{"id":1019,"date":"2024-04-30T09:10:43","date_gmt":"2024-04-30T09:10:43","guid":{"rendered":"https:\/\/study.sudancareer.com\/?p=1019"},"modified":"2024-05-02T06:28:20","modified_gmt":"2024-05-02T06:28:20","slug":"ist-internship-summer-program-in-austria-fully-funded","status":"publish","type":"post","link":"https:\/\/study.sudancareer.com\/?p=1019","title":{"rendered":"IST Internship Summer Program In Austria | Fully Funded"},"content":{"rendered":"\n

SCIENTIFIC INTERNSHIPS (YEAR-ROUND)<\/strong><\/h2>\n\n\n\n

Students who are either pursuing or have obtained a bachelor\u2019s<\/strong> or a master\u2019s<\/strong> degree in the natural or computer sciences, mathematics or any related discipline are eligible to apply for a scientific intern position at ISTA. A scientific intern can be appointed for a period of up to 1 year.<\/p>\n\n\n\n

Candidates are selected by the head of a research group (Professor or Assistant Professor) or the staff scientists and the appointment is subject to the availability of sufficient funds for the salary of the scientific intern and a formal approval of the Academic Affairs division. Applications are accepted on a continuous basis, and those interested in an independent scientific intern position at ISTA should contact the respective group leader<\/a> or staff scientist<\/a> directly.<\/p>\n\n\n\n

APPLICATION<\/strong><\/h2>\n\n\n\n
    \n
  1. Identify which research group \/ scientist you\u2019re most interested in working with. In order to find out about the range of research groups available, please browse this overview of research groups<\/a> or list of staff scientists<\/a>.<\/li>\n\n\n\n
  2. Once you\u2019ve found a research group you\u2019d like to work with, email the research group leader \/ staff scientist directly, remembering to include:
    \u2013  a short intro to your background, and your motivation to work with them
    \u2013  an attached CV (in PDF format), listing relevant experience, education history
    \u2013  possible dates for your internship (start date must be at least 2 months ahead)<\/li>\n\n\n\n
  3. If they are interested in hosting you as a scientific intern in their group, they or their assistant will be in touch with you for further steps, requesting further information through our application portal.<\/li>\n<\/ol>\n\n\n\n

    Please note:<\/strong><\/p>\n\n\n\n

      \n
    1. Not all research groups\/units are able to accept an intern. Before applying, candidates should take a closer look at the webpages to make sure their profile and research interests match the groups\u2019 research topics.<\/li>\n\n\n\n
    2. We only take complete applications into consideration. Incomplete and\/or irrelevant applications will NOT be processed. Due to the sheer volume of applications we receive, we only reply to selected<\/em> candidates.<\/li>\n<\/ol>\n\n\n\n

      Overview<\/strong><\/h2>\n\n\n\n

      Outstanding bachelor\u2019s and master\u2019s students can join IST Austria in the ISTernship program. Students who are interested in basic research in the fields of biology, computer science, data science & scientific computing, mathematics, physics, neuroscience, chemistry & materials, and interdisciplinary areas, are encouraged to apply. The call is now open.<\/p>\n\n\n\n

      THE ISTERNSHIP SUMMER PROGRAM<\/strong><\/h2>\n\n\n\n

      The ISTernship<\/strong> (\u201cIST<\/em>-\u201d + \u201c(int)ernship<\/em>\u201c) is a summer internship program for bachelor\u2019s and master\u2019s students who are looking to expand their scientific research experience. Every summer since 2013, roughly 30-40 students join the ISTernship program and work closely with our faculty or a lab member on a short research project.<\/p>\n\n\n\n

      As part of the application, prospective interns choose a group to work in, and successful applicants agree on a research project with the group leader.<\/p>\n\n\n\n

      Upon arrival, ISTerns receive an introduction to research at IST Austria as well as an introduction to the IST Austria Graduate School. The program culminates with a research symposium, where ISTerns present their work to peers, faculty and lab mentors.<\/p>\n\n\n\n

      Internships are full-time and will be conducted exclusively in English.<\/p>\n\n\n\n

