Postdoc - Working on AI Applications for Rare Event Searches with Cryogenic Detectors

Postdoc - Working on AI Applications for Rare Event Searches with Cryogenic Detectors

Austrian Academy of Sciences

Vienna, Austria

€ 5.011,96 per month gross

The Marietta Blau Institute for Particle Physics (MBI) of the Austrian Academy of Sciences (OeAW) is seeking applications for a position as Postdoc (f/m/x) - Working on AI Applications for Rare Event Searches with Cryogenic Detectors for a period of two years

We are looking for a highly motivated postdoctoral researcher to play a key role in further advancing these experiments using new AI technologies. The successful candidate will contribute to the development and optimization of cryogenic detector systems and apply AI methods to analyze the data collected by these systems, addressing key physics questions related to dark matter and neutrino interactions. This position offers the opportunity to collaborate with world-class researchers and contribute to international efforts in understanding the fundamental nature of the universe.

Qualifications

The Experimental Particle Physics Group, a joint working group of the Institute of Atomic and Subatomic Physics at the Technische Universität Wien and the Marietta Blau Institute for Particle Physics (MBI) of the Austrian Academy of Sciences, is actively involved in cutting-edge research within the NUCLEUS, COSINUS, and CRESST experiments. These experiments focus on rare-event searches, including coherent elastic neutrino-nucleus scattering and direct dark matter detection, using advanced cryogenic detectors. The MBI hosts a research group dedicated to Machine Learning in Particle Physics.

Qualifications:

• PhD in Particle Physics, Astroparticle Physics, or a closely related field;
• Strong background in artificial intelligence, machine learning, and data science;
• Experience with cryogenic detectors or low-temperature experimental systems is highly desirable;
• Proficiency in programming languages such as Python or C++;
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and advanced data analysis tools;
• Excellent problem-solving skills and the ability to work effectively in interdisciplinary teams;
• Strong communication skills and a proven track record of scientific publications.

Preferred Qualifications

• Experience with dark matter or neutrino physics experiments;
• Knowledge of hardware integration and real-time control systems;
• Familiarity with high-performance computing and parallel processing techniques;
• Proven track-record of project- and stake holder management in an international scientific environment.