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CS&E Institutions

  • The importance of the multi-disciplinary field Computational Science and Engineering (CSE) in academic and industrial research is rapidly growing. CSE is based upon the three columns applied mathematics (esp. numerical analysis), computer science, and scientific or engineering applications. CSE focuses on the development of problem-solving methodologies and powerful and robust tools for numerical simulation in general.

    The successful way from some application area to useful computational results requires domain expertise as well as skills in mathematical modelling, numerical analysis, efficient algorithms, computer architecture, software design and implementation, validation, and visualization of results. The fact that CSE involves all of this shows the need for an education that meets these demands.

  • Introduction
    The Aachen Institute for Advanced Study in Computational Engineering Science (AICES) is a graduate school established in 2006 in the frame of the German Excellence Initiative. AICES offers a new doctoral program for Bachelor and Master students enabling a shortened and attractive path to the doctorate.

    Research
    Computational engineering science (CES) has its roots in the modeling and simulation of technical systems and phenomena occurring in nature. Today, there is a trend toward an increasing intricacy of the systems being analyzed (complexity), a growing range of interacting scales which must be considered at once (multiscale), and larger numbers of interacting physical phenomena that are inseparable (multiphysics). Furthermore, there is increased demand for best-design identification of engineered systems with reduced input from human intuition (optimization). Therefore, in addition to pursue research in the classical CES research fields, AICES sets out to advance computational engineering science in three critical areas of synthesis:
    - model identification and discovery supported by model-based experimentation (MEXA),
    - understanding scale interaction and scale integration,
    - and optimal design and operation of engineered systems, including both the products and manufacturing processes.
    These diverse objectives share a common trait, in that they are examples of broadly-defined inverse problems.

    Academics
    The doctoral program in AICES can be started at the Bachelor or Master level. Students who hold Bachelor degrees complete M.S.-level qualifying courses and a Master thesis before starting the research phase of the program. The time needed for finishing a doctorate is shortened in the AICES program by a novel advising concept, where doctoral candidates are supervised by both a senior faculty member and a junior research group leader at the Post Doctoral or Junior Professor level. The junior advisor is responsible for defining the thesis topic, which is typically in direct support of their own research. Thus a close interaction and guidance is of mutual benefit, leading to reduced time to degree.

    Admission
    The AICES doctoral program is open to a limited number of extremely well-qualified students with a substantial background in their proposed field of study. Bachelor degree holders applying for the course-based Master-phase of the program should file their application by December for admission in Summer Semester, April for admission in Winter semester. Applications from Master or Diplom degree holders applying for the research stage of the program are accepted continuously.

  • The Bachelor course in 'Computational Physics' has two basic goals:

    • It should optimize the chances to find a decent job with just a Bachelor degree. One of the strengths of the Bachelor/Master course of 'Physics' is its broad scope, which makes physicists nearly universally employable. This goal cannot be reached in just three years, which is why it is strongly debated whether terminating physics studies at the Bachelor level is advisible. In contrast, the Bachelor in 'Computational Physics' focuses on a specific part of the physics curriculum plus additional computer skills, which should ensure a high employability already at the Bachelor level.
    • For those interested it should provide the optimal starting point for reaching the forefront of research during the consecutive Master course, with respect to the computational as well as the scientific aspects.

    To allow for this focus, higher experimental physics is not part of the curriculum. While it is in principle possible to start a Master thesis in experimental physics after graduating as Bachelor of 'Computational Physics', this is not a very natural course of study and requires substantial additional efforts.

    Website: University of Regensburg - Computational Physics / Computational Science

  • The TUM International Graduate School of Science and Engineering (IGSSE) is sponsored by the Excellence Initiative of the German federal and state governments. IGSSE aims to integrate Natural and Engineering Sciences through graduate and postgraduate education rooted in a strong research foundation. The education offered by the Graduate School is interdisciplinary and team-oriented.

    Typical research areas include Computational Science & Engineering, Biomedical Engineering, Nanotechnology & Advanced Materials, and Energy, Geodynamics & Environment. IGSSE brings together German and international Research Training Groups and Master’s programs at TUM.

    Website: TU München - Internation Graduate School of Science and Engineering

  • The primary goal of our M.Sc. program is training students for computer-based research and development. The program targets outstanding students with a Bachelor's degree in Computer Science, Geoscience, Mathematics, Meteorology, Neuroscience or Physics, but is also open to exceptional students with a degree in Engineering. Building on the common platform of mathematical and methodological expertise acquired during the Bachelor's studies, the Master's program leads students towards the current state-of-the-art of research, both with respect to computational techniques and with respect to the specific scientific field in which students apply these computational techniques.

    The structure of the curriculum is particularly open and highly interdisciplinary. Rather than providing separate routes to graduation for the individual disciplines, its modules are designed to allow students to cross disciplinary boundaries as they choose.