      INTERDISCIPLINARITY<\/strong><\/h2>\n\n\n\n

      Our Graduate Program is characterized by modern comprehensive training with a special focus on interdisciplinarity<\/strong>.<\/p>\n\n\n\n

      There are seven tracks of study:<\/strong><\/h3>\n\n\n\n

      Biology<\/strong><\/h4>\n\n\n\n

      Biology at IST Austria encompasses a wide variety of research areas, from structural and molecular biology to cell and development biology to systems and evolutionary biology.<\/p>\n\n\n\n

      Biology is the largest track in the PhD program, and students benefit from a vibrant research community with collaborations within and across sub-fields. State-of-the-art facilities and interactions with mathematics, computer science and physics allow scientists to address complex problems with interdisciplinary scope.<\/p>\n\n\n\n

      COMPLETE BIOLOGY RESEARCH GROUP DETAILS ON IST AUSTRIA\u2019S MAIN SITE:<\/strong><\/p>\n\n\n\n

        \n
      • Evolutionary Genetics
        NICK BARTON<\/strong><\/li>\n\n\n\n
      • Plant Developmental Biology
        EVA BENKOVA<\/strong><\/li>\n\n\n\n
      • RNA-based Gene Regulation
        CARRIE BERNECKY<\/strong><\/li>\n\n\n\n
      • Social Immunity
        SYLVIA CREMER<\/strong><\/li>\n\n\n\n
      • High-Resolution Optical Imaging for Biology
        JOHANN DANZL<\/strong><\/li>\n\n\n\n
      • Genes, Circuits, and Behavior
        MARIO DE BONO<\/strong><\/li>\n\n\n\n
      • Developmental and Cell Biology of Plants
        JI\u0158\u00cd FRIML<\/strong><\/li>\n\n\n\n
      • Systems and Synthetic Biology of Genetic Networks
        C\u0102LIN GUET<\/strong><\/li>\n\n\n\n
      • Physical Principles in Biological Systems
        EDOUARD HANNEZO<\/strong><\/li>\n\n\n\n
      • Morphogenesis in Development
        CARL-PHILIPP HEISENBERG<\/strong><\/li>\n\n\n\n
      • Genetic Dissection of Cerebral Cortex Development
        SIMON HIPPENMEYER<\/strong><\/li>\n\n\n\n
      • Tissue Growth and Developmental Pattern Formation
        ANNA KICHEVA<\/strong><\/li>\n\n\n\n
      • Evolutionary Genomics
        FYODOR KONDRASHOV<\/strong><\/li>\n\n\n\n
      • Self-Organization of Protein Systems
        MARTIN LOOSE<\/strong><\/li>\n\n\n\n
      • Medical Genomics
        MATTHEW ROBINSON<\/strong><\/li>\n\n\n\n
      • Biological and Soft Matter Physics
        ANDELA SARIC<\/strong><\/li>\n\n\n\n
      • Structural Biology of Membrane Protein Complexes
        LEONID SAZANOV<\/strong><\/li>\n\n\n\n
      • Biomolecular mechanisms from integrated NMR spectroscopy
        PAUL SCHANDA<\/strong><\/li>\n\n\n\n
      • Structural Biology of Cell Migration and Viral Infection
        FLORIAN SCHUR<\/strong><\/li>\n\n\n\n
      • Neuroimmunology in Health and Disease
        SANDRA SIEGERT<\/strong><\/li>\n\n\n\n
      • Invasive Migration
        DARIA SIEKHAUS<\/strong><\/li>\n\n\n\n
      • Morphodynamics of Immune Cells
        MICHAEL SIXT<\/strong><\/li>\n\n\n\n
      • Evolution, Development and Function of Motor Circuits
        LORA SWEENEY<\/strong><\/li>\n\n\n\n
      • Theoretical Biophysics and Neuroscience
        GASPER TKACIK<\/strong><\/li>\n\n\n\n
      • Sex-Chromosome Biology and Evolution
        BEATRIZ VICOSO<\/strong><\/li>\n\n\n\n
      • Epigenetics and Chromatin
        DANIEL ZILBERMAN<\/strong><\/li>\n<\/ul>\n\n\n\n

