Postdoc fellowships, student fellowships
The center holds a prestigious Ph.D. and Postdoc positions that competea with the top positions at international institutions, taking advantage of TIPAP interdisciplinary nature
Lectures series
TIPAP calls for a diverse, internationally attractive, and high-quality lecture series on topics in particle physics and astrophysics, with a focus on the interface between these two fields of research
The TIPAP funds a regular short- and long-term visitor program, allowing renowned worldwide researchers to visit TAU.
These guests are invited to teach, give seminars on state-of-the-art results, and collaborate on topics related to the center.
Schools
The institute annually hosts a school for graduated students and young faculty, with world-leading international lecturers who are experts in theoretical and experimental particle physics, observational astronomy, cosmology, and astroparticle physics.
Conference and workshops
Detectors R&D Laboratory
Special attention is given to the design and development of new detection technologies that will lay the ground for discoveries. In particle physics the focus is detectors that can detect and measure the properties of subatomic particles, to be used in particle accelerators and small-scale experiments. For astronomy, the TIPAP focuses on the design and construction of detectors to detect unexplored celestial objects and for dark matter searches (either on ground-based or spaceborne telescopes)
Computational resources
New faculty positions
We keep looking for new faculty members who specifically work on these two disciplines to bridge the gap between the fields of particle physics and astrophysics and to bring new state-of-the-art research that will advance the goals of the institute.
The institute hosts an annual scientific meeting that brings together world experts from relevant research fields to exchange ideas, strengthen existing collaborations, and form new ones.
Analyzing the vast amount of data from terrestrial experim.ents and astronomical observations requires strong and dedicated computing power. To cope with those, the center provides shared storage, a large computing cluster, and software to its participants. Furthermore, machine-learning tools that developed by members of the TIPAP will be shared and used when necessary by any of the members.