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4.5-6 years
Full time
Doctorate / PhD
Scholarships available
On campus
Klosterneuburg
English
September 2021
Application deadline: 08 January 2021

Program description

PhD in Computer Science

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.

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), computational geometry and topology (Edelsbrunner,Wagner), cryptography (Pietrzak), computer graphics and physics simulation (Wojtan), and computational fabrication and optimization (Bickel) are some of the research strengths of our faculty.

Admission requirements

IST Austria welcomes students with different academic backgrounds who can bring their skills and experiences to the scientific setting.

Students with a Bachelor’s or Master’s degree in biology, neuroscience, mathematics, computer science, physics, data science and scientific computing and related areas are encouraged to apply.

Selection criteria

The selection committee uses a collection of indicators to evaluate the applicant’s preparedness, motivation, and potential. The following will be considered:

Scientific promise:

  • Undergraduate performance: overall, with a special focus on relevant field-specific courses
  • Reference letters provided by professors and senior scientists: one letter from industry is acceptable, but letters from an academic background are given priority; referees are asked to address analytical capabilities, technical proficiency, ability to work independently and motivation/commitment;
  • Statement of purpose: the applicant’s past research experience and motivation for applying to this particular PhD program: is it a good academic fit? does the program contribute to the candidate’s future career plans?, etc.;
  • Additional relevant skills (field-specific): demonstrated in, e.g., internships and/or participation in research projects, participation in science Olympiads, programming languages, lab techniques, etc.

Background:

  • Quality of the undergraduate background, i.e. quality of the institution attended
  • Transferable skills: e.g. communication skills, experience with working in teams, previous mobility and international experiences, leadership experience as demonstrated in student organizations, etc.;
  • Diversity: e.g. a woman in computer science/math/physics; an applicant who switched fields, etc.

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Program content

  • Distributed Algorithms and Systems
  • Computer Graphics and Digital Fabrication
  • Computer-aided Verification, Game Theory
  • Algorithms, Computational Geometry and Computational Topology
  • Design and Analysis of Concurrent and Embedded Systems
  • Discrete Optimization
  • Machine Learning and Computer Vision
  • Data Science, Machine Learning, and Information Theory
  • Cryptography
  • Discrete and Computational Geometry and Topology
  • Computer Graphics and Physics Simulation

Scholarships & funding

All our PhD students are fully funded, at internationally competitive salary levels, and receive full social security coverage.

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About this institute

Institute of Science and Technology Austria logo

Institute of Science and Technology Austria

Located just outside Vienna, the Institute of Science and Technology Austria (IST Austria) is an international institute dedicated to basic research and graduate education in Biology, Computer Science, Data Science & Scientific Computing, Mathematics, Neuroscience and Physics. In 2019, IST...


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Contact info

Institute of Science and Technology Austria

Am Campus 1
3400 Klosterneuburg
Austria

 Show phone number
phd.pages.ist.ac.at

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