Fully-funded PhD positions in Science and Technology, in Austria - IST 2022
The Institute of Science and Technology Austria (IST Austria) is looking for highly qualified candidates with Bachelor’s or Master’s degrees to apply for the IST Austria PhD program. IST Austria offers fully-funded PhD positions in Biology, Neuroscience, Mathematics, Computer Science, Physics, Chemistry, Data science and Scientific Computing , in a world-class research environment on the outskirts of Vienna.
Students spend the first year completing coursework and rotations before choosing a thesis group. The PhD graduates have gone on to top positions in academia and industry all over the world.
In 2019, IST Austria was ranked #3 in the world-wide Nature Index ranking (normalized). In 2018, IST Austria was ranked within the top ten of Nature Index Rising Stars “Top 30 academic institutions under 30” list and was featured in this article in Nature Index.
The PhD program
The goal of the PhD program at the Institute of Science and Technology Austria (IST Austria) is to produce intellectually broad, curious, open-minded scientists who are able to approach problems from different angles and can collaborate with diverse types of scientists. To this end, our students complete an innovative interdisciplinary training program consisting of both research and taught elements, and receive close mentoring by world-class faculty from different disciplines. All students whose broad research interests align with those of our faculty are eligible to join the IST Austria PhD program. Selection of the thesis supervisor occurs at the end of the first year.
In the first year, students complete coursework and rotations in three different research groups. After selecting a thesis supervisor and passing the qualifying examination , students work on their thesis research, attend international conferences and colloquia, and receive training in teaching and other transferable skills. Research groups are deliberately kept small to ensure close supervision, and all students are mentored by several faculty members who make up their thesis committee.
All students are offered 5-year contracts . All students making reasonable progress are fully funded until the time of their thesis defense.
Check the PhD experience brochure made by IST and the programme's website for more infomation.
Financial support
All our PhD students are fully funded , at internationally competitive salary levels, and receive full social security coverage. There is also financial support for students for attending scientific conferences and workshops.
Students with a Bachelor’s or Master’s degree in biology , chemistry, neuroscience , mathematics , computer science , physics , data science and scientific computing and related areas are encouraged to apply.
more information here
Deadline: 8 January 2022 .
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Data Science & Scientific Computing (DSSC) at ISTA comprises the most interdisciplinary track in the PhD program.
Faculty in this track work on a diverse set of problems, ranging from mathematical models of evolution ( Barton ), medical genomics ( Robinson ), bioinformatics ( Vicoso , Bronstein ), systems biology ( Guet ), theoretical biophysics ( Hannezo , Tkačik ), and computational neuroscience ( Vogels ) to machine learning ( Lampert ), data science and information theory ( Mondelli ), distributed systems ( Alistarh ) , and physics simulation ( Wojtan , Ren ).
The Astronomy groups aim at understanding the evolution of stars as well as astrophysical processes by using various modelling techniques ( Bugnet , Caiazzo , Götberg , Haiman , Matthee ).
Earth Science
Topics of the Earth Science groups are geophysical fluid dynamics ( Muller ) and mountain hydrology and mass movements ( Pellicciotti ).
Common to these topics — and emphasized as the focus of the track — 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.
COMPLETE DSSC RESEARCH GROUP DETAILS ON ISTA’S MAIN SITE:
- Distributed Algorithms and Systems DAN ALISTARH
- Evolutionary Genetics NICK BARTON
- Bronstein Group Alex Bronstein
- Stellar Dynamics and Astroseismology LISA BUGNET
- Stars and Compact Objects ILARIA CAIAZZO
- Massive Binary Stars YLVA GöTBERG
- Systems and Synthetic Biology of Genetic Networks C ă LIN GUET
- Black Hole Astrophysics and Cosmology ZOLTAN HAIMAN
- Physical Principles in Biological Systems Edouard Hannezo
- Machine Learning and Computer Vision CHRISTOPH LAMPERT
- Causal Learning and AI FRANCESCO LOCATELLO
- Astrophysics of Galaxies Jorryt Matthee
- Data Science, Machine Learning, and Information Theory Marco Mondelli
- Atmosphere and Ocean Dynamics Caroline MULLER
- Cryosphere and Mountain Hydrosphere FRANCESCA PELLICCIOTTI
- Geometric Computing and Digital Fabrication SAMARA REN
- Medical Genomics MATTHEW ROBINSON
- Information Processing in Biological Systems GA š PER TKA č IK
- Sex-Chromosome Biology and Evolution BEATRIZ VICOSO
- Computational Neuroscience and Neurotheory Tim VOGELS
- Computer Graphics and Physics Simulation CHRIS WOJTAN
Watch our video presenting the Data Science & Scientific Computing study track here .
