DIS PhD Graduate Program | 2027

Complexity Science Hub; Wien; Vor Ort; EUR 20.000 - 27.000; Vollzeit

Benefits dieser Stelle

Fully funded doctoral studies

International exchanges

Zusammenfassung

Complexity Science Hub invites applications for its Graduate Program in Complexity Science. This doctoral opportunity supports independent thesis research, two short research exchanges, coursework, and participation in a vibrant research community with international conferences and skill-building.

Applicants should have a strong quantitative background and experience in research design. The program includes exchanges in government, industry, and academia, and provides structured training and

Qualifikationen

• Masters/diploma with strong quantitative foundation or 2+ years of full-time research in quantitative area.
• Independent research experience familiar with the research process.
• Proficiency in Python, R, Matlab/Julia, SQL, or SPSS/SAS/Stata.
• Proficiency in English.

Kenntnisse

Quantitative reasoning

Independent research

English proficiency

Collaboration & communication

Ausbildung

Masters or diploma with strong quantitative foundation

Tools

Python

R

SQL

Matlab/Julia

SPSS/SAS/Stata

Jobbeschreibung

WE SEARCH FOR

We are looking for students who want to use their exceptional knowledge and skills to make a meaningful difference in society – whether supporting the green transition, combating crime and misinformation, improving healthcare outcomes, or building more equitable economies. Applicants should be interested in having a substantial degree of independence in their work and be curious about a breadth of topics within the research areas of the Complexity Science Hub. They should be open communicators, and enjoy collaboration and sharing their expertise and ideas with others.Read about the Graduate Program in Complexity Sciencehere

YOUR PROFILE

• Masters/diploma degree in the natural, physical, or social sciences, mathematics, computer science, engineering, or related disciplines with a strong quantitative foundation; or another degree but with at least two years of full-time research experience in a quantitative area.
• Prior independent research experience so as to be familiar with the research process
• Comfort with a programming language such as Python, R, Mathematica, Matlab, or Julia, or a database management and query language such as SQL; and/or substantial experience with statistical packages such as SPSS, SAS, or Stata
• Proficiency in English

WE OFFER

The Graduate Program in Complexity Science has a limited number of fully funded opportunities for exceptional students to do their doctoral studies at the Complexity Science Hub and one of its partner universities. The program consists of:

• independent thesis research, determined by each student’s interests
• two ~3-month research exchanges: one in government, public administration, or EU institution; and one in industry or business
• coursework and workshops, including an annual series of CSH “master classes” led by prominent guest lecturers
• participation in the CSH research talk series, with regular presentations
• international scientific conferences and schools, career development support, and transferrable skills training

APPLICATION

• Describe a research project you were involved in and your individual contribution. What specific methods or tools did you use? Describe one part of your work that didn’t go as expected - what happened and what did you learn about the approach, research design, dataset, etc.?
• Identify one specific discovery from a CSH research group that you’ve read about. Summarize that discovery in one sentence using your own words. What is one unanswered question that this research left you with? What do you find most interesting about that question?
• Describe a problem, question, or conceptual space you might want to explore during your PhD. Your idea doesn’t need to be a fully formed research plan, but you should give a specific statement of the issue and why you think it’s both tractable (i.e. you could make progress on this) and worth studying (i.e. why is it important and for whom?). You are welcome to develop your own ideas or take inspiration from our list of springboard projects (updated regularly).