Applied Research Associate For Machine Learning On Fpgas

The Omega Group in the Physics Department at BNL focuses on the ATLAS experiment at CERN in Geneva, Switzerland. The Omega Group has major responsibilities in the operation of the Liquid Argon calorimeter, Trigger & Data Acquisition, and software development, and has leading roles in the ATLAS High Luminosity Large-Hadron Collider (HL-LHC) upgrade (Silicon Strip detector, Liquid Argon calorimeter, and Trigger & Data Acquisition). The group also has strong detector R&D programs on silicon detectors and in trigger/data acquisition. BNL serves as the host laboratory for the U.S. ATLAS Operations Program, the U.S. ATLAS HL-LHC Upgrade Project, the ATLAS Tier-1 computing facility, and is an active U.S. ATLAS Center.

The Omega Group in the Physics Department has an opening for a postdoc to join in the development of future collider experiments and in the current upgrade of the ATLAS experiment. The successful candidate will have a strong interest in the LHC scientific program and experience in firmware development with a focus on high level synthesis and machine learning. In this position you will contribute to R&D for machine learning on FPGA in low-latency real-time systems, and towards the development of future detectors and data acquisition systems. This position has a high level of interaction with an international and multicultural scientific community.

Essential Duties and Responsibilities:

• Developing and integrating firmware for low-latency real-time systems with a focus on High Level Synthesis for Machine Learning applications

• R&D for new detector and data acquisition concepts towards future detectors

• Participation in detector and trigger performance as part of the ATLAS scientific program with a strong focus on Electroweak and Higgs physics

Required Knowledge, Skills, and Abilities:

• Ph.D. in experimental particle, nuclear, or applied physics, electrical engineering, computing science, or a related discipline

• Experience with programming FPGAs (VHDL or System Verilog), heterogeneous devices including Systems-on-Chip, GPUs, or HPC machines

• Experience with High Level Synthesis tools for FPGAs

• Experience with machine learning techniques and tools

• Experience with data analysis and knowledge of statistical techniques for data analysis

• Knowledge of mixed-signal circuits, digital signal processing, and modern circuit components

• Experience with laboratory equipment, HDL-based design, simulation, and testing

• Ability to work in a large international collaboration

• Hands-on problem solving skills

• Clear and concise verbal and written communication skills

• Research experience demonstrated through a record of publications in peer-reviewed journals

• Proven ability for disseminating research results by writing manuscripts and giving academic presentations

Preferred Knowledge, Skills, and Abilities:

• Experience with computing and software development for high energy or nuclear physics experiments

• Expertise programming FPGAs, heterogeneous devices, GPUs, or HPC machines

• Experience with detector and electronics testing, construction, commissioning, operations or R&D for high energy or nuclear physics experiments

• Analysis with LHC data based on C/C++ and Python

• Knowledge of EDA tools for circuit simulation, schematics entry, and PCB layout design

• Experience in readout system development of scientific detector systems

OTHER INFORMATION:

• Domestic and international travel should be expected

• This is a fully onsite positions located at BNL in Upton, New York

• Initial 2-year term appointment subject to renewal contingent on performance and funding

• You may receive an email request to submit the contact information for 3 references if necessary. Please ensure references would be prepared to respond in a timely manner.

• BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a postdoc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events

• Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $70200 - $116200 / year. Salary offers will be commensurate with the final candidate's qualification, education and experience and considered with the internal peer group.

Please express your interest via electronic application including cover letter, CV, and Research Statement as Word documents or PDF in the resume field of the application. If references are requested, the application is complete when all of these documents have been received.

Consideration of applications will begin May 1, 2024 and continue until the position is filled.