Discover ISTA Alumni’s Inspiring Stories
Explore our alumni stories!
Get to know Alexander Kolesnikov and how our Graduate School shaped a successful career!
Featured Project:
Cells Respond to Waves in Wound Healing
Hannezo group.
PhD students Daniela Boocock and Natalia Ruzickova , along with colleagues from Kyoto University, discover the biophysical mechanism that underpins long-range cell migration towards a site of wound healing, signalled via out-of-phase mechano-chemical waves.
Read a summary of their research on Phys.org: “Research reveals how wound heals in ‘waves'” . The original publication can be found in the journal Nature Physics : “ Theory of mechanochemical patterning and optimal migration in cell monolayers” .
Mechano-chemical propagation of waves encode cell signalling information about site of wound healing. Credit: Tsuyoshi Hirashima , Kyoto University
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Phd program economics and statistics.
Would you like to work intensively on economic and socio-political questions and develop new research methods?
Apply online
The PhD Program in Economics and Statistics is offered jointly by the University of Innsbruck and the University of Linz, leading European institutions for empirical economics and data science as well as behavioral and experimental economics. The programme is open to students from around the world, provided they hold a Master’s degree or equivalent. Students become competent researchers within the research community investigating economic and socio-political problems in depth and developing new research methods. The topic of a dissertation should be aligned with the research interests of potential supervisors. Please check the faculty pages to learn about the research interests of potential supervisors. It is highly recommended to contact potential supervisors before finally applying to the programme.
Study Code UC 794 355 xxx
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Graduates acquire the ability
- to write scientific papers that meet the international standards of peer-reviewed publications;
- to contribute to the international research network; to develop independent research programmes with scientific integrity and to successfully introduce and implement these at national and international research funding agencies;
- communicate with their professional environment, the scientific community and society in general about their specialist field.
The work of the graduates of the PhD Program in Economics and Statistics mainly consist of:
- to conduct theoretical and empirical research in economics or statistics and to publish internationally in economics or statistics,
- to apply theoretical and empirical research methods to solve (economic-political) problems and to develop them further for new problems.
Graduates will find their professional field of activity among other things:
- at universities,
- in research institutions and other post-secondary educational institutions,
- in research departments of the European Central Bank, the Oesterreichische Nationalbank, of other banks, rating agencies, regional development companies, market research institutions as well as in other companies and commercial organisations,
- in research departments of international organizations such as the OECD (Organization for Economic Development and Cooperation), EU (European Union), IMF (International Monetary Fund) or the World Bank,
- in research departments of public institutions, interest groups and NGOs (non-governmental organisations),
- in politics and the media,
- in the national statistical institutes, in particular Statistics Austria and the regional statistical offices.
Graduates tracking : Shows which occupational fields students enter after graduation
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The next online session takes place on December 11th, 2023 at 3pm. You can attend the session via the follwing link: https://webconference.uibk.ac.at/b/jud-egz-szc-fcy
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Related studies
Economics and Statistics (PhD Programme)
Doctor of Philosophy
Management (PhD Programme)
Political Science (Doctoral Programme)
Sociology (Doctoral Programme)
- Birgit Pichler
- Foto: Colourbox.de
- Modell Foto: Colourbox.de
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