Research Assistant in Computer Science

Location: Oak Ridge, TN, US, 37830
Company: Oak Ridge National Laboratory (ORNL)
Requisition : 15682

Oak Ridge National Laboratory (ORNL) is seeking a highly motivated Postdoctoral Research Associate to contribute to the NEUROPIX project, an interdisciplinary effort at the intersection of:

High-energy physics (HEP) detectors

Neuromorphic computing

Machine learning for edge processing

The successful candidate will work with a multi-institutional, multidisciplinary team to develop AI-enabled, low-latency signal-processing algorithms for next-generation pixel detectors used in high-energy physics experiments.

This position resides in the Relativistic Nuclear and High Energy Physics group
, Physics Division, Physical Science Directorate, at ORNL.

Neuromorphic & Machine Learning Algorithm Development:

Develop and train Spiking Neural Networks (SNNs) for clustering, classification, and interpolation of pixel detector data

Perform hyperparameter optimization using HPC resources

Detector Simulation & Data Processing:

Use and extend Allpix2 and TCAD-based simulation tools

Generate large simulation datasets for algorithm training and validation

Integrate simulation with neuromorphic platforms

FPGA / Hardware-Embedded AI:

Deploy SNNs to FPGA-based neuromorphic hardware (Neuro Spike/Neuro Spark)

Generate RTL using HLS workflows; evaluate resource usage, latency, and performance

Participate in hardware test benches for real detector systems

Test and characterize pixel detectors (CMS HL-LHC, Timepix4, AC-LGAD, PDCs)

Demonstrate on-sensor data processing with hardware prototypes

Potential involvement in beam tests or radiation-source laboratory setups

Ph.D. in Physics, Electrical Engineering, Computer Science
, or a closely related field

Experience in at least one of the following areas:

Pixel detectors in high-energy physics or radiation detection

Neuromorphic computing or Spiking Neural Networks

Machine learning, AI/ML algorithms, or scientific computing

Strong programming skills in Python and/or C++

Ability to work collaboratively in a multidisciplinary team

Strong communication skills for clear documentation and presentation of research

Experience with:

Allpix2, GEANT4, detector simulation, or TCAD

HPC environments or GPU-accelerated computing

Familiarity with HEP data formats and reconstruction

Background in semiconductor sensor physics or microelectronics

Applicants cannot have received their Ph.D. more than five years prior to the application date

Must complete all degree requirements before starting

Appointment length: up to 24 months with potential extension, contingent on performance and funding

Position requires ability to obtain and maintain HSPD-12 PIV badge

Real
-compliant identification required for employment

Must complete and pass a Federal Tier 1 background check

Foreign nationals: candidates without 3 consecutive years U.S. residency require Local Site Specific Only (LSSO) risk determination

U.S. Department of Energy (DOE) Office of Science national laboratory

80-year legacy addressing national scientific challenges

Team of 7,000+ employees

Environment valuing diverse perspectives and backgrounds

Competitive pay and benefits, including:

Medical, dental, and vision plans

401(k) and contributory pension plans

Life and disability insurance

Generous vacation, holidays, and parental leave

Legal insurance, identity theft protection, and educational assistance

On-site amenities: fitness, banking, cafeteria

Relocation assistance and employee discounts

Position open for a minimum of 5 days
; closes when qualified candidate is identified

File types accepted:
Word (.doc/.docx), Adobe PDF, RTF, HTML (.htm/.html), up to 5MB

Third-party resumes not accepted

Accommodation: For difficulty using the online application system or disability-related accommodations, email ORNLRecruiting

ORNL is an equal opportunity employer
. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer
.

In your application, please refer to