        <\/p>\n\n\n\n

        Computer Science<\/strong><\/h4>\n\n\n\n

        Computer science at IST Austria encompasses a wide variety of research topics, based on a solid foundation of mathematical rigor and a focus on developing new algorithms and formalisms.<\/p>\n\n\n\n

        Foundations of software-systems theory, game theory, and formal methods (Chatterjee, Henzinger), distributed algorithms and systems (Alistarh), machine learning, discrete optimization, and computer vision (Kolmogorov, Lampert), data science and information theory (Mondelli), computational geometry and topology (Edelsbrunner, Wagner), cryptography (Pietrzak), security of decentralized systems (Kokoris-Kogias), computer graphics and physics simulation (Wojtan), and computational fabrication and optimization (Bickel) are some of the research strengths of our faculty.<\/p>\n\n\n\n

        COMPLETE COMPUTER SCIENCE RESEARCH GROUP DETAILS ON IST AUSTRIA\u2019S MAIN SITE:<\/strong><\/p>\n\n\n\n

          \n
        • Distributed Algorithms and Systems
          DAN ALISTARH<\/strong><\/li>\n\n\n\n
        • Computer Graphics and Digital Fabrication
          BERND BICKEL<\/strong><\/li>\n\n\n\n
        • Computer-aided Verification, Game Theory
          KRISHNENDU CHATTERJEE<\/strong><\/li>\n\n\n\n
        • Algorithms, Computational Geometry and Computational Topology
          HERBERT EDELSBRUNNER<\/strong><\/li>\n\n\n\n
        • Design and Analysis of Concurrent and Embedded Systems
          THOMAS HENZINGER<\/strong><\/li>\n\n\n\n
        • Secure, Private, and Decentralized Systems (SPiDerS)
          LEFTERIS KOKORIS-KOGIAS<\/strong><\/li>\n<\/ul>\n\n\n\n
            \n
          • Discrete Optimization
            VLADIMIR KOLMOGOROV<\/strong><\/li>\n\n\n\n
          • Combinatorics and Probability
            MATTHEW KWAN<\/strong><\/li>\n\n\n\n
          • Machine Learning and Computer Vision
            CHRISTOPH LAMPERT<\/strong><\/li>\n\n\n\n
          • Data Science, Machine Learning, and Information Theory
            MARCO MONDELLI<\/strong><\/li>\n\n\n\n
          • Cryptography
            KRZYSZTOF PIETRZAK<\/strong><\/li>\n\n\n\n
          • Discrete and Computational Geometry and Topology
            ULI WAGNER<\/strong><\/li>\n\n\n\n
          • Computer Graphics and Physics Simulation
            CHRIS WOJTAN<\/strong><\/li>\n<\/ul>\n\n\n\n

            <\/p>\n\n\n\n

            Data Science & Scientific Computing<\/strong><\/h4>\n\n\n\n

            Data Science & Scientific Computing (DSSC) at IST Austria comprises the most interdisciplinary track in the PhD program.<\/p>\n\n\n\n

            Topically, faculty in this track work on a diverse set of problems, ranging from mathematical models of evolution (Barton), medical genomics (Robinson), bioinformatics (Vicoso), systems biology (Guet) and theoretical biophysics (Hannezo, Tka\u010dik), computational neuroscience (Vogels), to machine learning (Lampert), data science and information theory (Mondelli), distributed systems (Alistarh), computational fabrication (Bickel), physics simulation (Wojtan), geophysical fluid dynamics (Muller), and computational material sciences (Cheng). Common to these topics \u2014 and emphasized as the focus of the track \u2014 is the development and use of advanced data analysis methods, numerical simulation, and statistical inference to address complex and data-intensive problems in sciences and engineering.<\/p>\n\n\n\n

