Interdisciplinary PhD Positions in Data Science at the Interface of Natural Sciences and Computer Sc
Data Science in Hamburg - HELMHOLTZ Graduate School for the Structure of Matter
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Interdisciplinary PhD Positions in Data Science at the Interface of Natural Sciences and Computer Sc

Data Science in Hamburg - HELMHOLTZ Graduate School for the Structure of Matter

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Details
Posted:
October 1, 2020
Location:
Germany
Level:
Experienced
Sector:
Non-Profit
Work Function:
Other
Discipline:
Biological Sciences, Computer Science: Data Structures, Mathematics
Preferred Education:
Masters

Interdisciplinary PhD Positions in Data Science at the Interface of Natural Sciences and Computer Science / Applied Mathematics

Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter (DASHH) is an interdisciplinary graduate school that offers challenging PhD topics at the interface of the natural sciences, applied mathematics and computer science. DASHH involves several universities and renowned research institutions in the multifaceted city of Hamburg, Germany.

DASHH is looking for excellent and highly qualified PhD candidates,

interested to work on data-driven research projects in physics, chemistry, applied mathematics, engineering, computer science or structural biology.

DASHH offers:

  • Interdisciplinary research in the natural sciences
    and computer science or applied mathematics
  • Research at world-leading large-scale research facilities
    (PETRA III, FLASH, European XFEL, LHC)
  • Numerous attractive, interdisciplinary thesis topics
  • Excellent working conditions
    at an international, vibrant and inspiring research campus
  • Close supervision and support by a panel of established professors and scientists
  • Training in transferable skills and career development
  • Work contract at the level of the German TV-L13 (100%) salary scheme for 3 years

Apply until December 1, 2020 by

https://www.dashh.org/application/application_procedure/index_eng.html

Requirements:

We are looking for highly motivated students with an excellent academic background in natural sciences, engineering, computer science or applied mathematics. The candidates should bring an exceptional interest to work on highly interdisciplinary topics, should be team-oriented and have a strong background in programming. For more information, see:  https://www.dashh.org

About Data Science in Hamburg - HELMHOLTZ Graduate School for the Structure of Matter
Data Science is the science of extracting knowledge from typically large amounts of complex data. The increasing level of automation and the increasing number and resolution of sensors in scientific large-scale experiments result in large, heterogeneous and highly complex data collections. Therefore, Data Science is a key technology in modern natural sciences. Data-intensive research in experimental and theoretical science at the Science City Bahrenfeld requires beyond off-the-shelf software solutions for data management, processing and analysis. Tailored or even completely new computational methods are needed and we will explore new innovative ideas in computer science and applied mathematics. To develop these methods, scientists have to be highly skilled in their corresponding natural-science background and computer science alike. DASHH has been established to address this highly interdisciplinary need. DASHH bundles competences of scientists with high international reputation in basic research for the structure of matter, computer science and applied mathematics in Hamburg in a new and unique fashion. The graduate school covers data challenges from application fields such as ...structural biology, particle physics, material science and ultrafast X-ray science. These data challenges have in common that they cannot be addressed with standard computational methods, but require modern data- and information-science techniques instead. Several areas from computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimization and simulation, software engineering and automation and control systems.
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