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CS&E Institutions

  • The Computational Biology Group, is an interdisciplinary group based within the Department of Computer Science. The group engages in theoretical and applied, interdisciplinary and practise-based research at the interface between computer science and the biomedical sciences, focussing on applying computer science and mathematical techniques to clinically and biologically pressing problems. Key applications include physiological modelling (heart, cardiovascular and cardiorespiratory systems, soft tissue mechanics and cancer), biological image and signal analysis, and systems biology. Work is almost entirely done jointly with domain specialists in life sciences and clinical departments. The Computational Biology Group also plays a key role in interdisciplinary initiatives across the University, including the Life Sciences Interface and Systems Biology DTCs.

    Website: University of Oxford - Computational Biology Group

  • Mathematics is the language of science, technology and finance. It underpins applications ranging from telecommunications to the origins of the universe and from the human genome to financial markets. A masters degree in mathematics equips you with high-level analytical skills that open the door to a wide range of careers.

    The University offers a suite of new MSc’s in Scientific Computation that are genuinely multidisciplinary in nature. These new courses will be taught by internationally leading experts in various application areas and in the core areas of mathematics and computing science, fully reflecting the multidisciplinary nature of the subject. The courses have been carefully designed to be accessible to anyone with a good first degree in science or engineering. They are excellent preparation either for research in an area where computational techniques play a significant role, or for a career in business or industry.

    Website: The University of Nottingham - School of Mathematical Sciences

  • The Centre specialises in the application of software engineering and artifical intelligence techniques to real life industrial and commercial problems. Groups within the Centre have been active in this area since the 1980s, and have undertaken projects in Expert Systems, Genetic Algorithms, Case-Based Reasoning, Knowledge Management, Data Mining Middleware and Autonomic Computing. The Centre attracts substantial funding from the EU and UK government departments and agencies and is currently involved in substantial industrial collaborations funded by the DTI.

    Most of the research activities of the Centre are conducted through the Computing Research Group (CRG). The CRG coordinates the research activities of the Computer Science and Computer Systems Technology departments at the School of Computing and Mathematical Sciences of the University of Greenwich.

    Website: The University of Greenwich - The Centre of Computer and Computational Science

  • The MSc in Computational Science and Modelling is aimed at science graduates from engineering, computer science, mathematics, physics and related disciplines. The programme is practically oriented and aims to provide you with a strong working knowledge of modern mathematical and computational modelling methods and algorithms, as well as the option to study areas such as pattern recognition, neural networks and computational signal processing. It will form a good basis for careers in applied science requiring a balance of mathematical and computational skills for example in weather forecasting, environmental science or bioinformatics.

    Website: University of Exeter - MSc Computational Science and Modelling

  • The TSM-CDT (Centre for Doctoral Training on Theory and Simulation of Materials) has the aim of meeting the national and international need for mathematically strong physical scientists and engineers with advanced skills in TSM.

    The aim of the CDT is to train postgraduates to carry out cutting-edge multi-disciplinary research in TSM. The central theme is bridging length and time scales which poses some of the most challenging problems in TSM. Students receive a broad foundation in theoretical materials physics together with techniques for simulating materials across the wide range of length and time scales met in industrial and academic research. The CDT also runs a number of activities for undergraduates and schoolteachers interested in TSM.

    Website: Imperial College London - Theory and Simulation of Materials

  • The MSc in High Performance Computing (HPC) is a one-year postgraduate masters course taught by EPCC at the University of Edinburgh.

    Students from a wide range of backgrounds in informatics and computer science, physical sciences, mathematics and engineering take the MSc. It will appeal to you if you have a keen interest in programming and would like to learn about HPC and parallel computing.

    The MSc has a strong practical focus and you will have access to leading-edge HPC platforms and technologies. It provides a doorway to a wide variety of future careers in research and industry.

    Website: The University of Edinburgh - MSc in High Performance Computing

  • Finnish Doctoral Programme in Computational Sciences, FICS is a network of 22 departments in 9 universities in Finland.

    FICS acts as a channel for cooperation in research and thesis supervision. It organizes courses, summer schools, research visits etc. and gives travel stipends. FICS offers funded and non-funded positions for excellent doctoral students for a maximum of 4 years.

    Website: Aalto University - Finnish Doctoral Programme in Computational Sciences

  • The M.Sc. in High-Performance Computing is a one-year, full-time taught M.Sc. programme, run by the School of Mathematics, Trinity College, Dublin. The degree provides practical training in the emerging field of high-performance technical computing, which has applications in scientific simulation and mathematical modelling of systems in areas ranging from telecommunications to financial markets.

    The programme is taught in close collaboration with the Trinity Centre for High-Performance Computing and the Schools of Physics and Chemistry and has close links to the IITAC interdisciplinary research project in computational science. The course has been awarded a Hewlett-Packard technology for teaching grant.

    Website: University of Dublin Trinity College - MSc. in High-Performance Computing

  • The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program provides outstanding benefits and opportunities to students pursuing a PhD in scientific or engineering disciplines with an emphasis in high-performance computing. Please visit DOE CSGF web site for more information about fellowship eligibility and benefits. Each fellow is required to perform a research practicum at a participating DOE laboratory.

    Website: Fermilab - Fellowships

  • The SBCCS will be built around core faculty and scientists at Stony Brook It will, in cooperation with CSC, provide a focal point for the community of users of the new supercomputer, NY Blue. It will accelerate the acquisition of supercomputing expertise for scientists at the two institutions interested in taking advantage of this very powerful resource. It will promote a change in the culture of science regionally, to strengthen the excellence in computation and specifically in supercomputing, as supplements to existing strengths in theory and experiment.

    Website: Stony Brook University - New York Center for Computational Science