- Location
- Wien, Wien
- Education
- PhD
- Source
- Personio
Description
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 Science here
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
STEP 1. Submit biographical information, your cv, and a portfolio of your work (max. 1 page) through the online application portal. The cv and portfolio should be combined into a single pdf. The portal closes on 15 October 2026*.
STEP 2. Send your responses to the following questions as a single pdf (max. 2 pages) to [email protected] by 20 October 2026*. Send via the email address with which you registered in Step 1. Do not include any other documents or any other recipients.
STEP 3. Ensure two referees have provided their recommendation by 01 November 2026*. Provide your referees with our instruction sheet, available here.
STEP 4. If invited, complete a preliminary online interview by 10 November 2026*. You will receive an invitation with instructions only after completing STEP 2 and passing an eligibility check and preliminary review.
Downloads
- Application instructions
- Letter of recommendation instructions