Research topics include, but are not limited to:

• quantum-classical interfaces, aka classical shadows
  https://en.wikipedia.org/wiki/Classical_shadow, opens an external URL in a new window, opens an external URL in a new window
• machine learning with data obtained from real quantum experiments
• new qudit-based quantum computing primitives, e.g. algorithms, compilation & error correction
• randomized algorithm design for numerical linear algebra and large-scale data analysis
• randomized algorithm design for convex and non-convex optimization problems
• new quantum meta-algorithms for convex optimization tasks
• quantum variants of Conway's Game of Life (and other cellular automata)
• gamification of quantum computing foundations
• and many more…

Desirable skills include knowledge of quantum computing and/or machine learning, and programming languages (e.g. Python, Julia), as well as (some) familiarity with mathematical reasoning. Note that these skills are desirable, but not strict prerequisites. On the contrary, we give our team members the opportunity to learn on the job and grow into independent quantum researchers with a versatile skill set.

How to apply?

To apply, please send an e-mail to elisabeth.peheim(at)jku.at (subject: 'Postdoc/PhD/internship application') with the following documents:

1. Motivation letter that tells us why you are interested in joining our group, and our group in particular
2. comprehensive CV
3. transcript of records, 
4. publication list (if applicable)
5. contact data of (at least) one academic reference, e.g. your thesis supervisor
    

Johannes Kepler University is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.