Recognizing Excellent Early-Career Research
The MCQST Master's Award annually honors two outstanding Master's theses (theory and experiment) from the MCQST community. The prize highlights and recognizes outstanding master research projects, and it aims to encourage awardees to continue pursuing a further career in science.
MCQST considers outstanding theses graded 1.0 that demonstrate original thought, a unique approach to the chosen topic or field of study, significant personal contribution, and creativity. These theses are from students working in research groups associated with MCQST.
Awards are announced at the MCQST 2025 conference, which takes place in Kufstein on June 3rd-6th. The winners are invited to present a brief overview of their work to the MCQST community. The prize money of €1000 is kindly sponsored by Zurich Instruments.
How to Apply?
Application Deadline: 31 March 25
Send the following documents, in order, as a single PDF document to support[at]mcqst.de:
- Abstract of Thesis
- Transcript of Records
- CV
- PDF of thesis in a separate file (or link)
- And a Letter of recommendation by an MCQST PI. The letter should be sent directly to support[at]mcqst.de by the PI supporting the application.
Please note that only applications of outstanding theses (graded 1.0), submitted between 1 January 24 and 31 December 24, and accompanied by letters of recommendation from MCQST PIs are taken into consideration.
Questions? Contact support[at]mcqst.de.

Awardees

Julian Bösl
MCQST Master's Award 2023:
Excitations in higher moment conserving systems
TUM & LMU
Supervisor: Prof. Michael Knap

Jan Kochanowski
MCQST Master's Award 2023:
Static and Dynamic properties of quantum spin systems at non-zero T
TUM & LMU
Supervisor: Prof. Ignacio Cirac
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Wun Kwan Yam
MCQST Master's Award 2022:
Microwave Quantum Teleportation Over a Thermal Channel
TUM & WMI
Advisor: Rudolf Gross

David Gröters
MCQST Master's Award 2022:
Diffraction-limited Imaging and Trapping of Ultracold Ytterbium Atoms in Optical Tweezer Arrays
LMU München
Advisor: Monika Aidelsburger