    The resulting education fosters research and development at the interfaces between the traditional fields and strengthens interdisciplinary communication. It lets students develop a command of a variety of scientific terminologies, which eases their integration into interdisciplinary teams and the development of competences in new environments.

    Website: Frankfurt International Research Graduate School - Computational Science

  •  The Bavarian Graduate School of Computational Engineering is an association of three Master programs:

    Computational Engineering (CE) at the Friedrich-Alexander-Universität Erlangen-Nürnberg, Computational Mechanics, and Computational Science and Engineering (CSE) at the Technische Universität München.

    Our goal is to push forward the rapidly growing field of Computational Engineering by offering high-quality master programs for students who are interested in the field.

    Apart from the courses offered as part of the three regular Master's programs, the BGCE academic offers consist of:

    •  Intensive courses and block tutorials in several fields of computational engineering. Many of these courses are organized as part of summer or winter academies. HPC is a major aspect of these courses.
    • Courses on soft skills, communication, and management are offered, both, by the Bavarian Graduate School, and by some of its partners.
    • An extensive semester project; this can be either a team or individual project, and may be in cooperation with an industry partner.

     Website: Bavarian Graduate School of Computational Engineering

     

  • Welcome to the international, interdisciplinary, bilingual Master of Science programme Computational Sciences in Engineering at the Technische Universität Braunschweig.

    Website: TU Braunschweig - Computational Sciences in Engineering

  • Computational Neuroscience is a young, growing discipline within the exciting field of neuroscience. It uses theoretical approaches from a variety of disciplines including mathematics, physics, computer science, and engineering to understand the brain. Computational Neuroscience integrates experiment, data analysis and modeling. Furthermore, it makes a scientific language available that can be used across disciplines and levels for neurobiology, cognitive science, and information technology. Computational Neuroscience may thus help to solve long-standing research questions, contribute to better prevention and treatment strategies for neural disorders, lead to unified concepts about biological processes, advance information technologies and human-machine interactions and, last but not least, provide new insight for designing efficient strategies for teaching and learning.

    With the aim of fostering a new generation of scientists who have been trained in both mathematical / computational skills and neuroscientific methodologies the Bernstein Center Berlin has set up two international, interdisciplinary graduate Masters and PhD programs.

    Website: Humboldt-Universität zu Berlin - Bernstein Center for Computational Neuroscience

  • The Campus Berlin-Dahlem with the Free University of Berlin (FU), the Zuse Institute Berlin (ZIB) and the Max Planck Institute for Molecular Genetics (MPIMG) harbors a significant number of groups working at the interface of life sciences (molecular biology, genome research) and formal sciences (mathematics, computer science). The mathematical and computational approaches to study biological questions are manifold, covering mathematics, statistics, and computer science. At the same time any of these approaches can be applied in diverse application areas which, taken together, makes the field hard to master for a student. The unique concentration at FU and MPIMG offers an exceptional opportunity to familiarize students with the breadth of formal methods in computational biology and scientific computing and to expose them to the scope of applied questions one can study using these tools.

    The International Max Planck Research School for Computational Biology & Scientific Computing (IMPRS-CBSC) establishes a stringent graduate education program between FU and MPIMG. Building upon the existing MSc courses in bioinformatics and scientific computing, students will go through an individually tailored course program. Courses, seminars and joint research work shall foster the establishment of a close-knit community of graduate students where scientific experience and knowledge is exchanged.

    The research focus of the IMPRS-CBSC will be on the mathematical and computational side of research in sequence analysis, theoretical structural biology, computational chemistry and drug design, molecular evolution, genome analysis and data analysis methods in functional genomics. Experimental research and laboratory courses in these areas shall not be part of the IMPRS-CBSC, although the graduate school will be surrounded by experimental research and theoretical courses in biological areas will be offered.

    There are fully funded PhD positions in bioinformatics available at the International Max Planck Research School for Computational Biology and Scientific Computing (IMPRS-CBSC) in Berlin, Germany, starting September 2012.

    We invite applications for a 3-year PhD program aimed at students holding a master's or comparable degree in bioinformatics, mathematics, physics, computer science, or biology. Students with a degree in mathematics, computer science and physics are expected to have some knowledge of the biological background, whereas students with a degree in biology should be able to demonstrate profound knowledge in mathematics and computer science. The degree should be awarded before August 2012.

    Areas of research include mathematical modelling, evolutionary genomics, computational systems biology, proteomics. For further details visit our website or email Professor Kelleher. Please apply online before March 2nd, 2012. The IMPRS-CBSC is a joint program between the Max Planck Institute for Molecular Genetics, the Freie Universität Berlin and the CAS-MPG Partner Institute for Computational Biology, Shanghai. The program language is English. International applicants and women are especially encouraged to apply.

    Website: Freie Universität Berlin - International Max Planck Research School for Computational Biology and Scientific Computing

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