Postdoctoral Researcher – AI & Machine Learning for Particle Physics

Company Description The Weizmann Institute of Science, located in Rehovot, Israel, is a leading multidisciplinary research institution recognized worldwide for excellence in basic science. The Institute fosters a collaborative environment that brings together physicists, computer scientists, and other researchers to address fundamental scientific questions. It offers advanced facilities, state-of-the-art laboratories, and strong technical support for cutting-edge research in particle physics and artificial intelligence. Postdoctoral researchers benefit from an international community, mentoring by established scientists, and opportunities to present and publish their work. The Institute is committed to inclusive, merit-based recruitment and professional development.

Role Description The Postdoctoral Researcher – AI & Machine Learning for Particle Physics will conduct original research at the intersection of high-energy physics and advanced computational methods. Day-to-day activities include designing and implementing machine learning models for data from particle physics experiments, performing data analysis, and interpreting results in collaboration with experimental and theoretical teams. The role involves developing and maintaining research code, participating in laboratory work related to detector operation or data acquisition, and contributing to publications and conference presentations. The researcher may support teaching and mentoring of students through supervision of projects, tutorials, or seminars. This is a full-time, on-site position based at the Weizmann Institute in Rehovot, with active engagement in the Institute’s research community.

Qualifications

• Strong background in Physics and Particle Physics, with the ability to connect theoretical concepts to experimental data.
• Demonstrated experience in Research, including designing studies, reviewing literature, and publishing in peer-reviewed venues.
• Proficiency in Data Analysis, including statistical methods, programming (e.g., Python, C++), and use of relevant scientific computing tools.
• Laboratory Skills applicable to particle physics experiments, such as handling detectors, instrumentation, or experimental setups.
• Teaching or mentoring experience, with the ability to guide students and contribute to academic training activities.
• Doctoral degree (PhD) in Physics, Computer Science, or a closely related field completed or near completion at the time of appointment.
• Experience with machine learning, deep learning frameworks (e.g., TensorFlow, PyTorch), and AI methods relevant to scientific data is highly beneficial.
• Strong communication skills, ability to work collaboratively in an interdisciplinary team, and readiness to engage in an international research environment.