            COMPLETE DSSC RESEARCH GROUP DETAILS ON IST AUSTRIA\u2019S MAIN SITE:<\/strong><\/p>\n\n\n\n

              \n
            • Distributed Algorithms and Systems
              DAN ALISTARH<\/strong><\/li>\n\n\n\n
            • Evolutionary Genetics
              NICK BARTON<\/strong><\/li>\n\n\n\n
            • Computer Graphics and Digital Fabrication
              BERND BICKEL<\/strong><\/li>\n\n\n\n
            • Computational Material Science
              BINGQING CHENG<\/strong><\/li>\n\n\n\n
            • Systems and Synthetic Biology of Genetic Networks
              C\u0102LIN GUET<\/strong><\/li>\n\n\n\n
            • Physical Principles in Biological Systems
              EDOUARD HANNEZO<\/strong><\/li>\n\n\n\n
            • Machine Learning and Computer Vision
              CHRISTOPH LAMPERT<\/strong><\/li>\n<\/ul>\n\n\n\n
                \n
              • Data Science, Machine Learning, and Information Theory
                MARCO MONDELLI<\/strong><\/li>\n\n\n\n
              • Atmosphere and Ocean Dynamics
                CAROLINE MULLER<\/strong><\/li>\n\n\n\n
              • Theoretical Biophysics and Neuroscience
                GA\u0160PER TKA\u010cIK<\/strong><\/li>\n\n\n\n
              • Medical Genomics
                MATTHEW ROBINSON<\/strong><\/li>\n\n\n\n
              • Sex-Chromosome Biology and Evolution
                BEATRIZ VICOSO<\/strong><\/li>\n\n\n\n
              • Computational Neuroscience and Neurotheory
                TIM VOGELS<\/strong><\/li>\n\n\n\n
              • Computer Graphics and Physics Simulation
                CHRIS WOJTAN<\/strong><\/li>\n<\/ul>\n\n\n\n

                <\/p>\n\n\n\n

                Mathematics<\/strong><\/h4>\n\n\n\n

                Mathematics at IST Austria is an open, curious community, active in research that is inspired by both purely mathematical concepts and applications in physics, computer science, and other fields.<\/p>\n\n\n\n

                The groups on campus have strengths in a variety of areas, including discrete and computational topology and geometry (Edelsbrunner and Wagner), mathematical physics (Erd\u0151s, Seiringer), dynamical systems (Kaloshin), stochastic analysis and partial differential equations (Fischer, Maas), algebraic geometry and representation theory (Hausel), combinatorics (Kwan) and number theory (Browning). There are regular seminars and talks, and the mathematics groups work closely with each other, as well as with groups in other fields, including computer science and biology (Barton).<\/p>\n\n\n\n

                COMPLETE MATHEMATICS RESEARCH GROUP DETAILS ON IST AUSTRIA\u2019S MAIN SITE:<\/strong><\/p>\n\n\n\n

                  \n
                • Evolutionary Genetics
                  NICK BARTON<\/strong><\/li>\n\n\n\n
                • Analytic Number Theory and Its Interfaces
                  TIM BROWNING<\/strong><\/li>\n\n\n\n
                • Algorithms, Computational Geometry and Computational Topology
                  HERBERT EDELSBRUNNER<\/strong><\/li>\n\n\n\n
                • Mathematics of Disordered Quantum Systems and Matrices
                  L\u00c1SZL\u00d3 ERD\u0150S<\/strong><\/li>\n\n\n\n
                • Theory of Partial Differential Equations, Applied and Numerical Analysis
                  JULIAN FISCHER<\/strong><\/li>\n\n\n\n
                • Geometry and Its Interfaces
                  TAMAS HAUSEL<\/strong><\/li>\n<\/ul>\n\n\n\n
                    \n
                  • Dynamical Systems, Celestial Mechanics, and Spectral Rigidity
                    VADIM KALOSHIN<\/strong><\/li>\n\n\n\n
                  • Combinatorics and Probability
                    MATTHEW KWAN<\/strong><\/li>\n\n\n\n
                  • Stochastic Analysis
                    JAN MAAS<\/strong><\/li>\n\n\n\n
                  • Mathematical Physics
                    ROBERT SEIRINGER<\/strong><\/li>\n\n\n\n
                  • Discrete and Computational Geometry and Topology
                    ULI WAGNER<\/strong><\/li>\n<\/ul>\n\n\n\n

                    <\/p>\n\n\n\n

                    Neuroscience<\/strong><\/h4>\n\n\n\n

                    Neuroscience at IST Austria covers multiple approaches, from structural, molecular, cellular, and systems level of analysis, to computational neuroscience and the study of neurodevelopmental disorders.<\/p>\n\n\n\n

