Show educations.com as: Mobile

Are you interested in attending a free virtual fair where you can meet universities and chat with recruiters? Spaces are limited, so  learn more and reserve your free ticket today!

PhD in Data Science and Scientific Computing

Institute of Science and Technology Austria
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 Data Science and Scientific Computing

Data Science & Scientific Computing (DSSC) at IST Austria comprises the most interdisciplinary track in the PhD program.

Topically, faculty in this track work on a diverse set of problems, ranging from mathematical models of evolution, bioinformatics, systems biology and theoretical biophysics, to machine learning, data science and information theory, computational fabrication and physics simulation. 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.

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.

Does this course require proof of English proficiency?

The TOEFL® test is accepted by 10,000+ universities and higher education institutes in over 150 countries. Book your test today!

Learn more Advertisement

Program content

  • Distributed Algorithms and Systems
  • Evolutionary Genetics
  • Computer Graphics and Digital Fabrication
  • Systems and Synthetic Biology of Genetic Networks
  • Physical Principles in Biological Systems
  • Machine Learning and Computer Vision
  • Data Science, Machine Learning, and Information Theory
  • Theoretical Biophysics and Neuroscience
  • Medical Genomics
  • Sex-Chromosome Biology and Evolution
  • 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.

Request info

Want to know more about this program, PhD in Data Science and Scientific Computing? Fill out the following form and include any questions you have. This information will be sent directly to the school, and a representative will respond to your enquiry.

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...


Read more about this school

Contact info

Institute of Science and Technology Austria

Am Campus 1
3400 Klosterneuburg
Austria

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

Request information

Want to know more about PhD in Data Science and Scientific Computing? Fill out the following form and we'll pass your details on to a representative from the school, who will respond to your enquiry.

Reviews

Be the first to write a review!

Career test - find your perfect career

Take our free career test that will match you with programs and careers based on your interests and personality.

Take the test

You may also like...