Ph.D. Position in Biomedical Visualization and Visual Analytics

We invite applications for a 4-year Ph.D. position, offering applicants an exciting opportunity to investigate novel Visualization and Visual Analytics strategies, to support clinical research on pediatric brain cancer therapy.


  • Master's studies in Computer Science, Biomedical Engineering, Bioinformatics, or another similar technical field (completed by the starting date of the employment).
  • Very good knowledge in Visualization and Visual Analytics.
  • Good programming skills (e.g., Python, C++).
  • Good communication skills and ability to work as an independent and flexible researcher in an international and diverse team.
  • Being curious, creative, and enthusiastic about research.
  • Very good command of English (speaking and writing).

Favorable Qualifications and Skills

  • Interest or knowledge in (Biomedical) Image Analysis, Machine Learning, and related frameworks (e.g., Scikit-Learn, TensorFlow, or PyTorch).
  • Interest in supervising students and teaching (undergraduate/graduate).

The position will be funded according to the Austrian Collective Agreement for university staff, allowing you to support a comfortable life in Vienna.

Entry-level salary as a Ph.D. researcher is currently 2.228,60 EUR/month gross (30h/week contract), 14 times/year.

Duration of 4 years, starting date as soon as possible.

Further information is available from Renata Raidou

The application should be done through

Application Deadline: July 29th, 2021

What we offer in exchange:

  • A creative environment in Vienna, one of the most livable cities in the world
  • Freedom to explore both your scientific and creative interests in the course of your work (within the scope of visualization and visual computing).
  • A young and international team of researchers with an excellent working atmosphere
  • A work environment that is well equipped with the newest hardware and software technology
  • The possibility to present your research results at international top conferences
  • Continuing personal and professional education

How to apply:

The official application should include:

  • Motivation letter
  • CV
  • Certificates of degrees and grades in courses taken
  • List of publications
  • If completed, a copy of the Master thesis in PDF form. Otherwise, a short abstract thereof. 

TU Wien is committed to increasing female employment in leading scientific positions.

Female applicants are explicitly encouraged to apply.

Preference will be given to female applicants if equally qualified.

Furthermore, please note that applicants will not normally be reimbursed for travel costs incurred in connection with this call.