                    Understanding the function of the brain is one of the major challenges in modern life sciences. Particularly intriguing questions are how higher brain functions in brain circuits, such as encoding of information (Tkacik), neuronal networks (Vogels), learning and memory (Csicsvari), neuronal basis of innate behaviors (J\u00f6sch), motor circuitry (Sweeney), and dysfunctions such as epilepsy, autism, or schizophrenia (Novarino) emerge from elementary processes, such as molecular, cellular, and synaptic components (de Bono, Jonas, Shigemoto, Siegert) and their development (Hippenmeyer). In the multidisciplinary neuroscience track, we aim to examine brain function at multiple levels in both health and disease, as well as develop advanced techniques and optical tools (Danzl) for addressing these research questions.<\/p>\n\n\n\n

                    A wide variety of cutting-edge techniques such as nanophysiology, nanophotonics, electron imaging, patch-clamp recording, genetics and genomics, mosaic analysis with double markers (MADM), 4D live-imaging, optogenetics, signal processing, computational modeling, neuronal network and behavioral analysis are employed to probe the complexity of animal neuronal systems.<\/p>\n\n\n\n

                    COMPLETE NEUROSCIENCE RESEARCH GROUP DETAILS ON IST AUSTRIA\u2019S MAIN SITE:<\/strong><\/p>\n\n\n\n

                      \n
                    • Systems Neuroscience
                      JOZSEF CSICSVARI<\/strong><\/li>\n\n\n\n
                    • High-resolution Optical Imaging for Biology
                      JOHANN DANZL<\/strong><\/li>\n\n\n\n
                    • Genes, Circuits, and Behavior
                      MARIO DE BONO<\/strong><\/li>\n\n\n\n
                    • Genetic Dissection of Cerebral Cortex Development
                      SIMON HIPPENMEYER<\/strong><\/li>\n\n\n\n
                    • Synaptic Communication in Hippocampal Microcircuits
                      PETER JONAS<\/strong><\/li>\n\n\n\n
                    • Neuroethology
                      MAX J\u00d6SCH<\/strong><\/li>\n\n\n\n
                    • Tissue Growth and Developmental Pattern Formation
                      ANNA KICHEVA<\/strong><\/li>\n<\/ul>\n\n\n\n
                        \n
                      • Genetic and Molecular Basis of Neurodevelopmental Disorders
                        GAIA NOVARINO<\/strong><\/li>\n\n\n\n
                      • Molecular Neuroscience
                        RYUICHI SHIGEMOTO<\/strong><\/li>\n\n\n\n
                      • Neuroimmunology in Health and Disease
                        SANDRA SIEGERT<\/strong><\/li>\n\n\n\n
                      • Evolution, Development and Function of Motor Circuits
                        LORA SWEENEY<\/strong><\/li>\n\n\n\n
                      • Computational Neuroscience and Neurotheory
                        TIM VOGELS<\/strong><\/li>\n\n\n\n
                      • Theoretical Biophysics and Neuroscience
                        GA\u0160PER TKA\u010cIK<\/strong><\/li>\n<\/ul>\n\n\n\n

                        Physics<\/strong><\/h4>\n\n\n\n

                        Physics at IST Austria comprises theoretical and experimental approaches.<\/p>\n\n\n\n

                        On the theory side, research areas include atomic, molecular, and optical physics (Lemeshko), theoretical condensed matter physics and quantum dynamics (Serbyn), mathematical physics (Erd\u00f6s, Seiringer), biophysics (Tkacik), physical principles in biological systems (Hannezo), as well as soft matter theory and materials design (Goodrich).<\/p>\n\n\n\n

                        Experimental research is carried out in the areas of fluid dynamics\/turbulence (Hof), geophysical fluid dynamics (Muller), soft and complex materials (Waitukaitis), quantum thermodynamics (Modic), nanoelectronics (Katsaros), quantum integrated devices (Fink), quantum sensing with atoms and light (Hosten), condensed matter and quantum circuits (Higginbotham), condensed matter and ultrafast optics (Alpichshev), nanoscale photonics for biology (Danzl), and NMR spectroscopy and biophysics (Schanda).<\/p>\n\n\n\n

                        \n