Spend Your Summer Learning and Earning at One of the World's Leading Centers for Computational Science!

Berkeley Lab, located in Berkeley, CA, is a world leader in computing, biological, physical, materials, chemical, and energy sciences research. For students majoring in Computational Science, Computer Science, Data Science, Mathematics, and related fields, Berkeley Lab Computing Sciences hosts a 10–12-week research summer program that provides students with the opportunity to gain research …

ESnet’s mission is to accelerate science by delivering unparalleled networking capabilities, tools, and innovations. ESnet interconnects the US National Laboratory system, is widely regarded as a technical pioneer, and is currently the fastest science network in the world. We are working at the leading edge of software-defined networking, network knowledge plane, dynamic network infrastructure, network visualization, multi-domain and multi-layer architectures, deep learning, etc. Opportunities …

Lawrence Berkeley National Laboratory (LBNL) Scientific Networking Division has an immediate opening for a Back End, Python focused Software Engineer to join Energy Sciences Network (ESnet) on the Orchestration and Core Data team. The Orchestration and Core Data team is a small group of engineers that provide innovative network management solutions designed to orchestrate and automate service deployment, device management and ongoing operations of the ESnet network. In this role, developers will …

The QUANT-NET project at Lawrence Berkeley National Lab is seeking a talented Postdoc fellow to contribute to the development of small-scale ion-trap quantum processors and their integration into a quantum network. This exciting opportunity involves designing and implementing high-finesse optical-cavity systems for remote entanglement between quantum processors, a crucial step towards establishing a quantum network. As a member of our multi-organizational team, you will collaborate closely with professors, …

Lawrence Berkeley National Lab’s (LBNL) NERSC Division has an opening for a Machine Learning Engineer to join the team.

In this exciting role, you will apply wide-ranging expertise to support science and advanced analytics.
You will be a part of multidisciplinary and cross-institution projects, involving academic and industry partners both in domain sciences as well as in machine-learning. Responsibilities include supporting the ML/DL software stack on NERSC supercomputers, deploying new cutting-edge …