Summer Internship | 2027

Vienna

Full or part-time

Intern / Student

• Students currently enrolled in a degree-granting Bachelors, Masters, or combined degree program from an accredited institution.
  • Bachelors students should have completed at least 1 year of study by the start of the internship.
  • Applicants planning to re-enroll in such a program within the next 12 months are also eligible.
• Applicants with a facility for quantitative approaches.
  • Prior coursework in a quantitative discipline (e.g., social, natural, or information sciences, mathematics, engineering).
  • Programming experience or coursework in Python, R, or statistical platforms (an asset).
  • Proficiency in English.
• Individuals whose goals align with those of the program.
  • This is a learning experience: no prior independent research experience or familiarity with complexity science methods required.
  • Remote participation is not possible. Accepted students must be in Vienna, Austria, for the duration of the program. 
• We strongly encourage applications from women and individuals from historically excluded groups in the sciences.
• Availability for 6 to 10 weeks, between June 15 – September 1, 2027We do not offer internships outside of the summer months of June-August.

• Independent Complexity Science Project:
  • Engage in a self-driven research project focused on complexity science. Available projects can be found here.
• Individualized Training:
  • Receive personalized guidance and mentorship from dedicated project advisor(s).
• Scientific Talks and Research Seminars:
  • Attend talks and seminars on cutting-edge research topics in complexity science.
• Introductory Skills and Foundations Workshops:
  • Participate in workshops to build foundational skills and knowledge.
• Social Activities:
  • Enjoy a select number of intern-only social events.
• Project Presentation:
  • Present your research findings to the CSH community.

The core of the internship experience is the project and the close collaboration with the project advisor(s). The project advisors, along with other members of the research team, will help with technical aspects of the project and provide regular opportunities to discuss bigger-picture elements of the work. Advisors provide reading lists and additional learning resources so that students can enhance their knowledge and skills related to the project. Students will also have access to a range of workshops, seminars, and talks to help them gain knowledge about complexity science and current areas of research.

Application for a summer internship at CSH is possible until January 11, 2027 (midnight Vienna local time). Late applications cannot be accepted. 
Applicants must submit: 
Input directly into the application form:
(1) biographical information
(2) general details of academic background
Upload:
(3) curriculum vitae or resume
(4) a cover letter that addresses the following points:

• Describe any job experiences, coursework, hobbies, skills, degrees, certifications, or licenses that you have that might be relevant during this internship.
• Describe your vision as a young scientist. What problem(s) would you like to solve? If your interest is in data visualization, what do you hope to achieve with your work?
• Describe what interests you about a specific project and how it fits into your scientific vision. Describe how this internship could be useful towards realizing your scientific (or other) goals.

 
Candidates will be notified of their application status in early March.