L E13 (100%) in accordance with Section 2 of the academic fixed-term labor contract act (Wissenschaftszeitvertragsgesetz, WissZeitVG). Applicants are asked to specify their desired starting date and to give the contact details of two academic referees.

W2W features an innovative program for the development of early career researchers based on self-government. In addition to self-organized activities such as workshops, trainings and a guest program, the successful candidate will have the opportunity, if desired, to pursue an international research visit of at least one week. The consortium conducts an ambitious program to gradually enhance gender equality on all career levels within the academic fields combined in W2W.

The University aims to increase the number of women in research and teaching and explicitly encourages women to apply. Equally qualified female applicants will receive preference in accordance with the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz, HmbGleiG). Qualified disabled candidates or applicants with equivalent status receive preference in the application process.

If you are interested, please apply online here!


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